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The closest head-to-head comparison for this addition.",{"relationship_type":96,"relationship_display_name":97,"relationship_description":98,"relationship_display_order":99,"tool":121,"strength":72,"notes":134},{"tool_id":122,"name":123,"slug":124,"tooltip_description":125,"logo_url":126,"logo_bg":84,"pricing_model":127,"learning_curve_score":93,"popularity_score":59,"hosting_assignment_type":35,"hosting_provider_restriction":61,"hosting_target_restriction":61,"hosting_compatible_tool_ids":35,"parent_tool_id":35,"category":128,"subcategory":129,"categories":130,"subcategories":131,"flexibility_score":59,"performance_score":59,"portability_score":59,"is_featured":73,"tags":132,"score_reasonings":133,"published_date":35,"last_updated_date":35},161,"DeepSeek","deepseek","Chinese open-weight LLM family under the MIT license, led by DeepSeek-V4.1-Flash, offering frontier-level results at very low API prices, with full self-hosting through vLLM, SGLang, and Ollama.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fdeepseek.svg",{"slug":56,"display_name":57,"description":58},{"category_id":108,"name":109,"slug":110},{"subcategory_id":112,"name":113,"slug":114},[],[],[],{},"MiniMax and DeepSeek are both self-hostable, open-weight Chinese-lab model families competing on the same open-weight leaderboards, with MiniMax M3 currently ranking ahead on the August 2026 intelligence-index.",{"relationship_type":96,"relationship_display_name":97,"relationship_description":98,"relationship_display_order":99,"tool":136,"strength":72,"notes":149},{"tool_id":137,"name":138,"slug":139,"tooltip_description":140,"logo_url":141,"logo_bg":84,"pricing_model":142,"learning_curve_score":86,"popularity_score":72,"hosting_assignment_type":35,"hosting_provider_restriction":61,"hosting_target_restriction":61,"hosting_compatible_tool_ids":35,"parent_tool_id":35,"category":143,"subcategory":144,"categories":145,"subcategories":146,"flexibility_score":59,"performance_score":59,"portability_score":59,"is_featured":73,"tags":147,"score_reasonings":148,"published_date":35,"last_updated_date":35},162,"Qwen","qwen","Alibaba's LLM family, from sub-1B models to a 2.4-trillion-parameter flagship, covering reasoning, coding, vision, and long context, mostly under Apache 2.0 open weights with a hosted API on Alibaba Cloud.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fqwen.svg",{"slug":56,"display_name":57,"description":58},{"category_id":108,"name":109,"slug":110},{"subcategory_id":112,"name":113,"slug":114},[],[],[],{},"MiniMax and Qwen are both self-hostable, open-weight Chinese-lab model families with strong coding-benchmark results, competing directly on the same open-weight leaderboards.",{"relationship_type":96,"relationship_display_name":97,"relationship_description":98,"relationship_display_order":99,"tool":151,"strength":72,"notes":164},{"tool_id":152,"name":153,"slug":154,"tooltip_description":155,"logo_url":156,"logo_bg":54,"pricing_model":157,"learning_curve_score":86,"popularity_score":72,"hosting_assignment_type":35,"hosting_provider_restriction":61,"hosting_target_restriction":61,"hosting_compatible_tool_ids":35,"parent_tool_id":35,"category":158,"subcategory":159,"categories":160,"subcategories":161,"flexibility_score":59,"performance_score":72,"portability_score":59,"is_featured":73,"tags":162,"score_reasonings":163,"published_date":35,"last_updated_date":35},163,"Mistral","mistral","Europe's leading open-weight LLM family, from small edge models to a frontier MoE flagship, available through Mistral's API, its Vibe assistant, the major clouds, or self-hosted.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fmistral.svg",{"slug":56,"display_name":57,"description":58},{"category_id":108,"name":109,"slug":110},{"subcategory_id":112,"name":113,"slug":114},[],[],[],{},"MiniMax M3 offers a 1M-token context and native multimodal input; Mistral provides a range from edge models to a MoE flagship with European hosting options. 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Compare them on your own coding benchmarks.",{"relationship_type":96,"relationship_display_name":97,"relationship_description":98,"relationship_display_order":99,"tool":181,"strength":72,"notes":194},{"tool_id":182,"name":183,"slug":184,"tooltip_description":185,"logo_url":186,"logo_bg":84,"pricing_model":187,"learning_curve_score":93,"popularity_score":93,"hosting_assignment_type":35,"hosting_provider_restriction":61,"hosting_target_restriction":61,"hosting_compatible_tool_ids":35,"parent_tool_id":35,"category":188,"subcategory":189,"categories":190,"subcategories":191,"flexibility_score":59,"performance_score":59,"portability_score":59,"is_featured":73,"tags":192,"score_reasonings":193,"published_date":35,"last_updated_date":35},231,"Xiaomi MiMo","xiaomi-mimo","Xiaomi's open-weight, MIT-licensed LLM family, led by the omnimodal MiMo-V2.6-Pro (1.02T MoE, 42B active), which ranks among the strongest open-weight models for agentic and coding work at a low per-token price.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fxiaomi-mimo.svg",{"slug":56,"display_name":57,"description":58},{"category_id":108,"name":109,"slug":110},{"subcategory_id":112,"name":113,"slug":114},[],[],[],{},"MiMo and MiniMax are both recent open-weight MoE families topping open-source agentic leaderboards; usually evaluated head-to-head when selecting an open model.",{"relationship_type":96,"relationship_display_name":97,"relationship_description":98,"relationship_display_order":99,"tool":196,"strength":72,"notes":212},{"tool_id":197,"name":198,"slug":199,"tooltip_description":200,"logo_url":201,"logo_bg":84,"pricing_model":202,"learning_curve_score":93,"popularity_score":59,"hosting_assignment_type":35,"hosting_provider_restriction":61,"hosting_target_restriction":61,"hosting_compatible_tool_ids":35,"parent_tool_id":35,"category":206,"subcategory":207,"categories":208,"subcategories":209,"flexibility_score":59,"performance_score":72,"portability_score":59,"is_featured":73,"tags":210,"score_reasonings":211,"published_date":35,"last_updated_date":35},154,"Meta Llama","meta-llama","Meta's open-weight LLM family, from compact 1B edge models to the Llama 4 mixture-of-experts models Scout and Maverick; download the weights and self-host, or call them through dozens of managed API providers.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fmeta-llama.svg",{"slug":203,"display_name":204,"description":205},"open_source","Open Source","Source code is publicly available and free to use, modify, and distribute. No paid plans from the project itself.",{"category_id":108,"name":109,"slug":110},{"subcategory_id":112,"name":113,"slug":114},[],[],[],{},"Llama has the broadest ecosystem, from 1B edge models to Llama 4 MoE; MiniMax M3 is a single large model with a 1M-token context and native multimodal input. Llama for tooling and size range, MiniMax for long-context agents.",{"relationship_type":96,"relationship_display_name":97,"relationship_description":98,"relationship_display_order":99,"tool":214,"strength":72,"notes":227},{"tool_id":215,"name":216,"slug":217,"tooltip_description":218,"logo_url":219,"logo_bg":84,"pricing_model":220,"learning_curve_score":86,"popularity_score":72,"hosting_assignment_type":35,"hosting_provider_restriction":61,"hosting_target_restriction":61,"hosting_compatible_tool_ids":35,"parent_tool_id":35,"category":221,"subcategory":222,"categories":223,"subcategories":224,"flexibility_score":59,"performance_score":72,"portability_score":59,"is_featured":73,"tags":225,"score_reasonings":226,"published_date":35,"last_updated_date":35},158,"Google Gemma","google-gemma","Google DeepMind's family of open-weight LLMs, from compact edge models to a 31B dense flagship and a 26B MoE, built for self-hosting, on-device use, and fine-tuning under Apache 2.0.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fgoogle-gemma.svg",{"slug":203,"display_name":204,"description":205},{"category_id":108,"name":109,"slug":110},{"subcategory_id":112,"name":113,"slug":114},[],[],[],{},"Gemma targets self-hosting and on-device use with models up to 31B; MiniMax M3 is a large model with a 1M-token context and native multimodal input. Gemma for small, efficient deployments, MiniMax for long-context agentic work.",{"tool_id":229,"name":230,"slug":231,"tooltip_description":232,"logo_url":233,"logo_bg":84,"pricing_model":234,"learning_curve_score":93,"popularity_score":93,"hosting_assignment_type":35,"hosting_provider_restriction":61,"hosting_target_restriction":61,"hosting_compatible_tool_ids":35,"parent_tool_id":35,"category":235,"subcategory":236,"categories":237,"subcategories":239,"flexibility_score":72,"performance_score":59,"portability_score":72,"is_featured":73,"tags":241,"score_reasonings":260,"published_date":266,"last_updated_date":35,"vendor":267,"website_url":270,"documentation_url":271,"github_url":35,"long_description":272,"tagline":273,"key_features":274,"pros":282,"cons":288,"social_links":293,"screenshots_urls":294,"pricing_tiers":295,"license_type":35,"community_size":35,"active_maintenance":3,"parent_tool":35},212,"MiniMax","minimax","MiniMax is a Chinese AI lab whose M3 open-weight model offers a 1M-token context, native multimodal input, and strong agentic coding, available as self-hosted weights, a low-cost API, and a Token Plan subscription.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fminimax.svg",{"slug":56,"display_name":57,"description":58},{"category_id":108,"name":109,"slug":110},{"subcategory_id":112,"name":113,"slug":114},[238],{"category_id":108,"name":109,"slug":110,"is_primary":3,"display_order":7},[240],{"subcategory_id":112,"name":113,"slug":114,"category_id":108,"is_primary":3,"display_order":7},[242,247,251,255],{"tag_id":243,"name":244,"slug":245,"tag_type":246},12,"Self-hostable","self-hostable","feature",{"tag_id":248,"name":249,"slug":250,"tag_type":246},13,"Free Tier","free-tier",{"tag_id":252,"name":253,"slug":254,"tag_type":246},16,"AI-powered","ai-powered",{"tag_id":256,"name":257,"slug":258,"tag_type":259},40,"Web","web","platform",{"learning_curve":261,"flexibility":262,"performance":263,"popularity":264,"portability":265},"Using the hosted API is as simple as any OpenAI-compatible endpoint, while self-hosting via vLLM\u002FSGLang or GGUF quantization requires the same infrastructure familiarity as any other large open-weight model.","Deployable via a hosted API, self-hosted through vLLM\u002FSGLang, or run locally through GGUF quantizations on llama.cpp\u002FOllama\u002FLM Studio, with native multimodal input across text, image, audio, and video.","Leads the August 2026 open-weight intelligence-index ranking and scores 69.4% on SWE-Bench Verified for the M2 line, on par with proprietary frontier models on coding tasks specifically.","A fast-iterating model line (M2 through M3 within 2026) with growing recognition, but still behind the Western developer mindshare of more established open-weight labs like DeepSeek and Qwen.","Self-hostable via vLLM\u002FSGLang and widely available as GGUF quantizations, though the custom minimax-community license is a real consideration for portability compared to a fully permissive MIT\u002FApache license.","2026-09-27",{"vendor_id":268,"name":230,"slug":269,"website_url":270,"logo_url":233,"logo_bg":84},170,"minimax-ai","https:\u002F\u002Fwww.minimax.io","https:\u002F\u002Fhuggingface.co\u002FMiniMaxAI\u002FMiniMax-M3","**MiniMax** is a Shanghai-based AI company that builds language, speech, video, and music models. Its M-series language models are released with open weights, and the current flagship is **MiniMax-M3**, a mixture-of-experts model with about 428 billion total and 23 billion active parameters, a one-million-token context window, and native multimodal input covering images, video, and computer-use agent tasks.\n\nM3's main technical feature is **MiniMax Sparse Attention** (MSA), which makes long contexts much cheaper to process than the previous generation, with large speedups in both prefill and decoding at full context. MiniMax reports strong agentic and coding benchmark results, and the model is widely used in coding agents and long-document workloads.\n\nThe weights are published on Hugging Face under MiniMax's own **community licence** rather than MIT or Apache 2.0, so commercial users should read its terms. Self-hosting is well supported: official vLLM and SGLang recipes, Hugging Face Transformers compatibility, and community GGUF quantisations for llama.cpp, Ollama, and LM Studio, though the full model needs a multi-GPU server.\n\nThe hosted API is OpenAI-compatible and priced per million tokens, with a permanent discount off list price, higher rates for very long prompts, cheap cache reads, and an optional priority tier for faster admission. For coding agents, MiniMax sells the **Token Plan**, a monthly subscription with five-hour and weekly quotas that works in Claude Code, Codex, Cursor, and other tools. MiniMax also offers separate speech, video (Hailuo), and music products.","Intelligence with everyone.",[275,276,277,278,279,280,281],"MiniMax-M3: ~428B total \u002F ~23B active parameter MoE","1M-token context with MiniMax Sparse Attention","Native multimodal input, including computer-use agent tasks","Open weights under the minimax-community licence","Self-hosting via vLLM, SGLang, Transformers, and GGUF quantisations","OpenAI-compatible API with cache reads and a priority tier","Token Plan subscription for Claude Code, Codex, and Cursor",[283,284,285,286,287],"Frontier-level open-weight model with very long context","Well-supported self-hosting with official vLLM and SGLang recipes","Low API prices compared with proprietary frontier models","Native multimodal input without a separate vision model","Flat-rate Token Plan for coding agents",[289,290,291,292],"Custom community licence, not MIT or Apache 2.0","Self-hosting the full model needs substantial GPU hardware","Smaller Western developer mindshare than DeepSeek or Qwen","Headline benchmarks mix vendor-reported and third-party figures",{},[],[296,298,300,302,304],{"tier_name":6,"price":7,"billing_period":8,"features":297},[10,11,12],{"tier_name":14,"price":15,"billing_period":16,"features":299},[18,19,20],{"tier_name":22,"price":23,"billing_period":16,"features":301},[25,26],{"tier_name":28,"price":29,"billing_period":16,"features":303},[31,32],{"tier_name":34,"price":35,"billing_period":36,"features":305},[38,39,40,41],[],[308],{"stack_id":309,"name":310,"slug":311,"description":312,"experience_level":313,"project_type":35,"stack_type":314,"canvas_display_order":35,"is_displayed_on_canvas":73,"tool_detail_page_order":319,"stack_data":320,"resolved_tools":325,"options":405,"additions":608,"option_groups":1191,"multi_select_option_types":1192},232,"OpenCode Dev Stack","opencode-dev-stack","OpenCode as the coding agent, in the terminal, the desktop app, an IDE extension, or the browser, running open-weight models such as DeepSeek, GLM, and Kimi, with your pick of GitHub or GitLab for version control.","advanced",{"stack_type_id":93,"slug":315,"name":316,"description":317,"icon_url":318},"developer","Developer Stack","A developer's personal workflow toolkit — IDEs, AI coding assistants, version control, and productivity tools used while building projects.","https:\u002F\u002Fassets.tekyous.dev\u002Ficons\u002Fstack-types\u002Fdeveloper.svg",165,{"LLM":321,"Development Tools":322},[122],[323,324],192,151,{"LLM":326,"Development Tools":347},[327],{"tool_id":122,"name":123,"slug":124,"tooltip_description":125,"logo_url":126,"logo_bg":84,"pricing_model":328,"learning_curve_score":93,"popularity_score":59,"hosting_assignment_type":35,"hosting_provider_restriction":61,"hosting_target_restriction":61,"hosting_compatible_tool_ids":35,"parent_tool_id":35,"category":329,"subcategory":330,"categories":331,"subcategories":333,"flexibility_score":59,"performance_score":59,"portability_score":59,"is_featured":73,"tags":335,"score_reasonings":340,"published_date":346,"last_updated_date":266},{"slug":56,"display_name":57,"description":58},{"category_id":108,"name":109,"slug":110},{"subcategory_id":112,"name":113,"slug":114},[332],{"category_id":108,"name":109,"slug":110,"is_primary":3,"display_order":7},[334],{"subcategory_id":112,"name":113,"slug":114,"category_id":108,"is_primary":3,"display_order":7},[336,338,339],{"tag_id":63,"name":204,"slug":337,"tag_type":246},"open-source",{"tag_id":243,"name":244,"slug":245,"tag_type":246},{"tag_id":256,"name":257,"slug":258,"tag_type":259},{"learning_curve":341,"popularity":342,"portability":343,"flexibility":344,"performance":345},"The DeepSeek API (OpenAI-compatible) is trivial to call for developers already using OpenAI. Running distilled models via Ollama is also beginner-friendly. The steep part is self-hosting the full 671B V3\u002FR1 models — that requires multi-GPU infrastructure, tensor parallelism configuration in vLLM, and knowledge of quantisation trade-offs.","One of the fastest open-source repository growth stories in GitHub history. DeepSeek-R1 reached ~92K stars within weeks; total deepseek-ai org stars exceeded 170K by end of 2025. Massive developer adoption, significant industry impact, and strong Hugging Face download counts.","MIT license, Hugging Face weights, Ollama\u002FvLLM\u002FLM Studio support, and availability on Amazon Bedrock, Fireworks, Together AI, and OpenRouter. No lock-in whatsoever.","Open MIT weights with no use restrictions, publishable on any infrastructure, fine-tuneable with standard tools, and accessible via multiple APIs (direct, Bedrock, Together AI, Fireworks). Maximum possible flexibility for an LLM.","DeepSeek-V3 and R1 match or exceed GPT-4o on coding (HumanEval, SWE-bench), math (AIME, MATH-500), and reasoning benchmarks. R1 matches OpenAI o1. V4-Pro (2026) rivals the world's top closed models. 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Some advanced governance features are gated behind paid tiers.","Generally reliable with 99.9% SLA for Enterprise, but the platform experienced capacity-related reliability incidents in 2025–2026 driven by AI agent traffic, pulling uptime below target.","Dominant market leader with ~70% SCM market share, 180M+ registered developers, 92% adoption among Fortune 100 companies. Effectively the industry default.","High vendor lock-in: GitHub Actions workflows, Projects, Packages, and Advanced Security are proprietary. Migrating a Git repo is easy; migrating the full workflow is not.",{"database":406,"orm":410,"authentication":414,"analytics":418,"coding_agent":422,"llm":426,"language":542,"frontend_framework":546,"cms":550,"hosting":554,"reverse_proxy":558,"self_hosted_paas":562,"version_control":566},{"tools":407,"descriptions":408,"aliases":409,"see_all":35},[],{},{},{"tools":411,"descriptions":412,"aliases":413,"see_all":35},[],{},{},{"tools":415,"descriptions":416,"aliases":417,"see_all":35},[],{},{},{"tools":419,"descriptions":420,"aliases":421,"see_all":35},[],{},{},{"tools":423,"descriptions":424,"aliases":425,"see_all":35},[],{},{},{"tools":427,"descriptions":531,"aliases":538,"see_all":539},[428,441,459,476,490,513],{"tool_id":122,"name":123,"slug":124,"tooltip_description":125,"logo_url":126,"logo_bg":84,"pricing_model":429,"learning_curve_score":93,"popularity_score":59,"hosting_assignment_type":35,"hosting_provider_restriction":61,"hosting_target_restriction":61,"hosting_compatible_tool_ids":35,"parent_tool_id":35,"category":430,"subcategory":431,"categories":432,"subcategories":434,"flexibility_score":59,"performance_score":59,"portability_score":59,"is_featured":73,"tags":436,"score_reasonings":440,"published_date":346,"last_updated_date":266},{"slug":56,"display_name":57,"description":58},{"category_id":108,"name":109,"slug":110},{"subcategory_id":112,"name":113,"slug":114},[433],{"category_id":108,"name":109,"slug":110,"is_primary":3,"display_order":7},[435],{"subcategory_id":112,"name":113,"slug":114,"category_id":108,"is_primary":3,"display_order":7},[437,438,439],{"tag_id":63,"name":204,"slug":337,"tag_type":246},{"tag_id":243,"name":244,"slug":245,"tag_type":246},{"tag_id":256,"name":257,"slug":258,"tag_type":259},{"learning_curve":341,"popularity":342,"portability":343,"flexibility":344,"performance":345},{"tool_id":101,"name":102,"slug":103,"tooltip_description":104,"logo_url":105,"logo_bg":84,"pricing_model":442,"learning_curve_score":93,"popularity_score":93,"hosting_assignment_type":35,"hosting_provider_restriction":61,"hosting_target_restriction":61,"hosting_compatible_tool_ids":35,"parent_tool_id":35,"category":443,"subcategory":444,"categories":445,"subcategories":447,"flexibility_score":72,"performance_score":72,"portability_score":72,"is_featured":73,"tags":449,"score_reasonings":453,"published_date":346,"last_updated_date":266},{"slug":56,"display_name":57,"description":58},{"category_id":108,"name":109,"slug":110},{"subcategory_id":112,"name":113,"slug":114},[446],{"category_id":108,"name":109,"slug":110,"is_primary":3,"display_order":7},[448],{"subcategory_id":112,"name":113,"slug":114,"category_id":108,"is_primary":3,"display_order":7},[450,451,452],{"tag_id":63,"name":204,"slug":337,"tag_type":246},{"tag_id":243,"name":244,"slug":245,"tag_type":246},{"tag_id":256,"name":257,"slug":258,"tag_type":259},{"learning_curve":454,"flexibility":455,"performance":456,"popularity":457,"portability":458},"The OpenAI-compatible API at open.bigmodel.cn is easy to adopt for any developer familiar with OpenAI. Ollama support (`ollama run glm-4.7`) makes local inference a one-command setup. The difficulty is in navigating the sprawling model family — GLM-4, GLM-4.5, GLM-4.6, GLM-4.7, GLM-Z1, GLM-5 — and the fact that much documentation is in Chinese first.","Apache 2.0 open weights for all major variants, multiple size options (9B to 32B self-hosted; up to 744B via API), reasoning-specialist (Z1), vision (GLM-4V), and all-tools variants, plus the managed API. Solid flexibility, though fewer self-hostable sizes above 32B and less third-party cloud availability than DeepSeek or Qwen.","GLM-4 All Tools benchmarks favourably against GPT-4 All Tools; GLM-Z1 reasoning models are strong at 32B; GLM-5.1 reportedly matched GPT-5.4 on coding benchmarks. However, independent Western benchmark coverage is sparser than for DeepSeek or Qwen, and the largest frontier models are proprietary.","ChatGLM-6B repo has 41k+ GitHub stars, making it one of the most-starred Chinese LLM repos. However, globally GLM has lower mindshare than DeepSeek (92k+ stars on R1) or Qwen. Dominant within the Chinese developer community; growing but limited international adoption.","Apache 2.0 weights on Hugging Face under zai-org\u002F, supported by Ollama, vLLM, SGLang, GGUF\u002Fllama.cpp — solid portability for the open-weight sizes. However, no major Western managed cloud (Bedrock, Azure) support as of mid-2026, and the frontier models are API-only with China-hosted infrastructure.",{"tool_id":167,"name":168,"slug":169,"tooltip_description":170,"logo_url":171,"logo_bg":54,"pricing_model":460,"learning_curve_score":86,"popularity_score":93,"hosting_assignment_type":35,"hosting_provider_restriction":61,"hosting_target_restriction":61,"hosting_compatible_tool_ids":35,"parent_tool_id":35,"category":461,"subcategory":462,"categories":463,"subcategories":465,"flexibility_score":72,"performance_score":59,"portability_score":72,"is_featured":73,"tags":467,"score_reasonings":470,"published_date":346,"last_updated_date":266},{"slug":56,"display_name":57,"description":58},{"category_id":108,"name":109,"slug":110},{"subcategory_id":112,"name":113,"slug":114},[464],{"category_id":108,"name":109,"slug":110,"is_primary":3,"display_order":7},[466],{"subcategory_id":112,"name":113,"slug":114,"category_id":108,"is_primary":3,"display_order":7},[468,469],{"tag_id":63,"name":204,"slug":337,"tag_type":246},{"tag_id":256,"name":257,"slug":258,"tag_type":259},{"performance":471,"learning_curve":472,"flexibility":473,"popularity":474,"portability":475},"Kimi K2 and K2.6 are top-tier on SWE-bench Verified and agentic coding benchmarks — competitive with GPT-4o and Claude Sonnet. K1.5 matched o1 on math at launch. 256K context is a standout for long-document tasks.","The Moonshot AI API is fully OpenAI-compatible — developers already familiar with the OpenAI SDK can switch by changing the base URL and API key. Open-weight models follow standard Hugging Face download patterns. The main friction is English documentation lagging behind Chinese-language resources.","Open-weight releases (K2, K2.5, K2.6, Kimi-VL) allow full self-hosting and customization. The managed API covers chat, vision, and tool use. No fine-tuning on the managed API limits flexibility there, but the open weights compensate. Multiple access paths (API, chat, CLI, Hugging Face).","Very popular in China with a large consumer user base on kimi.ai. Growing international profile — K2 repo reached 10.7k GitHub stars rapidly, and the Kimi K2 family is among the most downloaded on Hugging Face. Still behind Llama and GPT-series internationally.","Open-weight models are fully portable — download from Hugging Face, run on any compatible GPU infrastructure. The API uses OpenAI-compatible schema, reducing switching costs. Larger models (1T parameters) require significant hardware to self-host at full capacity.",{"tool_id":229,"name":230,"slug":231,"tooltip_description":232,"logo_url":233,"logo_bg":84,"pricing_model":477,"learning_curve_score":93,"popularity_score":93,"hosting_assignment_type":35,"hosting_provider_restriction":61,"hosting_target_restriction":61,"hosting_compatible_tool_ids":35,"parent_tool_id":35,"category":478,"subcategory":479,"categories":480,"subcategories":482,"flexibility_score":72,"performance_score":59,"portability_score":72,"is_featured":73,"tags":484,"score_reasonings":489,"published_date":266,"last_updated_date":35},{"slug":56,"display_name":57,"description":58},{"category_id":108,"name":109,"slug":110},{"subcategory_id":112,"name":113,"slug":114},[481],{"category_id":108,"name":109,"slug":110,"is_primary":3,"display_order":7},[483],{"subcategory_id":112,"name":113,"slug":114,"category_id":108,"is_primary":3,"display_order":7},[485,486,487,488],{"tag_id":243,"name":244,"slug":245,"tag_type":246},{"tag_id":248,"name":249,"slug":250,"tag_type":246},{"tag_id":252,"name":253,"slug":254,"tag_type":246},{"tag_id":256,"name":257,"slug":258,"tag_type":259},{"learning_curve":261,"flexibility":262,"performance":263,"popularity":264,"portability":265},{"tool_id":182,"name":183,"slug":184,"tooltip_description":185,"logo_url":186,"logo_bg":84,"pricing_model":491,"learning_curve_score":93,"popularity_score":93,"hosting_assignment_type":35,"hosting_provider_restriction":61,"hosting_target_restriction":61,"hosting_compatible_tool_ids":35,"parent_tool_id":35,"category":492,"subcategory":493,"categories":494,"subcategories":496,"flexibility_score":59,"performance_score":59,"portability_score":59,"is_featured":73,"tags":498,"score_reasonings":507,"published_date":266,"last_updated_date":35},{"slug":56,"display_name":57,"description":58},{"category_id":108,"name":109,"slug":110},{"subcategory_id":112,"name":113,"slug":114},[495],{"category_id":108,"name":109,"slug":110,"is_primary":3,"display_order":7},[497],{"subcategory_id":112,"name":113,"slug":114,"category_id":108,"is_primary":3,"display_order":7},[499,500,501,502,503],{"tag_id":63,"name":204,"slug":337,"tag_type":246},{"tag_id":243,"name":244,"slug":245,"tag_type":246},{"tag_id":248,"name":249,"slug":250,"tag_type":246},{"tag_id":252,"name":253,"slug":254,"tag_type":246},{"tag_id":504,"name":505,"slug":506,"tag_type":396},25,"Machine Learning","machine-learning",{"learning_curve":508,"flexibility":509,"performance":510,"popularity":511,"portability":512},"The OpenAI-compatible API is a trivial base-URL swap and GGUF quantizations run on modest hardware, but self-hosting the full MoE model well requires multi-GPU serving and vLLM\u002FSGLang experience.","Open weights under MIT can be fine-tuned, quantized, and served on any stack, with base and instruct variants covering reasoning, speed, and speech recognition.","Ranks among the strongest open-source models on agentic and coding benchmarks and completes comparable tasks with notably fewer tokens than frontier proprietary models.","The benchmark standing draws real attention, but as Xiaomi's first entry into the open-weight LLM race it has less developer mindshare and third-party adoption than DeepSeek, Qwen, or Moonshot.","MIT-licensed Hugging Face weights with vLLM, SGLang, Transformers, and GGUF support mean it runs anywhere with no vendor lock-in.",{"tool_id":137,"name":138,"slug":139,"tooltip_description":140,"logo_url":141,"logo_bg":84,"pricing_model":514,"learning_curve_score":86,"popularity_score":72,"hosting_assignment_type":35,"hosting_provider_restriction":61,"hosting_target_restriction":61,"hosting_compatible_tool_ids":35,"parent_tool_id":35,"category":515,"subcategory":516,"categories":517,"subcategories":519,"flexibility_score":59,"performance_score":59,"portability_score":59,"is_featured":73,"tags":521,"score_reasonings":525,"published_date":346,"last_updated_date":266},{"slug":56,"display_name":57,"description":58},{"category_id":108,"name":109,"slug":110},{"subcategory_id":112,"name":113,"slug":114},[518],{"category_id":108,"name":109,"slug":110,"is_primary":3,"display_order":7},[520],{"subcategory_id":112,"name":113,"slug":114,"category_id":108,"is_primary":3,"display_order":7},[522,523,524],{"tag_id":63,"name":204,"slug":337,"tag_type":246},{"tag_id":256,"name":257,"slug":258,"tag_type":259},{"tag_id":243,"name":244,"slug":245,"tag_type":246},{"learning_curve":526,"flexibility":527,"performance":528,"popularity":529,"portability":530},"Open weights + OpenAI-compatible API means onboarding is straightforward for any developer familiar with the OpenAI SDK. Ollama makes local inference a one-command setup. Navigating the large model family and choosing the right variant adds some complexity, but the barrier is low overall.","Apache 2.0 licence, sizes from 0.6B to 480B+, dense and MoE architectures, specialised coding and vision variants, toggleable reasoning mode, and multiple access paths (self-hosted, DashScope, third-party APIs). Maximum flexibility for any use case.","Qwen3-Coder ranks among the very best open-weight coding models; Qwen3 MoE variants compete with GPT-4-class models on benchmarks; QwQ-32B rivals leading reasoning specialists; Qwen-VL leads vision-language open-weight benchmarks. Across all domains, Qwen is at or near the open-weight frontier.","Qwen3 repo has ~27K GitHub stars; Qwen3-Coder ~16K; QwenLM org collectively has tens of thousands of stars across repositories. Dominant in Chinese AI ecosystem and rapidly growing global adoption. Strong presence on Hugging Face, Ollama library, and all major inference providers.","Apache 2.0 weights on Hugging Face run on Ollama, vLLM, llama.cpp, LM Studio, and MLX with no licence restrictions. Same models available via DashScope and third-party APIs. Maximum portability — switch providers or go self-hosted any time.",{"deepseek":532,"glm":533,"kimi":534,"minimax":535,"xiaomi-mimo":536,"qwen":537},"DeepSeek is the default here: V4.1-Flash is among the cheapest capable coding models, about $0.15 per million input tokens off-peak on DeepSeek's own API, with a 1M-token context. OpenCode connects to DeepSeek directly, and the model is also part of OpenCode Go, Zen, and OpenRouter.","Z.ai's GLM models are the usual flat-rate pick: OpenCode signs in to the GLM Coding Plan, from $18 a month, as well as the pay-per-token API, where GLM-5.3-Flash costs $0.15 per million input tokens. GLM-5.3 is the larger flagship with a 1M-token context, and both are in OpenCode Go.","Moonshot's Kimi models are built for agentic coding: K2.7-Code at $0.95 in and $4 out per million tokens for everyday work, and K3 at $3 and $15 for the hardest tasks. OpenCode connects to Moonshot's API directly, and Kimi is also available through OpenCode Go and OpenRouter.","MiniMax-M3 pairs a 1M-token context and multimodal input with low per-token prices, plus a Token Plan subscription from $22 a month that works across coding agents. OpenCode lists MiniMax as a built-in provider, and M3 is also part of OpenCode Go and Zen.","Xiaomi's MIT-licensed MiMo-V2.6 models do well on agentic coding for very little: $0.435 in and $0.87 out per million tokens for Pro, $0.14 and $0.28 for Flash. In OpenCode they're easiest to reach through OpenCode Go or Zen, or OpenRouter.","Alibaba's Qwen family runs from cheap Flash and Plus tiers to the Qwen3.8-Max flagship at $2 in and $6 out per million tokens, and most releases are Apache 2.0 open weights, the easiest of these to serve locally with Ollama. OpenCode reaches it through OpenCode Go or Zen, OpenRouter, or a local server.",{},{"kind":540,"slug":110,"name":109,"href":541},"category","\u002Ftools\u002Fcategories\u002Fllm",{"tools":543,"descriptions":544,"aliases":545,"see_all":35},[],{},{},{"tools":547,"descriptions":548,"aliases":549,"see_all":35},[],{},{},{"tools":551,"descriptions":552,"aliases":553,"see_all":35},[],{},{},{"tools":555,"descriptions":556,"aliases":557,"see_all":35},[],{},{},{"tools":559,"descriptions":560,"aliases":561,"see_all":35},[],{},{},{"tools":563,"descriptions":564,"aliases":565,"see_all":35},[],{},{},{"tools":567,"descriptions":604,"aliases":607,"see_all":35},[568,581],{"tool_id":324,"name":377,"slug":378,"tooltip_description":379,"logo_url":380,"logo_bg":54,"pricing_model":569,"learning_curve_score":93,"popularity_score":59,"hosting_assignment_type":35,"hosting_provider_restriction":61,"hosting_target_restriction":61,"hosting_compatible_tool_ids":35,"parent_tool_id":35,"category":570,"subcategory":571,"categories":572,"subcategories":574,"flexibility_score":72,"performance_score":93,"portability_score":86,"is_featured":73,"tags":576,"score_reasonings":580,"published_date":346,"last_updated_date":266},{"slug":56,"display_name":57,"description":58},{"category_id":355,"name":356,"slug":357},{"subcategory_id":384,"name":385,"slug":386},[573],{"category_id":355,"name":356,"slug":357,"is_primary":3,"display_order":7},[575],{"subcategory_id":384,"name":385,"slug":386,"category_id":355,"is_primary":3,"display_order":7},[577,578,579],{"tag_id":393,"name":394,"slug":395,"tag_type":396},{"tag_id":248,"name":249,"slug":250,"tag_type":246},{"tag_id":256,"name":257,"slug":258,"tag_type":259},{"learning_curve":400,"flexibility":401,"performance":402,"popularity":403,"portability":404},{"tool_id":582,"name":583,"slug":584,"tooltip_description":585,"logo_url":586,"logo_bg":54,"pricing_model":587,"learning_curve_score":86,"popularity_score":72,"hosting_assignment_type":35,"hosting_provider_restriction":61,"hosting_target_restriction":61,"hosting_compatible_tool_ids":35,"parent_tool_id":35,"category":588,"subcategory":589,"categories":590,"subcategories":592,"flexibility_score":59,"performance_score":93,"portability_score":59,"is_featured":73,"tags":594,"score_reasonings":598,"published_date":346,"last_updated_date":266},152,"GitLab","gitlab","An open-source, all-in-one DevSecOps platform offering Git hosting, code review, issue tracking, and built-in CI\u002FCD — available as a SaaS service or fully self-hosted.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fgitlab.svg",{"slug":56,"display_name":57,"description":58},{"category_id":355,"name":356,"slug":357},{"subcategory_id":384,"name":385,"slug":386},[591],{"category_id":355,"name":356,"slug":357,"is_primary":3,"display_order":7},[593],{"subcategory_id":384,"name":385,"slug":386,"category_id":355,"is_primary":3,"display_order":7},[595,596,597],{"tag_id":248,"name":249,"slug":250,"tag_type":246},{"tag_id":243,"name":244,"slug":245,"tag_type":246},{"tag_id":256,"name":257,"slug":258,"tag_type":259},{"learning_curve":599,"flexibility":600,"performance":601,"popularity":602,"portability":603},"Feature breadth is GitLab's biggest onboarding challenge — new users face pipelines, boards, security dashboards, and compliance tools all at once. Rated steep.","Highly flexible: customisable CI\u002FCD pipelines, branch protection, merge request approvals, REST\u002FGraphQL APIs, and full self-hosting. One of the most configurable platforms in its class.","Cloud performance is solid but not best-in-class; complex pipelines and large self-hosted deployments can lag. Rated average for its category.","16% SCM market share — firmly the second-largest platform globally, Gartner Magic Quadrant leader for DevOps, but well behind GitHub's ~70% dominance.","Open-source MIT licence with fully self-hostable CE and FOSS mirror. No vendor lock-in — highest portability score in its category.",{"github":605,"gitlab":606},"GitHub is the default here: the largest pull-request ecosystem, and the home of OpenCode's own GitHub integration, which runs the agent in GitHub Actions when someone mentions it on an issue or pull request.","GitLab bundles source control, merge requests, and CI\u002FCD in one self-hostable platform, the pick when code has to stay on your own infrastructure. OpenCode only needs git for local work, so everyday sessions are the same on either host.",{},{"server":609,"remote_access":739,"session_persistence":772,"terminal":827,"code_review":950,"model_aggregator":1030,"ci_cd":1089,"containerization":1156},{"tools":610,"descriptions":730,"aliases":735,"preface":736,"see_all":737},[611,643,684,706],{"tool_id":112,"name":612,"slug":613,"tooltip_description":614,"logo_url":615,"logo_bg":54,"pricing_model":616,"learning_curve_score":86,"popularity_score":93,"hosting_assignment_type":35,"hosting_provider_restriction":61,"hosting_target_restriction":61,"hosting_compatible_tool_ids":35,"parent_tool_id":35,"category":620,"subcategory":623,"categories":627,"subcategories":629,"flexibility_score":93,"performance_score":72,"portability_score":72,"is_featured":73,"tags":631,"score_reasonings":637,"published_date":346,"last_updated_date":266},"Hetzner","hetzner","German cloud and dedicated server provider offering VPS, bare-metal servers, and storage at prices far below the big clouds, with data centers in the EU, the US, and Singapore.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fhetzner.svg",{"slug":617,"display_name":618,"description":619},"paid","Paid","No meaningful free tier — a subscription or one-time purchase is required to use the tool.",{"category_id":59,"name":621,"slug":622},"Hosting & Cloud","hosting-cloud",{"subcategory_id":624,"name":625,"slug":626},42,"VPS & Servers","vps-and-servers",[628],{"category_id":59,"name":621,"slug":622,"is_primary":3,"display_order":7},[630],{"subcategory_id":624,"name":625,"slug":626,"category_id":59,"is_primary":3,"display_order":7},[632,633],{"tag_id":243,"name":244,"slug":245,"tag_type":246},{"tag_id":634,"name":635,"slug":636,"tag_type":246},21,"Multi-region","multi-region",{"learning_curve":638,"flexibility":639,"performance":640,"portability":641,"popularity":642},"Standard VPS setup; any developer comfortable with Linux can deploy in an afternoon.","Standard VPS; configure anything on Linux; no managed abstraction layer constraining choices.","Competitive hardware at low cost; dedicated and VPS servers deliver strong baseline performance.","Standard Linux VPS; highly portable with no managed-service abstraction to escape.","Popular among European developers and cost-conscious teams; strong reputation for value.",{"tool_id":644,"name":645,"slug":646,"tooltip_description":647,"logo_url":648,"logo_bg":54,"pricing_model":649,"learning_curve_score":86,"popularity_score":72,"hosting_assignment_type":35,"hosting_provider_restriction":61,"hosting_target_restriction":61,"hosting_compatible_tool_ids":35,"parent_tool_id":35,"category":653,"subcategory":654,"categories":658,"subcategories":660,"flexibility_score":72,"performance_score":72,"portability_score":72,"is_featured":73,"tags":662,"score_reasonings":678,"published_date":346,"last_updated_date":266},166,"DigitalOcean","digitalocean","Developer-focused cloud platform offering VPS (Droplets), managed Kubernetes, App Platform PaaS, and managed databases. Known for simple pricing and excellent documentation.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fdigitalocean.svg",{"slug":650,"display_name":651,"description":652},"usage_based","Usage-Based","Pricing scales with consumption: API calls, data volume, compute time, or similar metered units.",{"category_id":59,"name":621,"slug":622},{"subcategory_id":655,"name":656,"slug":657},41,"App Hosting","app-hosting",[659],{"category_id":59,"name":621,"slug":622,"is_primary":3,"display_order":7},[661],{"subcategory_id":655,"name":656,"slug":657,"category_id":59,"is_primary":3,"display_order":7},[663,664,665,669,670,674],{"tag_id":256,"name":257,"slug":258,"tag_type":259},{"tag_id":248,"name":249,"slug":250,"tag_type":246},{"tag_id":666,"name":667,"slug":668,"tag_type":246},20,"Auto-scaling","auto-scaling",{"tag_id":634,"name":635,"slug":636,"tag_type":246},{"tag_id":671,"name":672,"slug":673,"tag_type":246},24,"Docker Compatible","docker-compatible",{"tag_id":675,"name":676,"slug":677,"tag_type":396},28,"Web Development","web-development",{"learning_curve":679,"flexibility":680,"performance":681,"popularity":682,"portability":683},"DigitalOcean is specifically designed for developers rather than enterprise ops teams. The control panel is clean, Droplets launch in under 60 seconds, and App Platform requires no infrastructure knowledge at all. Thousands of community tutorials lower the barrier for beginners.","Offers VPS, PaaS, and managed Kubernetes under one roof, covering most deployment patterns from simple static sites to complex microservices. Custom networking, firewalls, VPC peering, and a full API give teams significant control. Missing serverless functions and some niche managed services limit the ceiling slightly.","NVMe SSDs and dedicated vCPU Droplets deliver competitive single-tenant performance. The 99.99% uptime SLA holds in practice per benchmark studies. Lacks the global edge network density of Cloudflare or the ultra-low-latency primitives of AWS.","Consistently ranks in the top 5 cloud providers for developer and startup usage. Strong presence on StackOverflow, Reddit, and developer surveys. Over 600,000 active customers as of 2024. Widely used as a first production cloud by self-taught developers.","Standard Linux VMs and Docker\u002FKubernetes workloads migrate freely to any other cloud or bare metal. No proprietary runtime lock-in. Spaces is S3-compatible. App Platform lock-in is higher — migrating away requires containerizing or adapting the build pipeline.",{"tool_id":685,"name":686,"slug":687,"tooltip_description":688,"logo_url":689,"logo_bg":54,"pricing_model":690,"learning_curve_score":86,"popularity_score":93,"hosting_assignment_type":35,"hosting_provider_restriction":61,"hosting_target_restriction":61,"hosting_compatible_tool_ids":35,"parent_tool_id":35,"category":691,"subcategory":692,"categories":693,"subcategories":695,"flexibility_score":93,"performance_score":93,"portability_score":93,"is_featured":73,"tags":697,"score_reasonings":700,"published_date":346,"last_updated_date":266},169,"Hostinger","hostinger","Affordable web hosting with shared, cloud, and agency plans plus KVM VPS, on LiteSpeed servers with NVMe storage and the beginner-friendly hPanel control panel.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fhostinger.svg",{"slug":617,"display_name":618,"description":619},{"category_id":59,"name":621,"slug":622},{"subcategory_id":624,"name":625,"slug":626},[694],{"category_id":59,"name":621,"slug":622,"is_primary":3,"display_order":7},[696],{"subcategory_id":624,"name":625,"slug":626,"category_id":59,"is_primary":3,"display_order":7},[698,699],{"tag_id":256,"name":257,"slug":258,"tag_type":259},{"tag_id":675,"name":676,"slug":677,"tag_type":396},{"learning_curve":701,"flexibility":702,"performance":703,"popularity":704,"portability":705},"Shared hosting on Hostinger is genuinely beginner-accessible — hPanel, one-click WordPress, and the Kodee AI assistant reduce the complexity of common tasks to a few clicks. VPS plans require Linux and SSH familiarity to get full value, but the guided setup and AI assistant lower the barrier compared to raw VPS providers like Hetzner.","Shared hosting is intentionally constrained — you run within Hostinger's stack and cannot change the server environment. VPS plans give full root access and can run any Linux workload. The range from shared to VPS covers most beginner-to-intermediate deployment needs, but there is no managed Kubernetes, serverless, or edge compute option.","LiteSpeed with NVMe SSD and built-in caching delivers strong performance for shared hosting — independent benchmarks show sub-1-second load times and 99.96%+ uptime on shared plans. KVM VPS performance is competitive for the price. Not at the level of dedicated cloud providers like DigitalOcean or Hetzner for compute-intensive workloads.","Hostinger is one of the top three most-recommended budget hosts globally, with over 3 million customers and a 4.7\u002F5 Trustpilot score. It dominates beginner and bootstrapper audiences and appears consistently in 'best cheap hosting' roundups. Less visible in developer-tool and startup-stack communities compared to cloud-native platforms.","Shared hosting creates moderate lock-in via hPanel and Hostinger-specific tooling, though WordPress sites can be migrated via standard exports. VPS instances are standard KVM Linux — fully portable to any other VPS provider. No proprietary runtime or framework dependencies on the VPS side.",{"tool_id":707,"name":708,"slug":709,"tooltip_description":710,"logo_url":711,"logo_bg":84,"pricing_model":712,"learning_curve_score":93,"popularity_score":59,"hosting_assignment_type":35,"hosting_provider_restriction":61,"hosting_target_restriction":61,"hosting_compatible_tool_ids":35,"parent_tool_id":35,"category":713,"subcategory":714,"categories":718,"subcategories":720,"flexibility_score":72,"performance_score":86,"portability_score":93,"is_featured":73,"tags":722,"score_reasonings":724,"published_date":266,"last_updated_date":35},211,"Raspberry Pi","raspberry-pi","The most popular single-board computer for lightweight self-hosting: a Raspberry Pi 5 runs Pi-hole, Home Assistant, WireGuard, and small local models around the clock for a few dollars a month in electricity, with no monthly hosting bill.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fraspberry-pi.svg",{"slug":617,"display_name":618,"description":619},{"category_id":59,"name":621,"slug":622},{"subcategory_id":715,"name":716,"slug":717},61,"Hardware","hardware",[719],{"category_id":59,"name":621,"slug":622,"is_primary":3,"display_order":7},[721],{"subcategory_id":715,"name":716,"slug":717,"category_id":59,"is_primary":3,"display_order":7},[723],{"tag_id":243,"name":244,"slug":245,"tag_type":246},{"learning_curve":725,"flexibility":726,"performance":727,"popularity":728,"portability":729},"Basic setup (flashing an OS image, connecting to a network) is well documented, but running production-quality self-hosted services still requires real Linux administration comfort compared to a managed platform.","Runs any Arm-compatible Docker container or Linux service, from DNS filtering to home automation to small local models, though x86-only software and heavier workloads are out of reach.","5-12 watts of power draw buys real but modest compute. Fine for lightweight always-on services, underpowered for VMs, 4K transcoding, or anything CPU-intensive.","The default, most-recognized single-board computer for home labs and self-hosting, with the largest community and guide ecosystem of any option in this category.","Fully owned physical hardware with no vendor lock-in, but Arm architecture and hardware constraints (RAM, storage, networking) limit what workloads can move onto it versus a general-purpose VPS.",{"hetzner":731,"digitalocean":732,"hostinger":733,"raspberry-pi":734},"Hetzner is the default here: its smallest shared plan, CX23, has 4 GB of RAM for about €5.49\u002Fmo, double the 2 GB DigitalOcean recommends for OpenCode, so language servers and test runs fit alongside it. A plain VPS billed by the hour up to a monthly cap.","DigitalOcean offers a 1-Click OpenCode Droplet with the agent preinstalled and wired to its own inference service for open models like DeepSeek and Qwen; it recommends 2 GB of RAM, $18\u002Fmo with 2 vCPUs. Its Managed Agents, in public preview, also run OpenCode in isolated microVMs billed per second.","Hostinger's KVM 1 has 4 GB of RAM at $6.49\u002Fmo introductory, renewing at $11.99\u002Fmo, well above what OpenCode needs since the models run at the provider. A budget pick on a plain Linux image; Hostinger's agent templates target other tools, not OpenCode.","A Raspberry Pi 5 is a one-time hardware cost instead of a monthly bill, and OpenCode ships ARM64 Linux builds. With the models served remotely, a 4 GB board is enough; 8 GB leaves room for builds and tests. It can also serve the web interface to your phone on the home network.",{},"Add a server when you want the agent to keep running somewhere other than your own laptop, reachable at any time and not tied to your machine staying on. Some agents also offer their own managed cloud sessions as an alternative to self-hosting; check the stack's own description for details.",{"kind":540,"slug":622,"name":621,"href":738},"\u002Ftools\u002Fcategories\u002Fhosting-cloud",{"tools":740,"descriptions":768,"aliases":770,"preface":771,"see_all":35},[741],{"tool_id":742,"name":743,"slug":744,"tooltip_description":745,"logo_url":746,"logo_bg":54,"pricing_model":747,"learning_curve_score":86,"popularity_score":72,"hosting_assignment_type":35,"hosting_provider_restriction":61,"hosting_target_restriction":61,"hosting_compatible_tool_ids":35,"parent_tool_id":35,"category":748,"subcategory":751,"categories":755,"subcategories":757,"flexibility_score":72,"performance_score":72,"portability_score":93,"is_featured":73,"tags":759,"score_reasonings":762,"published_date":266,"last_updated_date":35},275,"Tailscale","tailscale","Tailscale is a zero-config mesh VPN built on WireGuard that connects your devices and servers into one private network, reachable from anywhere without port forwarding.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Ftailscale.svg",{"slug":56,"display_name":57,"description":58},{"category_id":243,"name":749,"slug":750},"DevOps & CI\u002FCD","devops-cicd",{"subcategory_id":752,"name":753,"slug":754},70,"Tunneling & Secure Access","tunneling-secure-access",[756],{"category_id":243,"name":749,"slug":750,"is_primary":3,"display_order":7},[758],{"subcategory_id":752,"name":753,"slug":754,"category_id":243,"is_primary":3,"display_order":7},[760,761],{"tag_id":248,"name":249,"slug":250,"tag_type":246},{"tag_id":256,"name":257,"slug":258,"tag_type":259},{"learning_curve":763,"flexibility":764,"performance":765,"popularity":766,"portability":767},"Installing a client and authenticating via SSO puts a device on the tailnet in minutes, with MagicDNS and default ACLs handling the rest — no manual key exchange, port forwarding, or router configuration the way a raw WireGuard or OpenVPN setup requires.","Subnet routers, exit nodes, Tailscale SSH, ACL tags, and Funnel cover use cases well beyond simple point-to-point connectivity, and Headscale offers a fully self-hosted control-plane path for teams that want it.","Connections negotiate directly between peers over WireGuard whenever NAT traversal succeeds, falling back to DERP relays only when a direct path isn't reachable, which keeps overhead close to raw WireGuard rather than routing everything through a central VPN server.","A name that comes up constantly in engineering blogs, self-hosting communities, and general developer conversation about remote access — recognition extends well past the networking and DevOps specialists who actually configure it, unlike the more narrowly-known tunnel tools it's sometimes compared against.","Clients are open source and cover every major desktop, mobile, and server platform, but the default coordination server is Tailscale's own hosted service; Headscale exists specifically so self-hosters can replace that layer without losing client compatibility, though it isn't the default path.",{"tailscale":769},"Add Tailscale alongside a server to reach it privately from a laptop or phone: SSH into OpenCode's terminal interface, or open its web interface in a phone browser, without exposing either to the public internet. The personal tier is free.",{},"Add remote access when you want to reach an agent running on another machine — a VPS or a home server — without exposing it to anyone but you.",{"tools":773,"descriptions":822,"aliases":825,"preface":826,"see_all":35},[774,797],{"tool_id":775,"name":776,"slug":776,"tooltip_description":777,"logo_url":778,"logo_bg":84,"pricing_model":779,"learning_curve_score":72,"popularity_score":72,"hosting_assignment_type":35,"hosting_provider_restriction":61,"hosting_target_restriction":61,"hosting_compatible_tool_ids":35,"parent_tool_id":35,"category":780,"subcategory":781,"categories":785,"subcategories":787,"flexibility_score":59,"performance_score":59,"portability_score":72,"is_featured":73,"tags":789,"score_reasonings":791,"published_date":266,"last_updated_date":35},287,"tmux","An open-source terminal multiplexer that splits one terminal into windows and panes and keeps sessions running on the machine after you detach or your SSH connection drops.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Ftmux.svg",{"slug":203,"display_name":204,"description":205},{"category_id":355,"name":356,"slug":357},{"subcategory_id":782,"name":783,"slug":784},74,"Terminal Multiplexers","terminal-multiplexers",[786],{"category_id":355,"name":356,"slug":357,"is_primary":3,"display_order":7},[788],{"subcategory_id":782,"name":783,"slug":784,"category_id":355,"is_primary":3,"display_order":7},[790],{"tag_id":63,"name":204,"slug":337,"tag_type":246},{"learning_curve":792,"flexibility":793,"performance":794,"popularity":795,"portability":796},"Basic detach and reattach takes minutes, but everything else sits behind a prefix key and bindings with no on-screen hints, and comfortable daily use usually means learning the command language and writing a .tmux.conf.","A full command language available from key bindings, the config file, and the shell, plus format strings, hooks, and a plugin manager, lets users and other tools script almost any layout or workflow on top of it.","A small C server process that adds negligible CPU and memory overhead even with many sessions and panes open, which is why it's the default choice on constrained servers.","Around 49K GitHub stars despite predating GitHub by years, part of OpenBSD's base system, and the multiplexer nearly every Linux, DevOps, and backend developer has met, though developers who never work in a terminal on remote machines may not know it.","Runs natively on Linux, macOS, the BSDs, and Solaris with a plain-text config that moves between machines unchanged, but Windows support goes through WSL or unofficial ports.",{"tool_id":798,"name":799,"slug":800,"tooltip_description":801,"logo_url":802,"logo_bg":84,"pricing_model":803,"learning_curve_score":86,"popularity_score":93,"hosting_assignment_type":35,"hosting_provider_restriction":61,"hosting_target_restriction":61,"hosting_compatible_tool_ids":35,"parent_tool_id":35,"category":804,"subcategory":805,"categories":806,"subcategories":808,"flexibility_score":72,"performance_score":72,"portability_score":72,"is_featured":73,"tags":810,"score_reasonings":816,"published_date":266,"last_updated_date":35},288,"Zellij","zellij","An open-source terminal workspace written in Rust that splits a terminal into tabs and panes, keeps sessions running after you detach, and can serve them to a browser.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fzellij.png",{"slug":203,"display_name":204,"description":205},{"category_id":355,"name":356,"slug":357},{"subcategory_id":782,"name":783,"slug":784},[807],{"category_id":355,"name":356,"slug":357,"is_primary":3,"display_order":7},[809],{"subcategory_id":782,"name":783,"slug":784,"category_id":355,"is_primary":3,"display_order":7},[811,812],{"tag_id":63,"name":204,"slug":337,"tag_type":246},{"tag_id":813,"name":814,"slug":815,"tag_type":259},43,"Cross-platform","cross-platform",{"learning_curve":817,"flexibility":818,"performance":819,"popularity":820,"portability":821},"The status bar shows the key bindings for whichever mode you're in, and the defaults work without a config file, so most people can split panes, switch tabs, and detach within the first session.","KDL layout files, a WebAssembly plugin system, and a CLI for scripting sessions cover most customization needs, though the plugin ecosystem and scripting surface are younger and smaller than tmux's.","A Rust binary that stays responsive with many panes, but it holds more memory than tmux's small C server, which shows on small VPS plans.","Around 35K GitHub stars and a steady presence in terminal-workflow and dotfiles communities, yet most developers outside those circles still reach for tmux or have never heard of a multiplexer other than it.","Runs on Linux, macOS, and natively on Windows, with a portable config and layout files, though it's rarely preinstalled on servers the way tmux often is.",{"tmux":823,"zellij":824},"Add tmux when OpenCode runs on a server or over SSH: its terminal interface otherwise ends with the connection, while a tmux session keeps it working and lets you reattach from any machine. It also keeps the headless server behind OpenCode's web interface running after you log out.","Add Zellij for the same keep-running sessions with friendlier defaults: shortcuts stay on screen, floating panes suit a test watcher beside OpenCode, and layouts come back after a reboot, though the running agent doesn't. Its web client reaches the terminal from a browser.",{},"Add session persistence when the agent runs on a server or over SSH: a terminal multiplexer keeps the session working after the connection drops or the laptop closes, and you reattach from any machine to pick up where it left off.",{"tools":828,"descriptions":942,"aliases":948,"preface":949,"see_all":35},[829,854,876,898,920],{"tool_id":830,"name":831,"slug":832,"tooltip_description":833,"logo_url":834,"logo_bg":84,"pricing_model":835,"learning_curve_score":86,"popularity_score":93,"hosting_assignment_type":35,"hosting_provider_restriction":61,"hosting_target_restriction":61,"hosting_compatible_tool_ids":35,"parent_tool_id":35,"category":836,"subcategory":837,"categories":841,"subcategories":843,"flexibility_score":72,"performance_score":59,"portability_score":93,"is_featured":73,"tags":845,"score_reasonings":848,"published_date":266,"last_updated_date":35},279,"Ghostty","ghostty","A GPU-accelerated terminal emulator built by Mitchell Hashimoto that renders with native UI components on each platform instead of a cross-platform toolkit.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fghostty.svg",{"slug":203,"display_name":204,"description":205},{"category_id":355,"name":356,"slug":357},{"subcategory_id":838,"name":839,"slug":840},72,"Terminals","terminals",[842],{"category_id":355,"name":356,"slug":357,"is_primary":3,"display_order":7},[844],{"subcategory_id":838,"name":839,"slug":840,"category_id":355,"is_primary":3,"display_order":7},[846,847],{"tag_id":63,"name":204,"slug":337,"tag_type":246},{"tag_id":813,"name":814,"slug":815,"tag_type":259},{"learning_curve":849,"flexibility":850,"performance":851,"popularity":852,"portability":853},"Ships with sensible defaults and native settings UI on macOS, so most users are productive immediately; deeper customization (shaders, keybindings) means editing the plain-text config file.","Plain-text config covers fonts, colors, keybindings, and window behavior, and custom GLSL shaders allow visual customization beyond what most terminal emulators expose, though there's no plugin\u002Fextension marketplace.","GPU-accelerated native rendering plus a stated focus on correct emulation of demanding TUI applications puts it among the fastest and most reliable terminals in independent comparisons.","Grew to 60K+ GitHub stars in under two years and generated significant coverage in developer press, largely on the strength of Mitchell Hashimoto's reputation, but that recognition is still concentrated among developers who follow terminal-customization and HashiCorp-adjacent communities rather than the broader developer population.","Runs natively on macOS and Linux with a portable plain-text config, but has no native Windows build — the underlying parsing library targets Windows as future groundwork, not a shipping GUI today.",{"tool_id":855,"name":856,"slug":857,"tooltip_description":858,"logo_url":859,"logo_bg":84,"pricing_model":860,"learning_curve_score":93,"popularity_score":86,"hosting_assignment_type":35,"hosting_provider_restriction":61,"hosting_target_restriction":61,"hosting_compatible_tool_ids":35,"parent_tool_id":35,"category":861,"subcategory":862,"categories":863,"subcategories":865,"flexibility_score":93,"performance_score":59,"portability_score":59,"is_featured":73,"tags":867,"score_reasonings":870,"published_date":266,"last_updated_date":35},280,"Alacritty","alacritty","A GPU-accelerated, cross-platform terminal emulator focused on raw rendering speed and minimal, text-based configuration.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Falacritty.svg",{"slug":203,"display_name":204,"description":205},{"category_id":355,"name":356,"slug":357},{"subcategory_id":838,"name":839,"slug":840},[864],{"category_id":355,"name":356,"slug":357,"is_primary":3,"display_order":7},[866],{"subcategory_id":838,"name":839,"slug":840,"category_id":355,"is_primary":3,"display_order":7},[868,869],{"tag_id":63,"name":204,"slug":337,"tag_type":246},{"tag_id":813,"name":814,"slug":815,"tag_type":259},{"learning_curve":871,"flexibility":872,"performance":873,"popularity":874,"portability":875},"Works immediately with sane defaults, but real customization means hand-editing a TOML file, and tabs\u002Fsplits only appear once it's paired with a multiplexer like tmux — a step GUI-configured terminals don't require.","Every color, font, and keybinding is configurable via plain text, and an IPC socket allows scripted control, but there's no plugin\u002Fextension system — functionality beyond rendering is delegated entirely to external tools.","GPU-accelerated OpenGL rendering consistently benchmarks among the lowest-latency, highest-throughput terminal emulators available, even under heavy scrollback.","Well known among developers who actively customize their terminal setup, with 65K+ GitHub stars, but recognition is concentrated in that power-user segment rather than the broader developer population, most of whom use their OS default or an IDE's integrated terminal.","Runs natively on Linux, macOS, Windows, and BSD from one codebase, with a plain-text config that ports across machines unchanged and no dependency on any single vendor or platform.",{"tool_id":877,"name":878,"slug":879,"tooltip_description":880,"logo_url":881,"logo_bg":84,"pricing_model":882,"learning_curve_score":93,"popularity_score":86,"hosting_assignment_type":35,"hosting_provider_restriction":61,"hosting_target_restriction":61,"hosting_compatible_tool_ids":35,"parent_tool_id":35,"category":883,"subcategory":884,"categories":885,"subcategories":887,"flexibility_score":59,"performance_score":72,"portability_score":59,"is_featured":73,"tags":889,"score_reasonings":892,"published_date":266,"last_updated_date":35},281,"WezTerm","wezterm","A GPU-accelerated terminal emulator with a built-in multiplexer and a full Lua scripting environment for configuration.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fwezterm.svg",{"slug":203,"display_name":204,"description":205},{"category_id":355,"name":356,"slug":357},{"subcategory_id":838,"name":839,"slug":840},[886],{"category_id":355,"name":356,"slug":357,"is_primary":3,"display_order":7},[888],{"subcategory_id":838,"name":839,"slug":840,"category_id":355,"is_primary":3,"display_order":7},[890,891],{"tag_id":63,"name":204,"slug":337,"tag_type":246},{"tag_id":813,"name":814,"slug":815,"tag_type":259},{"learning_curve":893,"flexibility":894,"performance":895,"popularity":896,"portability":897},"Ships with usable defaults, but unlocking its real power means writing Lua rather than editing a flat config file, which asks more of users with no scripting background than simpler emulators do.","Configuration is a full Lua environment supporting conditional logic and event hooks, on top of a built-in multiplexer and native SSH client — capabilities most terminal emulators leave to external tools entirely.","GPU-accelerated Rust rendering keeps it fast and responsive, though the built-in multiplexer and session-persistence layer add overhead that minimal, rendering-only terminals don't carry.","Recognized within the terminal-customization and cross-platform-dev communities, particularly for its Windows support, but that recognition stays inside the power-user niche rather than reaching developers who don't customize their terminal setup.","The same Lua config runs unmodified on macOS, Linux, Windows, and FreeBSD, and SSH-backed sessions can be reattached from any of them, with no vendor tie-in of any kind.",{"tool_id":899,"name":900,"slug":901,"tooltip_description":902,"logo_url":903,"logo_bg":84,"pricing_model":904,"learning_curve_score":93,"popularity_score":86,"hosting_assignment_type":35,"hosting_provider_restriction":61,"hosting_target_restriction":61,"hosting_compatible_tool_ids":35,"parent_tool_id":35,"category":905,"subcategory":906,"categories":907,"subcategories":909,"flexibility_score":59,"performance_score":59,"portability_score":93,"is_featured":73,"tags":911,"score_reasonings":914,"published_date":266,"last_updated_date":35},282,"Kitty","kitty","A GPU-accelerated terminal emulator with a Python-based plugin system (kittens), built-in image display, and its own protocol extensions.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fkitty.png",{"slug":203,"display_name":204,"description":205},{"category_id":355,"name":356,"slug":357},{"subcategory_id":838,"name":839,"slug":840},[908],{"category_id":355,"name":356,"slug":357,"is_primary":3,"display_order":7},[910],{"subcategory_id":838,"name":839,"slug":840,"category_id":355,"is_primary":3,"display_order":7},[912,913],{"tag_id":63,"name":204,"slug":337,"tag_type":246},{"tag_id":813,"name":814,"slug":815,"tag_type":259},{"learning_curve":915,"flexibility":916,"performance":917,"popularity":918,"portability":919},"Basic usage works out of the box, but its deeper capabilities — writing kittens, using the remote-control API — require Python scripting knowledge that casual users won't already have.","A Python-based plugin system (kittens), a full remote-control API, and built-in tabs\u002Fsplits\u002Flayouts give it more programmable surface area than emulators that only expose static configuration.","SIMD-accelerated, multithreaded GPU rendering keeps it competitive with the fastest terminal emulators available, and it originated protocol extensions other tools later adopted for their own performance gains.","Well known and long-established among terminal power users, and its protocol contributions are recognized industry-wide among emulator authors, but general developer awareness of Kitty specifically stays inside that niche.","Runs natively on Linux, macOS, and BSD, but Windows users are limited to running it inside WSL rather than a native build, which is a real gap relative to fully cross-platform alternatives.",{"tool_id":921,"name":922,"slug":923,"tooltip_description":924,"logo_url":925,"logo_bg":54,"pricing_model":926,"learning_curve_score":86,"popularity_score":93,"hosting_assignment_type":35,"hosting_provider_restriction":61,"hosting_target_restriction":61,"hosting_compatible_tool_ids":35,"parent_tool_id":35,"category":927,"subcategory":928,"categories":929,"subcategories":931,"flexibility_score":72,"performance_score":93,"portability_score":47,"is_featured":73,"tags":933,"score_reasonings":936,"published_date":266,"last_updated_date":35},283,"iTerm2","iterm2","A free, open-source terminal replacement for macOS with a deep feature set built up over more than a decade of development.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fiterm2.svg",{"slug":203,"display_name":204,"description":205},{"category_id":355,"name":356,"slug":357},{"subcategory_id":838,"name":839,"slug":840},[930],{"category_id":355,"name":356,"slug":357,"is_primary":3,"display_order":7},[932],{"subcategory_id":838,"name":839,"slug":840,"category_id":355,"is_primary":3,"display_order":7},[934,935],{"tag_id":63,"name":204,"slug":337,"tag_type":246},{"tag_id":252,"name":253,"slug":254,"tag_type":246},{"learning_curve":937,"flexibility":938,"performance":939,"popularity":940,"portability":941},"Ships with a full native macOS preferences GUI and sensible defaults, so day-one usage is straightforward; the depth of options (triggers, profiles, the Python scripting API) takes longer to fully explore than a minimal terminal's config file.","Profiles, triggers, a status bar with pluggable components, and a Python API for scripting give it one of the broader customization surfaces among terminal emulators, short of a full plugin marketplace.","Handles everyday terminal workloads well but isn't GPU-accelerated the way the newer Rust\u002FZig-based emulators are, and has a longstanding reputation for slowing down on very large output streams compared to that group.","Predates GitHub-stars-driven discovery and built its install base as the default non-default macOS terminal for over a decade through Homebrew and direct downloads rather than repository traffic — broadly recognized among Mac developers specifically, but that recognition doesn't extend past macOS the way a cross-platform tool's would.","macOS-only by design with no Windows or Linux build on the roadmap — the least portable of the terminal emulators in this catalog.",{"ghostty":943,"alacritty":944,"wezterm":945,"kitty":946,"iterm2":947},"A GPU-accelerated terminal with native macOS and Linux integration, and one of the terminals OpenCode's docs name, a solid default for keeping its terminal interface open all day.","A minimal, GPU-accelerated terminal that does little beyond drawing text fast, also named in OpenCode's docs; pick it when a multiplexer or window manager already handles tabs and splits.","A GPU-accelerated terminal with built-in tabs, splits, and multiplexing configured in Lua, recommended in OpenCode's docs and able to stand in for both the terminal and tmux on a local machine.","A GPU-accelerated terminal with its own graphics protocol and a scripting layer called kittens, another of OpenCode's recommended terminals, for developers who want deep customization.","The long-standing free macOS terminal, with split panes, profiles, triggers, and tmux integration. The familiar pick for Mac users who want OpenCode in the terminal they already know.",{},"Add a terminal when you want a faster, more configurable place to run the agent than your OS default — most agent CLIs live here all day.",{"tools":951,"descriptions":1024,"aliases":1028,"preface":1029,"see_all":35},[952,978,1002],{"tool_id":953,"name":954,"slug":955,"tooltip_description":956,"logo_url":957,"logo_bg":84,"pricing_model":958,"learning_curve_score":47,"popularity_score":72,"hosting_assignment_type":35,"hosting_provider_restriction":61,"hosting_target_restriction":61,"hosting_compatible_tool_ids":35,"parent_tool_id":35,"category":959,"subcategory":960,"categories":964,"subcategories":966,"flexibility_score":72,"performance_score":93,"portability_score":93,"is_featured":73,"tags":968,"score_reasonings":972,"published_date":266,"last_updated_date":35},284,"CodeRabbit","coderabbit","AI code reviewer that comments on every pull request in GitHub, GitLab, Bitbucket, and Azure DevOps, combining language-model review with more than 40 static analyzers. The same reviews also run in IDE extensions and a CLI.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fcoderabbit.svg",{"slug":56,"display_name":57,"description":58},{"category_id":355,"name":356,"slug":357},{"subcategory_id":961,"name":962,"slug":963},73,"AI Code Review","ai-code-review",[965],{"category_id":355,"name":356,"slug":357,"is_primary":3,"display_order":7},[967],{"subcategory_id":961,"name":962,"slug":963,"category_id":355,"is_primary":3,"display_order":7},[969,970,971],{"tag_id":248,"name":249,"slug":250,"tag_type":246},{"tag_id":252,"name":253,"slug":254,"tag_type":246},{"tag_id":256,"name":257,"slug":258,"tag_type":259},{"flexibility":973,"learning_curve":974,"performance":975,"popularity":976,"portability":977},"Path-specific instructions, learnings from PR replies, custom pre-merge checks, and four Git hosts plus IDE and CLI surfaces give teams a lot of control over what gets reviewed and how. The underlying models are chosen by CodeRabbit, not the user.","Setup is installing a Git app and picking repositories; the first review arrives on the next pull request with no configuration. The YAML config and path instructions are optional refinements.","Reviews arrive within minutes and PR summaries are widely praised, but independent bug-catch benchmarks put its detection rate well behind Greptile and some other reviewers, and noisy comments are a common complaint.","The most-installed AI app on the GitHub Marketplace, with over two million connected repositories, more than 17,000 customers, and a $1.5B valuation. Well known among developers who work with pull requests, though AI code review is still a young category many developers have not adopted.","Works across GitHub, GitLab, Bitbucket, and Azure DevOps and sits outside the codebase, so switching reviewers is an app uninstall. It is a hosted SaaS, and learnings and configuration do not carry over to other tools.",{"tool_id":979,"name":980,"slug":981,"tooltip_description":982,"logo_url":983,"logo_bg":84,"pricing_model":984,"learning_curve_score":86,"popularity_score":93,"hosting_assignment_type":35,"hosting_provider_restriction":61,"hosting_target_restriction":61,"hosting_compatible_tool_ids":35,"parent_tool_id":35,"category":985,"subcategory":986,"categories":987,"subcategories":989,"flexibility_score":72,"performance_score":72,"portability_score":72,"is_featured":73,"tags":991,"score_reasonings":996,"published_date":266,"last_updated_date":35},285,"Greptile","greptile","AI code reviewer that indexes the whole repository into a code graph and uses it to review pull requests, catching bugs that span several files. Supports GitHub, GitLab, and Bitbucket, with self-hosting on Enterprise.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fgreptile.png",{"slug":56,"display_name":57,"description":58},{"category_id":355,"name":356,"slug":357},{"subcategory_id":961,"name":962,"slug":963},[988],{"category_id":355,"name":356,"slug":357,"is_primary":3,"display_order":7},[990],{"subcategory_id":961,"name":962,"slug":963,"category_id":355,"is_primary":3,"display_order":7},[992,993,994,995],{"tag_id":243,"name":244,"slug":245,"tag_type":246},{"tag_id":248,"name":249,"slug":250,"tag_type":246},{"tag_id":252,"name":253,"slug":254,"tag_type":246},{"tag_id":256,"name":257,"slug":258,"tag_type":259},{"learning_curve":997,"flexibility":998,"performance":999,"popularity":1000,"portability":1001},"Connecting a Git host and indexing a repository is quick, but getting the most out of it means writing custom rules and understanding the credit model and when a TREX review is worth three credits.","Plain-language custom rules, a choice of standard or execution-backed reviews, an API, and on Enterprise a bring-your-own-model option give teams real control over how reviews run.","Independent comparisons put its raw bug-catch rate at the top of the mainstream AI reviewers, driven by the codebase graph, and TREX adds execution evidence that static reading cannot produce.","Well regarded among teams evaluating AI code review, with more than 2,000 customers and Benchmark backing, but far less widely known than CodeRabbit and largely unknown to developers outside that decision.","Supports GitHub, GitLab, and Bitbucket in the cloud and can be self-hosted or run air-gapped with a team's own models on Enterprise, which few rivals offer. Azure DevOps is the notable gap.",{"tool_id":1003,"name":1004,"slug":1005,"tooltip_description":1006,"logo_url":1007,"logo_bg":84,"pricing_model":1008,"learning_curve_score":47,"popularity_score":93,"hosting_assignment_type":35,"hosting_provider_restriction":61,"hosting_target_restriction":61,"hosting_compatible_tool_ids":35,"parent_tool_id":35,"category":1009,"subcategory":1010,"categories":1011,"subcategories":1013,"flexibility_score":93,"performance_score":72,"portability_score":86,"is_featured":73,"tags":1015,"score_reasonings":1018,"published_date":266,"last_updated_date":35},286,"Cursor Bugbot","cursor-bugbot","Cursor's AI pull request reviewer, which runs as a GitHub or GitLab app and flags logic bugs, edge cases, and security issues on each PR. It works on any repository, whether or not the code was written in Cursor.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fcursor-bugbot.svg",{"slug":650,"display_name":651,"description":652},{"category_id":355,"name":356,"slug":357},{"subcategory_id":961,"name":962,"slug":963},[1012],{"category_id":355,"name":356,"slug":357,"is_primary":3,"display_order":7},[1014],{"subcategory_id":961,"name":962,"slug":963,"category_id":355,"is_primary":3,"display_order":7},[1016,1017],{"tag_id":252,"name":253,"slug":254,"tag_type":246},{"tag_id":256,"name":257,"slug":258,"tag_type":259},{"learning_curve":1019,"flexibility":1020,"performance":1021,"popularity":1022,"portability":1023},"Enabling it is a toggle in the Cursor dashboard plus a Git app install, and it reviews the next pull request with no rules written. BUGBOT.md files are optional context.","Nested BUGBOT.md rules, team rules, and effort levels let teams steer what it looks for, but the models and review style are Cursor's choice and it only covers GitHub and GitLab.","Reviews run automatically on each update and got about three times faster in a mid-2026 update; Cursor reports developers resolving around 80% of flagged bugs by merge, with the high effort setting finding more on complex changes.","The Cursor name is widely known and Bugbot reviews more than two million pull requests a month, but the reviewer itself is known mainly to Cursor users and teams comparing AI code review tools.","Works on any repository on GitHub or GitLab, but setup and billing are tied to a Cursor account, rules live in Cursor-specific BUGBOT.md files, and Autofix depends on Cursor's cloud agents.",{"coderabbit":1025,"greptile":1026,"cursor-bugbot":1027},"Add CodeRabbit when you want an AI reviewer on every pull request OpenCode opens: it installs as a GitHub or GitLab app, summarizes the diff, and leaves line-level comments before anyone merges, with a free tier for open-source repos.","Add Greptile when review should read the whole repository rather than just the diff: it indexes the codebase so its GitHub and GitLab comments carry wider context, and it can be self-hosted alongside your own models.","Add Cursor Bugbot when a bug-focused reviewer is enough: it reviews GitHub or GitLab pull requests whatever wrote the code, though it bills through a Cursor account and plan rather than its own subscription.",{},"Add code review when you want an AI reading every pull request before it merges: it comments on the diff so bugs, security issues, and inconsistencies surface before a human has to catch them.",{"tools":1031,"descriptions":1081,"aliases":1084,"preface":1085,"see_all":1086},[1032,1057],{"tool_id":1033,"name":1034,"slug":1035,"tooltip_description":1036,"logo_url":1037,"logo_bg":84,"pricing_model":1038,"learning_curve_score":59,"popularity_score":72,"hosting_assignment_type":35,"hosting_provider_restriction":61,"hosting_target_restriction":61,"hosting_compatible_tool_ids":35,"parent_tool_id":35,"category":1039,"subcategory":1040,"categories":1044,"subcategories":1046,"flexibility_score":72,"performance_score":72,"portability_score":93,"is_featured":73,"tags":1048,"score_reasonings":1051,"published_date":266,"last_updated_date":35},218,"OpenRouter","openrouter","Unified, OpenAI-compatible API to 500+ models across 80+ providers, with automatic provider fallback and one credits-based bill: the hosted, nothing-to-deploy counterpart to a self-hosted gateway like LiteLLM.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fopenrouter.svg",{"slug":650,"display_name":651,"description":652},{"category_id":63,"name":64,"slug":65},{"subcategory_id":1041,"name":1042,"slug":1043},63,"AI Model Aggregators","ai-model-aggregators",[1045],{"category_id":63,"name":64,"slug":65,"is_primary":3,"display_order":7},[1047],{"subcategory_id":1041,"name":1042,"slug":1043,"category_id":63,"is_primary":3,"display_order":7},[1049,1050],{"tag_id":504,"name":505,"slug":506,"tag_type":396},{"tag_id":256,"name":257,"slug":258,"tag_type":259},{"learning_curve":1052,"flexibility":1053,"performance":1054,"portability":1055,"popularity":1056},"A single OpenAI-compatible API key and endpoint gives instant access to hundreds of models, no infrastructure setup or provider-specific integration work required.","500+ models across 80+ providers, custom data policies, and a Bring-Your-Own-Key mode cover most routing needs, though there's no control over the underlying routing logic the way a self-hosted gateway offers.","Edge-deployed routing and automatic provider fallback keep added latency low and reliability high, backed by real scale (200+ trillion tokens\u002Fmonth).","Closed-source, hosted-only SaaS with no self-hosting option, credits and API keys are OpenRouter-specific and don't transfer if switching to a self-hosted gateway.","Aggregates 400+ models from 60+ providers behind one OpenAI-style API and is usually the first stop for developers who want to try many models without juggling separate provider keys. A fixture of the LLM-app-building corner of AI development specifically, not a name outside that corner.",{"tool_id":1058,"name":1059,"slug":1060,"tooltip_description":1061,"logo_url":1062,"logo_bg":84,"pricing_model":1063,"learning_curve_score":86,"popularity_score":72,"hosting_assignment_type":60,"hosting_provider_restriction":61,"hosting_target_restriction":61,"hosting_compatible_tool_ids":35,"parent_tool_id":35,"category":1064,"subcategory":1065,"categories":1066,"subcategories":1068,"flexibility_score":59,"performance_score":72,"portability_score":59,"is_featured":73,"tags":1070,"score_reasonings":1075,"published_date":266,"last_updated_date":35},221,"LiteLLM","litellm","The self-hosted, MIT-licensed counterpart to OpenRouter, 56K+ stars, an OpenAI-compatible gateway to 100+ providers you run yourself, trading zero-ops for full control over routing, spend, and data.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Flitellm.png",{"slug":203,"display_name":204,"description":205},{"category_id":63,"name":64,"slug":65},{"subcategory_id":1041,"name":1042,"slug":1043},[1067],{"category_id":63,"name":64,"slug":65,"is_primary":3,"display_order":7},[1069],{"subcategory_id":1041,"name":1042,"slug":1043,"category_id":63,"is_primary":3,"display_order":7},[1071,1072,1073,1074],{"tag_id":63,"name":204,"slug":337,"tag_type":246},{"tag_id":243,"name":244,"slug":245,"tag_type":246},{"tag_id":504,"name":505,"slug":506,"tag_type":396},{"tag_id":256,"name":257,"slug":258,"tag_type":259},{"learning_curve":1076,"flexibility":1077,"performance":1078,"popularity":1079,"portability":1080},"Requires standing up and maintaining real infrastructure, PostgreSQL, Redis, the proxy server itself, meaningfully more setup than a zero-ops hosted aggregator like OpenRouter.","Full control over routing logic, guardrails, virtual keys, and spend limits across 100+ providers, the most configurable option in the aggregator genre precisely because you own the deployment.","8ms P95 latency at 1,000 RPS and a Rust core deliver genuinely fast proxy performance, though real-world throughput depends on the self-hosted infrastructure backing it.","56K+ GitHub stars and production adoption at Stripe, Google ADK, Greptile, and OpenHands make it the clear self-hosted leader in this genre.","MIT licensed, genuinely self-hostable anywhere with Docker or the provided Terraform modules, no vendor lock-in to a hosted service.",{"openrouter":1082,"litellm":1083},"Add OpenRouter when you want one key and one credit balance for every model here and hundreds more. OpenCode lists it as a built-in provider, requests fall back to another host when one is down, and it charges provider prices plus 5.5% on credit purchases, with a few free models at 50 requests a day.","Add LiteLLM when you'd rather run the gateway yourself: an MIT-licensed proxy on your own server that puts DeepSeek, GLM, Kimi, and local models behind one OpenAI-compatible endpoint, which OpenCode connects to as a custom provider, with per-key budgets and spend logs. Self-hosting it is free.",{},"Add a model aggregator when you want one API key and one bill for models from many providers, with automatic fallback when one of them is down, instead of setting up each provider separately.",{"kind":1087,"slug":1043,"name":1042,"href":1088},"subcategory","\u002Ftools\u002Fcategories\u002Fapis-infrastructure\u002Fai-model-aggregators",{"tools":1090,"descriptions":1149,"aliases":1152,"preface":1153,"see_all":1154},[1091,1124],{"tool_id":1092,"name":1093,"slug":1094,"tooltip_description":1095,"logo_url":1096,"logo_bg":54,"pricing_model":1097,"learning_curve_score":93,"popularity_score":59,"hosting_assignment_type":35,"hosting_provider_restriction":61,"hosting_target_restriction":61,"hosting_compatible_tool_ids":35,"parent_tool_id":35,"category":1098,"subcategory":1099,"categories":1103,"subcategories":1105,"flexibility_score":59,"performance_score":72,"portability_score":72,"is_featured":73,"tags":1107,"score_reasonings":1118,"published_date":346,"last_updated_date":266},164,"GitHub Actions","github-actions","GitHub's integrated CI\u002FCD platform that automates build, test, and deployment workflows using YAML-based configurations. Runs on GitHub-hosted or self-hosted runners with a rich marketplace of pre-built integrations.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fgithub-actions.svg",{"slug":56,"display_name":57,"description":58},{"category_id":243,"name":749,"slug":750},{"subcategory_id":1100,"name":1101,"slug":1102},34,"CI\u002FCD Pipelines","cicd-pipelines",[1104],{"category_id":243,"name":749,"slug":750,"is_primary":3,"display_order":7},[1106],{"subcategory_id":1100,"name":1101,"slug":1102,"category_id":243,"is_primary":3,"display_order":7},[1108,1109,1110,1111,1112,1113],{"tag_id":248,"name":249,"slug":250,"tag_type":246},{"tag_id":243,"name":244,"slug":245,"tag_type":246},{"tag_id":256,"name":257,"slug":258,"tag_type":259},{"tag_id":393,"name":394,"slug":395,"tag_type":396},{"tag_id":671,"name":672,"slug":673,"tag_type":246},{"tag_id":1114,"name":1115,"slug":1116,"tag_type":1117},45,"Declarative","declarative","paradigm",{"flexibility":1119,"learning_curve":1120,"performance":1121,"popularity":1122,"portability":1123},"Self-hosted runner support across any OS or cloud, custom labels, matrix builds, Kubernetes scaling via Actions Runner Controller, and a marketplace of thousands of community-built actions give teams virtually unlimited configuration options for any workflow or environment.","Basic single-job workflows are accessible to any developer comfortable with YAML, and GitHub's documentation lowers the barrier further. However, advanced patterns — composite actions, reusable workflows, OIDC-based cloud auth, and conditional matrix strategies — involve non-obvious syntax and a complex permission model that requires meaningful time to master.","The platform handles massive scale reliably, but GitHub-hosted runner performance can vary between runs, making consistent benchmarking difficult. Teams running on self-hosted or larger hosted runners achieve stable, high throughput; the managed offering trades predictable latency for zero infrastructure overhead.","GitHub Actions is the dominant CI\u002FCD platform with tens of millions of repositories using it, thousands of marketplace actions, and widespread enterprise adoption. It is cited as the most-used CI\u002FCD solution in multiple developer surveys.","Self-hosted runners can run on any cloud or on-premises infrastructure, and the YAML workflow model is readable and auditable. The main constraint is tight coupling to GitHub events and APIs — moving workflows to another CI\u002FCD platform requires meaningful rewriting rather than a simple lift-and-shift.",{"tool_id":319,"name":1125,"slug":1126,"tooltip_description":1127,"logo_url":586,"logo_bg":54,"pricing_model":1128,"learning_curve_score":93,"popularity_score":72,"hosting_assignment_type":35,"hosting_provider_restriction":61,"hosting_target_restriction":61,"hosting_compatible_tool_ids":35,"parent_tool_id":35,"category":1129,"subcategory":1130,"categories":1131,"subcategories":1133,"flexibility_score":59,"performance_score":93,"portability_score":93,"is_featured":73,"tags":1135,"score_reasonings":1143,"published_date":346,"last_updated_date":266},"GitLab CI\u002FCD","gitlab-cicd","GitLab's built-in CI\u002FCD system configured through .gitlab-ci.yml files stored in your repository. Supports both GitLab-hosted and self-hosted runners for flexible pipeline execution across diverse environments.",{"slug":56,"display_name":57,"description":58},{"category_id":243,"name":749,"slug":750},{"subcategory_id":1100,"name":1101,"slug":1102},[1132],{"category_id":243,"name":749,"slug":750,"is_primary":3,"display_order":7},[1134],{"subcategory_id":1100,"name":1101,"slug":1102,"category_id":243,"is_primary":3,"display_order":7},[1136,1137,1138,1139,1140,1141,1142],{"tag_id":248,"name":249,"slug":250,"tag_type":246},{"tag_id":243,"name":244,"slug":245,"tag_type":246},{"tag_id":256,"name":257,"slug":258,"tag_type":259},{"tag_id":393,"name":394,"slug":395,"tag_type":396},{"tag_id":63,"name":204,"slug":337,"tag_type":246},{"tag_id":671,"name":672,"slug":673,"tag_type":246},{"tag_id":1114,"name":1115,"slug":1116,"tag_type":1117},{"learning_curve":1144,"flexibility":1145,"performance":1146,"popularity":1147,"portability":1148},"The core .gitlab-ci.yml syntax is approachable for developers with YAML and Linux fundamentals, and GitLab's documentation is thorough. However, the platform's breadth — runner executors, pipeline inheritance, CI\u002FCD Catalog, merge trains, and security scanning configuration — creates a long tail of advanced concepts that teams discover gradually over months.","Multiple runner executor types (Docker, Kubernetes, Shell, machine), unlimited self-hosted runner capacity, parent-child pipelines, reusable CI\u002FCD Components, and the ability to self-host the entire platform give teams complete control over their pipeline environment and infrastructure.","Pipeline performance depends heavily on runner configuration and caching strategy. Shared GitLab-hosted runners can experience queue delays during peak periods, and Docker+machine executors add startup overhead. Teams running optimized self-hosted Kubernetes runners with effective caching achieve significantly faster pipelines, but the default shared experience is average for the CI\u002FCD category.","GitLab CI\u002FCD is used by over 100,000 organizations and is particularly strong among enterprises and security-conscious DevOps teams. It consistently ranks among the top CI\u002FCD platforms in developer surveys, though GitHub Actions has overtaken it in raw adoption volume — especially among open-source and smaller team segments.","GitLab CE is fully open source and self-hostable on any infrastructure, which is a strong portability advantage. However, .gitlab-ci.yml pipelines are tightly coupled to GitLab's API and runner ecosystem — migrating pipeline definitions to another CI\u002FCD system (GitHub Actions, CircleCI, etc.) requires substantial rewriting rather than a simple port.",{"github-actions":1150,"gitlab-cicd":1151},"Add GitHub Actions when the repo lives on GitHub and every push OpenCode makes should run the tests. It's also where OpenCode's GitHub integration runs, so the same account covers both.","Add GitLab CI\u002FCD when the project is on GitLab and needs the same automated tests on every push, defined in a .gitlab-ci.yml file that can run entirely on your own runners.",{},"Add CI\u002FCD when you want a dedicated pipeline for running tests, linting, or multi-stage builds before a deploy goes out. Many hosting platforms already redeploy automatically on every push on their own — a CI\u002FCD tool adds the most value on top of that by gating the deploy on a passing test suite, and matters even more when the hosting choice does not auto-deploy at all, such as a self-hosted server.",{"kind":1087,"slug":1102,"name":1101,"href":1155},"\u002Ftools\u002Fcategories\u002Fdevops-cicd\u002Fcicd-pipelines",{"tools":1157,"descriptions":1185,"aliases":1187,"preface":1188,"see_all":1189},[1158],{"tool_id":838,"name":1159,"slug":1160,"tooltip_description":1161,"logo_url":1162,"logo_bg":84,"pricing_model":1163,"learning_curve_score":72,"popularity_score":59,"hosting_assignment_type":35,"hosting_provider_restriction":61,"hosting_target_restriction":61,"hosting_compatible_tool_ids":35,"parent_tool_id":35,"category":1164,"subcategory":1165,"categories":1169,"subcategories":1171,"flexibility_score":59,"performance_score":72,"portability_score":59,"is_featured":3,"tags":1173,"score_reasonings":1179,"published_date":346,"last_updated_date":266},"Docker","docker","Container platform for packaging applications and their dependencies into portable images that run the same on a laptop, in CI, and in production, with Docker Desktop, Compose, and Docker Hub.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fdocker.svg",{"slug":56,"display_name":57,"description":58},{"category_id":243,"name":749,"slug":750},{"subcategory_id":1166,"name":1167,"slug":1168},33,"Containerization","containerization",[1170],{"category_id":243,"name":749,"slug":750,"is_primary":3,"display_order":7},[1172],{"subcategory_id":1166,"name":1167,"slug":1168,"category_id":243,"is_primary":3,"display_order":7},[1174,1175,1176,1177,1178],{"tag_id":63,"name":204,"slug":337,"tag_type":246},{"tag_id":243,"name":244,"slug":245,"tag_type":246},{"tag_id":671,"name":672,"slug":673,"tag_type":246},{"tag_id":393,"name":394,"slug":395,"tag_type":396},{"tag_id":813,"name":814,"slug":815,"tag_type":259},{"learning_curve":1180,"performance":1181,"portability":1182,"flexibility":1183,"popularity":1184},"Container images, networking, volumes, and multi-stage builds all need deliberate learning.","Container overhead is minimal; near-native performance for most workloads.","Open standard; containers built with Docker run on any container-compatible platform.","Any runtime, any architecture; multi-stage builds and Compose profiles support complex systems.","The standard for containerization; present in virtually every modern software project.",{"docker":1186},"Add Docker when OpenCode should work in a reproducible, disposable environment, or when the project needs the same setup locally, on a server, and in CI. OpenCode itself is also published as a container image.",{},"Add containerization when you want the app packaged the same way across local development, staging, and production, or need to deploy somewhere that isn't a managed serverless platform.",{"kind":1087,"slug":1168,"name":1167,"href":1190},"\u002Ftools\u002Fcategories\u002Fdevops-cicd\u002Fcontainerization",{},[110],1790518609289]