[{"data":1,"prerenderedAt":1115},["ShallowReactive",2],{"categories-init":3,"stack-zed-dev-stack":4,"stack-res-zed-dev-stack":1114},true,{"stack_id":5,"slug":6,"name":7,"tagline":8,"long_description":9,"key_features":10,"use_cases":18,"pros":24,"cons":29,"cover_image_url":34,"scores":35,"options":50,"additions":349,"addition_groups":928,"option_groups":953,"multi_select_option_types":954,"tools_by_category":955,"related_stacks":1008,"faqs":1063,"pricing":1079,"system_requirements":34,"experience_level":1109,"project_type":34,"stack_type_slug":1015,"stack_type_icon_url":1016,"published_date":610,"last_updated_date":34,"seo_meta":1110},253,"zed-dev-stack","Zed Dev Stack","A fast Rust editor with its own agent, and room to add Claude Code, Codex, or others.","Zed is an open-source code editor written in Rust, drawn on the GPU rather than through a browser engine, so it opens instantly and stays responsive on large files. It comes with its own agent, the **Zed Agent**, which edits across files, runs commands, calls MCP servers, and hands parts of a task to subagents. Several agent threads can run at once against different projects or git worktrees, and edit prediction suggests the next change as you type. Collaboration is built in too: shared projects, screen sharing, and editing together with live cursors.\n\nThe Zed Agent runs whichever model you pick. Claude is the default here; GPT and Gemini sit beside it as **Zed-hosted models** on the Pro plan, billed at the provider's list price plus 10%, and DeepSeek, Grok, and Mistral connect with your own API keys, as can Claude and OpenAI. A ChatGPT Plus or Pro sign-in also works as a provider, and the agent can run a local model when one is added. Zed charges nothing for the editor or for external agents; its paid plans add hosted models, unlimited edit predictions, and team controls.\n\nZed is also an **agent host**. You can add Claude Code, Codex, GitHub Copilot, OpenCode, Grok Build, or dozens of other agents from a registry inside the editor; they run over the Agent Client Protocol, with their changes shown in Zed's diff review, while Terminal Threads run any command-line agent as a managed thread in the sidebar. Each agent keeps its own subscription and model.\n\nZed runs on your own computer, which has to stay on: it has no hosted cloud agents and no phone app. Its built-in **remote development** opens a project on a server over SSH, with code, terminals, and language servers running there and the interface on your laptop, which also makes the Zed Agent's model calls, so the laptop still has to be open. For work that continues with it closed, an added agent's own cloud, such as Claude Code on the web or Codex cloud tasks, runs without Zed.",[11,12,13,14,15,16,17],"A native Rust editor with GPU rendering, Vim mode, and built-in collaboration","The Zed Agent with subagents and MCP, on Claude by default or GPT, Gemini, DeepSeek, Grok, or Mistral","Zed-hosted models on the Pro plan, or your own API keys and a ChatGPT sign-in on the free plan","Optional external agents such as Claude Code, Codex, and Copilot over the Agent Client Protocol, from an in-editor registry","Terminal Threads that run any command-line agent as a managed sidebar thread","Parallel agent threads across projects and git worktrees","SSH remote development, with code, terminals, and language servers on a server",[19,20,21,22,23],"Adding Claude Code, Codex, or Copilot and trying them on the same task without switching editors","Keeping an editor fast on a large codebase while an agent works in the sidebar","Running the Zed Agent on your own API keys or a ChatGPT plan instead of another subscription","Editing a project that lives on a server, with builds and tests running there","Pairing with a teammate in a shared project while an agent drafts the next change",[25,26,27,28],"Fast startup and low memory use next to Electron-based editors","Many vendors' agents in one editor, with no lock-in to one agent or model","Open source, and free to use with your own keys or external agents","Collaboration and remote development are built in rather than added through extensions",[30,31,32,33],"No hosted cloud agents or phone access; the laptop has to stay on while Zed's agent works","A smaller extension ecosystem than VS Code, and a different keymap and settings to learn","Each external agent needs its own subscription, and Claude over the Agent Client Protocol bills at API rates","Zed's profiles and skills apply to the Zed Agent only, not to external agent threads",null,{"popularity":36,"learning_curve":39,"flexibility":42,"performance":45,"portability":48},{"score":37,"reasoning":38},3,"A well-known editor with an active open-source community and a strong following among performance-minded developers, though its user base trails Cursor and VS Code by a wide margin.",{"score":40,"reasoning":41},2,"Opening a project and chatting with the agent is immediate, but Zed's own keymap and settings, model providers, external agents, and their separate sign-ins take some setting up.",{"score":43,"reasoning":44},5,"Six model families plus local models for its own agent, dozens of external agents over the Agent Client Protocol, any CLI in a Terminal Thread, MCP, and SSH remote development, all in an open-source editor.",{"score":46,"reasoning":47},4,"A native, GPU-rendered editor that stays fast on large codebases, while agent speed still tracks the chosen model and nothing runs once the laptop is off.",{"score":43,"reasoning":49},"Open source under GPL-3.0, plain files and git history, no lock-in to an agent or model, and the same agents run in other editors and terminals.",{"agent_framework":51,"vector_db":55,"database":59,"orm":63,"authentication":67,"analytics":71,"model_inference":75,"coding_agent":79,"llm":83,"language":260,"frontend_framework":264,"cms":268,"hosting":272,"reverse_proxy":276,"self_hosted_paas":280,"version_control":284},{"name":34,"tools":52,"descriptions":53,"aliases":54,"see_all":34},[],{},{},{"name":34,"tools":56,"descriptions":57,"aliases":58,"see_all":34},[],{},{},{"name":34,"tools":60,"descriptions":61,"aliases":62,"see_all":34},[],{},{},{"name":34,"tools":64,"descriptions":65,"aliases":66,"see_all":34},[],{},{},{"name":34,"tools":68,"descriptions":69,"aliases":70,"see_all":34},[],{},{},{"name":34,"tools":72,"descriptions":73,"aliases":74,"see_all":34},[],{},{},{"name":34,"tools":76,"descriptions":77,"aliases":78,"see_all":34},[],{},{},{"name":34,"tools":80,"descriptions":81,"aliases":82,"see_all":34},[],{},{},{"name":84,"tools":85,"descriptions":249,"aliases":256,"see_all":257},"LLM",[86,125,147,169,205,226],{"tool_id":87,"name":88,"slug":89,"tooltip_description":90,"logo_url":91,"logo_bg":92,"pricing_model":93,"learning_curve_score":40,"popularity_score":43,"hosting_assignment_type":34,"hosting_provider_restriction":97,"hosting_target_restriction":97,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":98,"subcategory":101,"categories":105,"subcategories":108,"flexibility_score":46,"performance_score":43,"portability_score":37,"is_featured":110,"tags":111,"score_reasonings":117,"published_date":123,"last_updated_date":124},153,"Claude","claude","Anthropic's family of AI models, from fast Haiku to frontier Fable, available through the Claude API, Amazon Bedrock, Google Vertex AI, Microsoft Foundry, and claude.ai, known for long context, tool use, and adaptive thinking.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fclaude.svg","dark",{"slug":94,"display_name":95,"description":96},"usage_based","Usage-Based","Pricing scales with consumption: API calls, data volume, compute time, or similar metered units.","open",{"category_id":99,"name":84,"slug":100},19,"llm",{"subcategory_id":102,"name":103,"slug":104},51,"Proprietary","proprietary",[106],{"category_id":99,"name":84,"slug":100,"is_primary":3,"display_order":107},0,[109],{"subcategory_id":102,"name":103,"slug":104,"category_id":99,"is_primary":3,"display_order":107},false,[112],{"tag_id":113,"name":114,"slug":115,"tag_type":116},40,"Web","web","platform",{"learning_curve":118,"flexibility":119,"performance":120,"popularity":121,"portability":122},"The Anthropic API follows the standard messages array pattern familiar from other LLM providers. Python and TypeScript SDKs are well-documented. Basic integration takes under an hour.","Supports tool use, vision, extended thinking, prompt caching, batch processing, streaming, and system prompts. No fine-tuning and no image output limits the ceiling. Multi-cloud availability adds operational flexibility.","Claude 4 Opus and Sonnet 4 are at the frontier of reasoning and coding benchmarks as of 2025. Extended thinking mode significantly improves accuracy on hard problems. Competitive with GPT-4o and Gemini Ultra across most evaluation suites.","Claude is one of the two or three most-referenced LLMs in developer communities worldwide. Massive adoption via Claude.ai, API, Bedrock, and Vertex AI. Powers Claude Code, Cursor (optional model), and many third-party AI products.","Anthropic API uses its own message format and tool-calling schema — not OpenAI-compatible. Migrating to\u002Ffrom Claude requires prompt and schema rewrites. Available on Bedrock and Vertex AI reduces infrastructure lock-in but does not eliminate model lock-in.","2026-05-29","2026-10-02",{"tool_id":126,"name":127,"slug":128,"tooltip_description":129,"logo_url":130,"logo_bg":131,"pricing_model":132,"learning_curve_score":40,"popularity_score":43,"hosting_assignment_type":34,"hosting_provider_restriction":97,"hosting_target_restriction":97,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":133,"subcategory":134,"categories":135,"subcategories":137,"flexibility_score":37,"performance_score":43,"portability_score":40,"is_featured":110,"tags":139,"score_reasonings":141,"published_date":123,"last_updated_date":124},155,"OpenAI","openai","OpenAI's API platform for the GPT-6 family (Astra, Sol, Luna), plus real-time voice, image generation, transcription, and embeddings, with built-in tools, structured outputs, and agent-building APIs.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fopenai.svg","white",{"slug":94,"display_name":95,"description":96},{"category_id":99,"name":84,"slug":100},{"subcategory_id":102,"name":103,"slug":104},[136],{"category_id":99,"name":84,"slug":100,"is_primary":3,"display_order":107},[138],{"subcategory_id":102,"name":103,"slug":104,"category_id":99,"is_primary":3,"display_order":107},[140],{"tag_id":113,"name":114,"slug":115,"tag_type":116},{"performance":142,"popularity":143,"portability":144,"learning_curve":145,"flexibility":146},"Leads or co-leads industry benchmarks across coding (SWE-bench), reasoning (MATH, GPQA), and instruction-following. o3 and GPT-5 are best-in-class for their respective task types as of 2026.","The most-used LLM API in the world by developer count, third-party integrations, and mindshare. ChatGPT's cultural reach directly drives API adoption. Virtually every developer tool, no-code platform, and enterprise software suite lists OpenAI as a primary integration.","Entirely cloud-bound; no self-hosted option. The API is proprietary — migrating to a different provider requires rewriting prompt logic, tool schemas, and API call structure. Azure and Bedrock availability reduces cloud lock-in but not provider lock-in.","The Chat Completions API is one of the most beginner-friendly interfaces in software — a single POST request with a messages array returns a completion. Official SDKs for Python and Node ship with comprehensive docs and hundreds of cookbook examples. The main learning curve is choosing the right model family and managing costs rather than the API mechanics themselves.","OpenAI offers genuine breadth — five model families, fine-tuning (supervised + reinforcement), function calling, structured outputs, and real-time audio. However, all inference is cloud-only and proprietary; you cannot swap the underlying model weights, run locally, or choose your hardware. Compared to open-weight alternatives, customisation stops at fine-tuning.",{"tool_id":148,"name":149,"slug":150,"tooltip_description":151,"logo_url":152,"logo_bg":92,"pricing_model":153,"learning_curve_score":40,"popularity_score":46,"hosting_assignment_type":34,"hosting_provider_restriction":97,"hosting_target_restriction":97,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":154,"subcategory":155,"categories":156,"subcategories":158,"flexibility_score":46,"performance_score":43,"portability_score":40,"is_featured":110,"tags":160,"score_reasonings":162,"published_date":123,"last_updated_date":168},159,"Google Gemini","google-gemini","Google's LLM API with a full model family, from low-cost Flash-Lite to the Gemini 3.1 Pro flagship, with 1M-token context, native multimodal input, a free tier in AI Studio, and enterprise access through Google Cloud.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fgoogle-gemini.svg",{"slug":94,"display_name":95,"description":96},{"category_id":99,"name":84,"slug":100},{"subcategory_id":102,"name":103,"slug":104},[157],{"category_id":99,"name":84,"slug":100,"is_primary":3,"display_order":107},[159],{"subcategory_id":102,"name":103,"slug":104,"category_id":99,"is_primary":3,"display_order":107},[161],{"tag_id":113,"name":114,"slug":115,"tag_type":116},{"learning_curve":163,"flexibility":164,"performance":165,"popularity":166,"portability":167},"Getting started is exceptionally frictionless — Google AI Studio requires only a Google account, no billing setup. The API follows standard REST conventions with well-maintained Python and JavaScript SDKs. The learning curve is low for basic usage; more advanced features like Vertex AI agent orchestration, grounding configuration, and context caching add moderate complexity.","Broad model selection (Flash-Lite to 3.1 Pro), native multimodal capabilities, function calling, structured output, code execution, and grounding with Search cover a wide range of use cases. Vertex AI adds fine-tuning and custom grounding sources. The main flexibility constraint is that all models are proprietary and cloud-hosted — no self-hosting or weights access.","Gemini 3.1 Pro leads on ARC-AGI-2 (77.1%) and outperforms GPT-5.4 on GPQA Diamond. Gemini 2.5 Flash consistently benchmarks near the top of its price tier. The 1M+ token context window is unmatched for long-document tasks. Competitive with the best frontier models across reasoning, code, and multimodal tasks as of 2026.","750M+ consumer Gemini users by early 2026 and 13M developers reported building with Google's generative models. API request volume hit 85B in January 2026 (142% YoY growth). Strong and accelerating, but OpenAI maintains a larger developer ecosystem and ChatGPT holds ~65% consumer chatbot market share vs Gemini's ~21%.","Deeply tied to Google infrastructure — the API is available only through Google AI Studio or Vertex AI (GCP). No open weights, no self-hosting, no third-party deployment. Moving workloads to another provider requires prompt re-testing and SDK changes. Vertex AI features (grounding, residency controls, agent orchestration) deepen GCP lock-in further.","2026-09-27",{"tool_id":170,"name":171,"slug":172,"tooltip_description":173,"logo_url":174,"logo_bg":92,"pricing_model":175,"learning_curve_score":37,"popularity_score":43,"hosting_assignment_type":34,"hosting_provider_restriction":97,"hosting_target_restriction":97,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":179,"subcategory":180,"categories":184,"subcategories":186,"flexibility_score":43,"performance_score":43,"portability_score":43,"is_featured":110,"tags":188,"score_reasonings":199,"published_date":123,"last_updated_date":168},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":176,"display_name":177,"description":178},"freemium","Freemium","A free tier is available; additional features, usage limits, or managed hosting require a paid plan.",{"category_id":99,"name":84,"slug":100},{"subcategory_id":181,"name":182,"slug":183},52,"Open-weight","open-weight",[185],{"category_id":99,"name":84,"slug":100,"is_primary":3,"display_order":107},[187],{"subcategory_id":181,"name":182,"slug":183,"category_id":99,"is_primary":3,"display_order":107},[189,194,198],{"tag_id":190,"name":191,"slug":192,"tag_type":193},11,"Open Source","open-source","feature",{"tag_id":195,"name":196,"slug":197,"tag_type":193},12,"Self-hostable","self-hostable",{"tag_id":113,"name":114,"slug":115,"tag_type":116},{"learning_curve":200,"popularity":201,"portability":202,"flexibility":203,"performance":204},"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. Exceptional especially on coding tasks.",{"tool_id":206,"name":207,"slug":208,"tooltip_description":209,"logo_url":210,"logo_bg":131,"pricing_model":211,"learning_curve_score":40,"popularity_score":37,"hosting_assignment_type":34,"hosting_provider_restriction":97,"hosting_target_restriction":97,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":212,"subcategory":213,"categories":214,"subcategories":216,"flexibility_score":37,"performance_score":46,"portability_score":40,"is_featured":110,"tags":218,"score_reasonings":220,"published_date":123,"last_updated_date":168},160,"Grok","grok","SpaceXAI's (formerly xAI) family of large language models, led by Grok 4.7, with real-time X data access, Grok Imagine image and video generation, and voice models, available through its API, grok.com, and X subscriptions.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fgrok.svg",{"slug":94,"display_name":95,"description":96},{"category_id":99,"name":84,"slug":100},{"subcategory_id":102,"name":103,"slug":104},[215],{"category_id":99,"name":84,"slug":100,"is_primary":3,"display_order":107},[217],{"subcategory_id":102,"name":103,"slug":104,"category_id":99,"is_primary":3,"display_order":107},[219],{"tag_id":113,"name":114,"slug":115,"tag_type":116},{"learning_curve":221,"flexibility":222,"performance":223,"popularity":224,"portability":225},"The xAI API is OpenAI SDK-compatible — developers who know the OpenAI messages format only need to change the base URL and API key. Documentation is clear and concise.","Strong model range (mini to heavy), reasoning modes, tool use, vision, and image generation. Real-time X data access is a flexible differentiator for many use cases. However, no fine-tuning, no multi-cloud hosting, and per-call tool fees add friction.","Grok 4 and Grok 4 Heavy are competitive at the frontier on reasoning and coding benchmarks. Grok 3 Mini Reasoning (high) punches above its price point. The 2M-token context window on Grok 4.1 Fast is industry-leading. Slightly behind Claude Opus 4 and GPT-4o on some evals as of May 2026.","X platform integration gives Grok massive consumer reach, but the developer API ecosystem is smaller than OpenAI or Anthropic. Growing fast but still behind in GitHub integrations, third-party tooling, and community resources.","Proprietary model accessed exclusively via the xAI API (api.x.ai). Not available on AWS Bedrock, Google Vertex, or Azure. OpenAI SDK compatibility reduces code-level lock-in, but the models themselves cannot be self-hosted or migrated to another provider.",{"tool_id":227,"name":228,"slug":229,"tooltip_description":230,"logo_url":231,"logo_bg":131,"pricing_model":232,"learning_curve_score":40,"popularity_score":46,"hosting_assignment_type":34,"hosting_provider_restriction":97,"hosting_target_restriction":97,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":233,"subcategory":234,"categories":235,"subcategories":237,"flexibility_score":43,"performance_score":46,"portability_score":43,"is_featured":3,"tags":239,"score_reasonings":243,"published_date":123,"last_updated_date":168},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":176,"display_name":177,"description":178},{"category_id":99,"name":84,"slug":100},{"subcategory_id":181,"name":182,"slug":183},[236],{"category_id":99,"name":84,"slug":100,"is_primary":3,"display_order":107},[238],{"subcategory_id":181,"name":182,"slug":183,"category_id":99,"is_primary":3,"display_order":107},[240,241,242],{"tag_id":190,"name":191,"slug":192,"tag_type":193},{"tag_id":195,"name":196,"slug":197,"tag_type":193},{"tag_id":113,"name":114,"slug":115,"tag_type":116},{"learning_curve":244,"flexibility":245,"performance":246,"popularity":247,"portability":248},"The la Plateforme API is OpenAI-compatible, so any developer already familiar with the OpenAI Python SDK can switch with a one-line URL change. Running open-weight models locally via Ollama is also beginner-friendly. The main complexity is the breadth of model choices and understanding trade-offs between MoE and dense architectures.","Unmatched spectrum — from 3B edge models to 675B MoE frontier models; open-weight for full fine-tuning and self-hosting; API for managed access; third-party cloud for enterprise compliance. Codestral covers code, Mathstral covers math, Pixtral covers vision. Configurable reasoning effort in Small 4. Few LLM families offer this range.","Mixtral MoE models punch well above their weight in inference efficiency. Mistral Large 3 is competitive with frontier models on benchmarks. However, on raw capability benchmarks the top Mistral models are generally tier-2 behind GPT-4o and Claude Opus. The efficiency advantage is real and often decisive for cost-sensitive deployments.","Mistral 7B and Mixtral 8x7B were among the most downloaded open-weight models of 2023-2024. The lab is widely recognised as Europe's premier LLM provider, has $14B valuation, and models are available on every major cloud. Strong in enterprise and research circles.","Open-weight models are maximally portable — download once, run anywhere, no ongoing API dependency. Apache 2.0 permits commercial use and modification. Proprietary models (Mistral Large, Pixtral Large) carry some lock-in, but the API is OpenAI-compatible so switching costs are low.",{"claude":250,"openai":251,"google-gemini":252,"deepseek":253,"grok":254,"mistral":255},"Claude is the default here for the Zed Agent, a common pick for large multi-file changes. As a Zed-hosted model on Pro, Sonnet 5.5 costs $2.20 in and $11 out per million tokens and Opus 5.5 $4.40 and $22; an Anthropic API key bills Anthropic's own rates. A Claude Pro or Max plan reaches Zed only through Claude Code.","OpenAI's GPT models are Zed-hosted on Pro, and the trial runs GPT-6 Luna at $0.11 in and $0.55 out per million tokens, a cheap model for focused edits. A ChatGPT Plus or Pro sign-in also works as a provider for the Zed Agent, with no API key, or an OpenAI key bills per token.","Gemini is the third Zed-hosted family, and its long context suits questions that span a whole repository. On your own key, Gemini 3.1 Pro costs $2 in and $12 out per million tokens up to 200K, and the Flash models much less for everyday edits.","DeepSeek connects to the Zed Agent with a DeepSeek API key, and Zed's own guidance names it as a cheaper route for Claude users. V4.1-Flash costs $0.15 in and $0.60 out per million tokens off-peak, double at weekday peak hours, which makes long agent sessions cheap.","Grok connects through an xAI API key, billed per token: Grok 4.7 costs $2 in and $6 out per million tokens with a 500K context. The same key pairs with Grok Build if it runs as an external agent, though a SuperGrok plan only covers Grok Build, not the Zed Agent.","Mistral connects with a Mistral API key: Medium 3.5, tuned for agentic and coding work, costs $1.50 in and $7.50 out per million tokens, and Small 4 $0.15 and $0.60. Its free Experiment tier is enough to try it, and the weights are open for self-hosting.",{},{"kind":258,"slug":100,"name":84,"href":259},"category","\u002Ftools\u002Fcategories\u002Fllm",{"name":34,"tools":261,"descriptions":262,"aliases":263,"see_all":34},[],{},{},{"name":34,"tools":265,"descriptions":266,"aliases":267,"see_all":34},[],{},{},{"name":34,"tools":269,"descriptions":270,"aliases":271,"see_all":34},[],{},{},{"name":34,"tools":273,"descriptions":274,"aliases":275,"see_all":34},[],{},{},{"name":34,"tools":277,"descriptions":278,"aliases":279,"see_all":34},[],{},{},{"name":34,"tools":281,"descriptions":282,"aliases":283,"see_all":34},[],{},{},{"name":285,"tools":286,"descriptions":345,"aliases":348,"see_all":34},"Version Control",[287,322],{"tool_id":288,"name":289,"slug":290,"tooltip_description":291,"logo_url":292,"logo_bg":131,"pricing_model":293,"learning_curve_score":37,"popularity_score":43,"hosting_assignment_type":34,"hosting_provider_restriction":97,"hosting_target_restriction":97,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":294,"subcategory":298,"categories":301,"subcategories":303,"flexibility_score":46,"performance_score":37,"portability_score":40,"is_featured":110,"tags":305,"score_reasonings":316,"published_date":123,"last_updated_date":168},151,"GitHub","github","The largest Git hosting platform, where well over 100 million developers collaborate, review code, and manage projects through pull requests, issues, and a large integration ecosystem.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fgithub.svg",{"slug":176,"display_name":177,"description":178},{"category_id":295,"name":296,"slug":297},8,"Development Tools","development-tools",{"subcategory_id":299,"name":285,"slug":300},50,"version-control",[302],{"category_id":295,"name":296,"slug":297,"is_primary":3,"display_order":107},[304],{"subcategory_id":299,"name":285,"slug":300,"category_id":295,"is_primary":3,"display_order":107},[306,311,315],{"tag_id":307,"name":308,"slug":309,"tag_type":310},36,"CI\u002FCD","ci-cd","use_case",{"tag_id":312,"name":313,"slug":314,"tag_type":193},13,"Free Tier","free-tier",{"tag_id":113,"name":114,"slug":115,"tag_type":116},{"learning_curve":317,"flexibility":318,"performance":319,"popularity":320,"portability":321},"GitHub's UI is intuitive, but mastering Git concepts (rebasing, merge conflicts, branching strategies) and collaborative pull request workflows takes meaningful time — rated moderate difficulty.","Highly customisable branch protection, review policies, webhooks, and an extensive API\u002Fapp ecosystem. 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.",{"tool_id":323,"name":324,"slug":325,"tooltip_description":326,"logo_url":327,"logo_bg":131,"pricing_model":328,"learning_curve_score":40,"popularity_score":46,"hosting_assignment_type":34,"hosting_provider_restriction":97,"hosting_target_restriction":97,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":329,"subcategory":330,"categories":331,"subcategories":333,"flexibility_score":43,"performance_score":37,"portability_score":43,"is_featured":110,"tags":335,"score_reasonings":339,"published_date":123,"last_updated_date":168},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":176,"display_name":177,"description":178},{"category_id":295,"name":296,"slug":297},{"subcategory_id":299,"name":285,"slug":300},[332],{"category_id":295,"name":296,"slug":297,"is_primary":3,"display_order":107},[334],{"subcategory_id":299,"name":285,"slug":300,"category_id":295,"is_primary":3,"display_order":107},[336,337,338],{"tag_id":312,"name":313,"slug":314,"tag_type":193},{"tag_id":195,"name":196,"slug":197,"tag_type":193},{"tag_id":113,"name":114,"slug":115,"tag_type":116},{"learning_curve":340,"flexibility":341,"performance":342,"popularity":343,"portability":344},"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":346,"gitlab":347},"GitHub is the default here, where most repositories, AI reviewers, and the agents' own cloud features live: Codex cloud tasks and Copilot's cloud agent both work from GitHub. Zed's Git panel stages, commits, and pushes to it like any remote.","GitLab bundles source control, merge requests, and CI\u002FCD in one platform you can self-host. Zed and the agents it hosts only need git, so a GitLab remote works the same in the editor; some agents' cloud features are GitHub-first.",{},{"server":350,"remote_access":478,"coding_agent":512,"code_review":645,"model_inference":726,"ci_cd":824,"containerization":892},{"name":351,"tools":352,"descriptions":469,"aliases":474,"preface":475,"see_all":476},"Server",[353,385,423,445],{"tool_id":181,"name":354,"slug":355,"tooltip_description":356,"logo_url":357,"logo_bg":131,"pricing_model":358,"learning_curve_score":40,"popularity_score":37,"hosting_assignment_type":34,"hosting_provider_restriction":97,"hosting_target_restriction":97,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":362,"subcategory":365,"categories":369,"subcategories":371,"flexibility_score":37,"performance_score":46,"portability_score":46,"is_featured":110,"tags":373,"score_reasonings":379,"published_date":123,"last_updated_date":168},"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":359,"display_name":360,"description":361},"paid","Paid","No meaningful free tier — a subscription or one-time purchase is required to use the tool.",{"category_id":43,"name":363,"slug":364},"Hosting & Cloud","hosting-cloud",{"subcategory_id":366,"name":367,"slug":368},42,"VPS & Servers","vps-and-servers",[370],{"category_id":43,"name":363,"slug":364,"is_primary":3,"display_order":107},[372],{"subcategory_id":366,"name":367,"slug":368,"category_id":43,"is_primary":3,"display_order":107},[374,375],{"tag_id":195,"name":196,"slug":197,"tag_type":193},{"tag_id":376,"name":377,"slug":378,"tag_type":193},21,"Multi-region","multi-region",{"learning_curve":380,"flexibility":381,"performance":382,"portability":383,"popularity":384},"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":386,"name":387,"slug":388,"tooltip_description":389,"logo_url":390,"logo_bg":131,"pricing_model":391,"learning_curve_score":40,"popularity_score":46,"hosting_assignment_type":34,"hosting_provider_restriction":97,"hosting_target_restriction":97,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":392,"subcategory":393,"categories":397,"subcategories":399,"flexibility_score":46,"performance_score":46,"portability_score":46,"is_featured":110,"tags":401,"score_reasonings":417,"published_date":123,"last_updated_date":168},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":94,"display_name":95,"description":96},{"category_id":43,"name":363,"slug":364},{"subcategory_id":394,"name":395,"slug":396},41,"App Hosting","app-hosting",[398],{"category_id":43,"name":363,"slug":364,"is_primary":3,"display_order":107},[400],{"subcategory_id":394,"name":395,"slug":396,"category_id":43,"is_primary":3,"display_order":107},[402,403,404,408,409,413],{"tag_id":113,"name":114,"slug":115,"tag_type":116},{"tag_id":312,"name":313,"slug":314,"tag_type":193},{"tag_id":405,"name":406,"slug":407,"tag_type":193},20,"Auto-scaling","auto-scaling",{"tag_id":376,"name":377,"slug":378,"tag_type":193},{"tag_id":410,"name":411,"slug":412,"tag_type":193},24,"Docker Compatible","docker-compatible",{"tag_id":414,"name":415,"slug":416,"tag_type":310},28,"Web Development","web-development",{"learning_curve":418,"flexibility":419,"performance":420,"popularity":421,"portability":422},"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":424,"name":425,"slug":426,"tooltip_description":427,"logo_url":428,"logo_bg":131,"pricing_model":429,"learning_curve_score":40,"popularity_score":37,"hosting_assignment_type":34,"hosting_provider_restriction":97,"hosting_target_restriction":97,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":430,"subcategory":431,"categories":432,"subcategories":434,"flexibility_score":37,"performance_score":37,"portability_score":37,"is_featured":110,"tags":436,"score_reasonings":439,"published_date":123,"last_updated_date":168},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":359,"display_name":360,"description":361},{"category_id":43,"name":363,"slug":364},{"subcategory_id":366,"name":367,"slug":368},[433],{"category_id":43,"name":363,"slug":364,"is_primary":3,"display_order":107},[435],{"subcategory_id":366,"name":367,"slug":368,"category_id":43,"is_primary":3,"display_order":107},[437,438],{"tag_id":113,"name":114,"slug":115,"tag_type":116},{"tag_id":414,"name":415,"slug":416,"tag_type":310},{"learning_curve":440,"flexibility":441,"performance":442,"popularity":443,"portability":444},"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":446,"name":447,"slug":448,"tooltip_description":449,"logo_url":450,"logo_bg":92,"pricing_model":451,"learning_curve_score":37,"popularity_score":43,"hosting_assignment_type":34,"hosting_provider_restriction":97,"hosting_target_restriction":97,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":452,"subcategory":453,"categories":457,"subcategories":459,"flexibility_score":46,"performance_score":40,"portability_score":37,"is_featured":110,"tags":461,"score_reasonings":463,"published_date":168,"last_updated_date":34},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":359,"display_name":360,"description":361},{"category_id":43,"name":363,"slug":364},{"subcategory_id":454,"name":455,"slug":456},61,"Hardware","hardware",[458],{"category_id":43,"name":363,"slug":364,"is_primary":3,"display_order":107},[460],{"subcategory_id":454,"name":455,"slug":456,"category_id":43,"is_primary":3,"display_order":107},[462],{"tag_id":195,"name":196,"slug":197,"tag_type":193},{"learning_curve":464,"flexibility":465,"performance":466,"popularity":467,"portability":468},"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":470,"digitalocean":471,"hostinger":472,"raspberry-pi":473},"Hetzner is the default here: CX23 has 4 GB of RAM for about €5.49\u002Fmo, room for Zed's remote server plus the project's language servers, builds, and a command-line agent. Zed documents no memory minimum; heavy language servers want more. A plain VPS billed hourly up to a monthly cap.","DigitalOcean's 4 GB Droplet is $24\u002Fmo, several times Hetzner's price for the same memory, in exchange for simple snapshots, many regions, and 1-Click images with agents such as Codex CLI and OpenCode preinstalled for a Terminal Thread to use.","Hostinger's KVM 1 has 4 GB of RAM at $6.49\u002Fmo introductory, renewing at $11.99\u002Fmo, enough for Zed's remote server and language servers on a mid-sized project. Its Claude Code template preinstalls the CLI for a Terminal Thread on that server.","A Raspberry Pi 5 is a one-time hardware cost instead of a monthly bill. Zed's remote server supports Linux on arm64, so a 4 GB board hosts a small project, while 8 GB leaves room for heavier language servers and builds.",{},"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":258,"slug":364,"name":363,"href":477},"\u002Ftools\u002Fcategories\u002Fhosting-cloud",{"name":479,"tools":480,"descriptions":508,"aliases":510,"preface":511,"see_all":34},"Remote Access",[481],{"tool_id":482,"name":483,"slug":484,"tooltip_description":485,"logo_url":486,"logo_bg":131,"pricing_model":487,"learning_curve_score":40,"popularity_score":46,"hosting_assignment_type":34,"hosting_provider_restriction":97,"hosting_target_restriction":97,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":488,"subcategory":491,"categories":495,"subcategories":497,"flexibility_score":46,"performance_score":46,"portability_score":37,"is_featured":110,"tags":499,"score_reasonings":502,"published_date":168,"last_updated_date":34},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":176,"display_name":177,"description":178},{"category_id":195,"name":489,"slug":490},"DevOps & CI\u002FCD","devops-cicd",{"subcategory_id":492,"name":493,"slug":494},70,"Tunneling & Secure Access","tunneling-secure-access",[496],{"category_id":195,"name":489,"slug":490,"is_primary":3,"display_order":107},[498],{"subcategory_id":492,"name":493,"slug":494,"category_id":195,"is_primary":3,"display_order":107},[500,501],{"tag_id":312,"name":313,"slug":314,"tag_type":193},{"tag_id":113,"name":114,"slug":115,"tag_type":116},{"learning_curve":503,"flexibility":504,"performance":505,"popularity":506,"portability":507},"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":509},"Add Tailscale alongside a server so Zed's remote development reaches it over SSH on a private address from any network, with no port open to the 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.",{"name":513,"tools":514,"descriptions":634,"aliases":640,"preface":641,"see_all":642},"Coding Agent",[515,541,563,587,611],{"tool_id":516,"name":517,"slug":518,"tooltip_description":519,"logo_url":91,"logo_bg":92,"pricing_model":520,"learning_curve_score":37,"popularity_score":43,"hosting_assignment_type":34,"hosting_provider_restriction":97,"hosting_target_restriction":97,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":521,"subcategory":522,"categories":526,"subcategories":528,"flexibility_score":43,"performance_score":46,"portability_score":46,"is_featured":110,"tags":530,"score_reasonings":534,"published_date":123,"last_updated_date":540},16,"Claude Code","claude-code","Claude Code is Anthropic's agentic coding tool that runs in your terminal and IDEs, reads your entire codebase, edits files, runs commands, and handles git workflows through natural language. It supports multi-agent orchestration, MCP integrations, and custom automation via CLAUDE.md and hooks.",{"slug":359,"display_name":360,"description":361},{"category_id":295,"name":296,"slug":297},{"subcategory_id":523,"name":524,"slug":525},49,"AI Coding Agents","ai-coding-agents",[527],{"category_id":295,"name":296,"slug":297,"is_primary":3,"display_order":107},[529],{"subcategory_id":523,"name":524,"slug":525,"category_id":295,"is_primary":3,"display_order":107},[531],{"tag_id":516,"name":532,"slug":533,"tag_type":193},"AI-powered","ai-powered",{"learning_curve":535,"performance":536,"flexibility":537,"portability":538,"popularity":539},"Agentic CLI workflow is new for most developers; hooks, context, and permissions take time.","Lightweight terminal CLI; very responsive with no significant overhead beyond API latency.","Hooks, custom slash commands, MCP servers, and the Agent SDK provide deep extensibility.","CLI tool with standard terminal workflow; hooks and commands are reasonably portable.","The most widely discussed AI coding agent as of 2025\u002F2026; very high developer mindshare.","2026-09-30",{"tool_id":542,"name":543,"slug":544,"tooltip_description":545,"logo_url":546,"logo_bg":92,"pricing_model":547,"learning_curve_score":37,"popularity_score":46,"hosting_assignment_type":34,"hosting_provider_restriction":97,"hosting_target_restriction":97,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":548,"subcategory":549,"categories":550,"subcategories":552,"flexibility_score":37,"performance_score":43,"portability_score":40,"is_featured":110,"tags":554,"score_reasonings":557,"published_date":123,"last_updated_date":540},150,"Codex","codex","OpenAI's AI coding agent that builds features, fixes bugs, reviews code, and runs tests, either in cloud sandboxes or locally, through ChatGPT, an open-source CLI, a desktop app, and IDE extensions.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fcodex.svg",{"slug":176,"display_name":177,"description":178},{"category_id":295,"name":296,"slug":297},{"subcategory_id":523,"name":524,"slug":525},[551],{"category_id":295,"name":296,"slug":297,"is_primary":3,"display_order":107},[553],{"subcategory_id":523,"name":524,"slug":525,"category_id":295,"is_primary":3,"display_order":107},[555,556],{"tag_id":312,"name":313,"slug":314,"tag_type":193},{"tag_id":113,"name":114,"slug":115,"tag_type":116},{"learning_curve":558,"flexibility":559,"performance":560,"popularity":561,"portability":562},"Basic task creation via natural language is straightforward, but designing effective multi-step agent workflows, debugging sandbox failures, and managing parallel task coordination requires real practice. Score 3.","Cloud-first architecture limits self-hosting; task environments can be customised via setup scripts and env vars, but core agent behaviour is proprietary and not deeply configurable. Score 3.","Powered by codex-1 (o3-based), which leads SWE-bench and real-world coding benchmarks. Parallel execution eliminates sequential bottlenecks. Best-in-class for agentic coding tasks as of 2026. Score 5.","67K GitHub stars on the open-source Codex CLI within its first year; reported 2M+ weekly active users across ChatGPT plans. Strong enterprise adoption but newer than incumbents like Cursor. Score 4.","Task execution is entirely cloud-bound on OpenAI infrastructure. Generated code and PR diffs are portable, but the agent itself cannot be self-hosted or migrated to another provider. Score 2.",{"tool_id":564,"name":565,"slug":566,"tooltip_description":567,"logo_url":568,"logo_bg":131,"pricing_model":569,"learning_curve_score":40,"popularity_score":43,"hosting_assignment_type":34,"hosting_provider_restriction":97,"hosting_target_restriction":97,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":570,"subcategory":571,"categories":572,"subcategories":574,"flexibility_score":37,"performance_score":46,"portability_score":37,"is_featured":110,"tags":576,"score_reasonings":580,"published_date":168,"last_updated_date":586},194,"GitHub Copilot","github-copilot","GitHub's AI coding assistant with inline completions, chat, agent mode, and a cloud coding agent, available in major IDEs, the terminal, and a desktop app.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fgithub-copilot.svg",{"slug":176,"display_name":177,"description":178},{"category_id":295,"name":296,"slug":297},{"subcategory_id":523,"name":524,"slug":525},[573],{"category_id":295,"name":296,"slug":297,"is_primary":3,"display_order":107},[575],{"subcategory_id":523,"name":524,"slug":525,"category_id":295,"is_primary":3,"display_order":107},[577,578,579],{"tag_id":312,"name":313,"slug":314,"tag_type":193},{"tag_id":516,"name":532,"slug":533,"tag_type":193},{"tag_id":113,"name":114,"slug":115,"tag_type":116},{"learning_curve":581,"flexibility":582,"performance":583,"popularity":584,"portability":585},"Inline completions work with zero configuration the moment the extension is installed, and chat\u002Fagent mode follow the same familiar IDE-panel pattern most developers already know from other assistants.","Model selection and third-party agent integration (Claude Code, Codex) on Pro+ add real choice, but the product is still built around GitHub's own workflow and issue\u002FPR model rather than an open, swap-anything architecture.","Agent mode and the cloud coding agent handle realistic multi-file tasks well and premium-model access on higher tiers keeps pace with top-tier competitors, though the free\u002Fentry tier is noticeably more limited.","The largest installed base of any AI coding tool in the market, driven by native GitHub and VS Code distribution — no other entry in this subcategory reaches comparable scale.","Works across every major IDE, the CLI, a desktop app, and an SDK, but the deepest features assume a GitHub-hosted repo and the proprietary core cannot be self-hosted or forked the way open-source alternatives in this subcategory can.","2026-10-01",{"tool_id":588,"name":589,"slug":590,"tooltip_description":591,"logo_url":592,"logo_bg":131,"pricing_model":593,"learning_curve_score":37,"popularity_score":43,"hosting_assignment_type":34,"hosting_provider_restriction":97,"hosting_target_restriction":97,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":594,"subcategory":595,"categories":596,"subcategories":598,"flexibility_score":43,"performance_score":46,"portability_score":43,"is_featured":110,"tags":600,"score_reasonings":604,"published_date":168,"last_updated_date":610},192,"OpenCode","opencode","Open-source, model-agnostic AI coding agent for the terminal, desktop, and IDE, built by Anomaly. Connects to 75+ providers or your existing Copilot or ChatGPT subscription, with no lock-in to one model vendor.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fopencode.svg",{"slug":176,"display_name":177,"description":178},{"category_id":295,"name":296,"slug":297},{"subcategory_id":523,"name":524,"slug":525},[597],{"category_id":295,"name":296,"slug":297,"is_primary":3,"display_order":107},[599],{"subcategory_id":523,"name":524,"slug":525,"category_id":295,"is_primary":3,"display_order":107},[601,602,603],{"tag_id":190,"name":191,"slug":192,"tag_type":193},{"tag_id":312,"name":313,"slug":314,"tag_type":193},{"tag_id":516,"name":532,"slug":533,"tag_type":193},{"learning_curve":605,"flexibility":606,"performance":607,"popularity":608,"portability":609},"Getting a first session running is a quick `npm install` plus an API key, but making full use of Build\u002FPlan modes, MCP\u002FLSP integration, and choosing among 75+ providers involves more configuration surface than a single-model vendor tool.","Bring-your-own-model architecture, custom tools and plugins, configurable permissions\u002Fkeybinds\u002Fformatters, and MCP\u002FLSP support give it wide-open extensibility with essentially no imposed workflow.","Output quality tracks whichever underlying model is configured rather than a fixed baseline — with a strong model (e.g. Claude or GPT) selected, it performs competitively with leading vendor agents, but there's no single benchmark number the way there is for a single-model product.","Roughly 198K GitHub stars and 900+ contributors as of mid-2026, reported 7.5M+ monthly users — the most-starred project in the open-source AI coding agent space, ahead of every other independent (non-vendor) entrant.","MIT-licensed, installable via npm\u002FHomebrew\u002FDocker, no code stored on OpenCode's servers, and not tied to any single model provider — among the least locked-in options in the subcategory.","2026-10-12",{"tool_id":612,"name":613,"slug":614,"tooltip_description":615,"logo_url":616,"logo_bg":92,"pricing_model":617,"learning_curve_score":40,"popularity_score":40,"hosting_assignment_type":34,"hosting_provider_restriction":97,"hosting_target_restriction":97,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":618,"subcategory":619,"categories":620,"subcategories":622,"flexibility_score":37,"performance_score":46,"portability_score":624,"is_featured":110,"tags":625,"score_reasonings":627,"published_date":168,"last_updated_date":633},209,"Grok Build","grok-build","SpaceXAI's open-source (Apache 2.0) terminal coding agent, with parallel subagents that can work in isolated git worktrees, running on Grok models through a SuperGrok plan or API key, or on other providers and local inference.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fgrok-build.svg",{"slug":176,"display_name":177,"description":178},{"category_id":295,"name":296,"slug":297},{"subcategory_id":523,"name":524,"slug":525},[621],{"category_id":295,"name":296,"slug":297,"is_primary":3,"display_order":107},[623],{"subcategory_id":523,"name":524,"slug":525,"category_id":295,"is_primary":3,"display_order":107},1,[626],{"tag_id":516,"name":532,"slug":533,"tag_type":193},{"learning_curve":628,"flexibility":629,"performance":630,"popularity":631,"portability":632},"Automatic recognition of existing AGENTS.md\u002FCLAUDE.md conventions and a familiar plan\u002Freview\u002Fapprove loop make onboarding straightforward for developers coming from other CLI agents.","Headless mode, full ACP support, and worktree-isolated parallel sub-agents provide real configurability, though the underlying model and billing are fixed to xAI's own subscriptions with no bring-your-own-key path.","Backed by the frontier Grok 4.6 model with a 500K-token context window and a distinctive worktree-isolation mechanic for parallel work, though vendor-reported benchmarks place it behind Claude Code\u002FOpus 4.7 and GPT-5.5 as of evaluation.","A three-month-old beta product at time of evaluation with a subscription-gated, non-self-hostable adoption path, giving it a narrower reach than the established players in this subcategory.","Cloud-only, closed-source, and bundled exclusively into SuperGrok Heavy\u002FSuperGrok\u002FX Premium+ subscriptions, with no self-hosted or standalone API-key path. One of the least portable options in the subcategory.","2026-10-06",{"claude-code":635,"codex":636,"github-copilot":637,"opencode":638,"grok-build":639},"Add Claude Code when you want Anthropic's agent beside the Zed Agent. It runs two ways: as Claude Agent over the Agent Client Protocol, which bills Anthropic's separate Agent SDK credits at API rates, or as the claude CLI in a Terminal Thread, which keeps a Claude plan's own limits. Plans start at $20\u002Fmo.","Add Codex when you want OpenAI's agent in the editor: it installs from Zed's agent registry and signs in with a ChatGPT plan, or runs as the codex CLI in a Terminal Thread. Codex cloud tasks keep working on GitHub after Zed is closed.","Add GitHub Copilot when the team already pays for it: the Copilot agent runs over the Agent Client Protocol, and the same sign-in serves as a model provider and an edit prediction source. Copilot has a free tier and Pro at $10\u002Fmo, and its cloud agent works on GitHub issues without the editor.","Add OpenCode when you want an open-source agent that runs any provider's model on your own key, a local model included: it installs from the registry, and Zed also takes an OpenCode Zen or Go key as a model provider for the Zed Agent.","Add Grok Build when you have a SuperGrok plan or an xAI key: SpaceXAI's open-source agent runs in Zed over the Agent Client Protocol and fans larger tasks out to parallel subagents, each optionally in its own git worktree.",{},"Add a separate coding agent when you want another vendor's agent working alongside the one built into the editor, either through its own extension or in the integrated terminal.",{"kind":643,"slug":525,"name":524,"href":644},"subcategory","\u002Ftools\u002Fcategories\u002Fdevelopment-tools\u002Fai-coding-agents",{"name":646,"tools":647,"descriptions":720,"aliases":724,"preface":725,"see_all":34},"Code Review",[648,674,698],{"tool_id":649,"name":650,"slug":651,"tooltip_description":652,"logo_url":653,"logo_bg":92,"pricing_model":654,"learning_curve_score":624,"popularity_score":46,"hosting_assignment_type":34,"hosting_provider_restriction":97,"hosting_target_restriction":97,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":655,"subcategory":656,"categories":660,"subcategories":662,"flexibility_score":46,"performance_score":37,"portability_score":37,"is_featured":110,"tags":664,"score_reasonings":668,"published_date":168,"last_updated_date":34},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":176,"display_name":177,"description":178},{"category_id":295,"name":296,"slug":297},{"subcategory_id":657,"name":658,"slug":659},73,"AI Code Review","ai-code-review",[661],{"category_id":295,"name":296,"slug":297,"is_primary":3,"display_order":107},[663],{"subcategory_id":657,"name":658,"slug":659,"category_id":295,"is_primary":3,"display_order":107},[665,666,667],{"tag_id":312,"name":313,"slug":314,"tag_type":193},{"tag_id":516,"name":532,"slug":533,"tag_type":193},{"tag_id":113,"name":114,"slug":115,"tag_type":116},{"flexibility":669,"learning_curve":670,"performance":671,"popularity":672,"portability":673},"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":675,"name":676,"slug":677,"tooltip_description":678,"logo_url":679,"logo_bg":92,"pricing_model":680,"learning_curve_score":40,"popularity_score":37,"hosting_assignment_type":34,"hosting_provider_restriction":97,"hosting_target_restriction":97,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":681,"subcategory":682,"categories":683,"subcategories":685,"flexibility_score":46,"performance_score":46,"portability_score":46,"is_featured":110,"tags":687,"score_reasonings":692,"published_date":168,"last_updated_date":34},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":176,"display_name":177,"description":178},{"category_id":295,"name":296,"slug":297},{"subcategory_id":657,"name":658,"slug":659},[684],{"category_id":295,"name":296,"slug":297,"is_primary":3,"display_order":107},[686],{"subcategory_id":657,"name":658,"slug":659,"category_id":295,"is_primary":3,"display_order":107},[688,689,690,691],{"tag_id":195,"name":196,"slug":197,"tag_type":193},{"tag_id":312,"name":313,"slug":314,"tag_type":193},{"tag_id":516,"name":532,"slug":533,"tag_type":193},{"tag_id":113,"name":114,"slug":115,"tag_type":116},{"learning_curve":693,"flexibility":694,"performance":695,"popularity":696,"portability":697},"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":699,"name":700,"slug":701,"tooltip_description":702,"logo_url":703,"logo_bg":92,"pricing_model":704,"learning_curve_score":624,"popularity_score":37,"hosting_assignment_type":34,"hosting_provider_restriction":97,"hosting_target_restriction":97,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":705,"subcategory":706,"categories":707,"subcategories":709,"flexibility_score":37,"performance_score":46,"portability_score":40,"is_featured":110,"tags":711,"score_reasonings":714,"published_date":168,"last_updated_date":34},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":94,"display_name":95,"description":96},{"category_id":295,"name":296,"slug":297},{"subcategory_id":657,"name":658,"slug":659},[708],{"category_id":295,"name":296,"slug":297,"is_primary":3,"display_order":107},[710],{"subcategory_id":657,"name":658,"slug":659,"category_id":295,"is_primary":3,"display_order":107},[712,713],{"tag_id":516,"name":532,"slug":533,"tag_type":193},{"tag_id":113,"name":114,"slug":115,"tag_type":116},{"learning_curve":715,"flexibility":716,"performance":717,"popularity":718,"portability":719},"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":721,"greptile":722,"cursor-bugbot":723},"Add CodeRabbit when pull requests from several agents should get one consistent reviewer: it installs as a GitHub or GitLab app, summarizes the diff, and leaves line-level comments, with a free tier for open-source repos.","Add Greptile when review should read the whole repository rather than only the diff: it indexes the codebase so its GitHub and GitLab comments carry wider context, and a self-hosted deployment keeps the code on your own infrastructure.","Add Cursor Bugbot when a bug-focused reviewer is enough: it reviews GitHub or GitLab pull requests whichever agent wrote them, though it bills through a Cursor plan rather than a subscription of its own.",{},"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.",{"name":727,"tools":728,"descriptions":816,"aliases":820,"preface":821,"see_all":822},"Model Inference",[729,760,790],{"tool_id":730,"name":731,"slug":732,"tooltip_description":733,"logo_url":734,"logo_bg":131,"pricing_model":735,"learning_curve_score":624,"popularity_score":43,"hosting_assignment_type":736,"hosting_provider_restriction":97,"hosting_target_restriction":97,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":737,"subcategory":740,"categories":744,"subcategories":746,"flexibility_score":43,"performance_score":46,"portability_score":43,"is_featured":110,"tags":748,"score_reasonings":753,"published_date":168,"last_updated_date":759},210,"Ollama","ollama","The most widely used way to run open-weight LLMs locally — one command downloads and serves models like Llama, Qwen, DeepSeek, GLM, and MiniMax through an OpenAI-compatible API, with an optional paid Ollama Cloud tier for larger models than local hardware can handle.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Follama.svg",{"slug":176,"display_name":177,"description":178},"deployable",{"category_id":376,"name":738,"slug":739},"AI Infrastructure","ai-infrastructure",{"subcategory_id":741,"name":742,"slug":743},60,"AI Runtime & Serving","ai-runtime-serving",[745],{"category_id":376,"name":738,"slug":739,"is_primary":3,"display_order":107},[747],{"subcategory_id":741,"name":742,"slug":743,"category_id":376,"is_primary":3,"display_order":107},[749,750,751,752],{"tag_id":190,"name":191,"slug":192,"tag_type":193},{"tag_id":195,"name":196,"slug":197,"tag_type":193},{"tag_id":312,"name":313,"slug":314,"tag_type":193},{"tag_id":516,"name":532,"slug":533,"tag_type":193},{"learning_curve":754,"flexibility":755,"performance":756,"popularity":757,"portability":758},"A single install command and a single command to pull and run a model make it the lowest-friction way to try a local LLM, with no configuration required to get started.","100+ supported models, an OpenAI-compatible API for drop-in tooling reuse, and both local and cloud execution modes give it very broad applicability across workflows.","Automatic hardware tuning and support for the latest open-weight models keep it competitive for local inference, though it is not purpose-built for high-throughput production serving the way dedicated inference servers are.","The most widely used local LLM runtime by a clear margin, with 178K+ GitHub stars, 52 million monthly downloads, and 2.5 billion+ cumulative downloads.","MIT-licensed, runs on macOS, Windows, and Linux across Apple Silicon, NVIDIA, and AMD hardware, and models are entirely self-hosted with no forced cloud dependency.","2026-09-28",{"tool_id":761,"name":762,"slug":763,"tooltip_description":764,"logo_url":765,"logo_bg":92,"pricing_model":766,"learning_curve_score":624,"popularity_score":46,"hosting_assignment_type":34,"hosting_provider_restriction":97,"hosting_target_restriction":97,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":767,"subcategory":768,"categories":769,"subcategories":771,"flexibility_score":46,"performance_score":46,"portability_score":46,"is_featured":110,"tags":773,"score_reasonings":784,"published_date":586,"last_updated_date":586},299,"LM Studio","lm-studio","Desktop app for downloading and running open-weight language models locally on macOS, Windows, and Linux, with a chat interface and a local OpenAI-compatible API server. It is free for personal and work use.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Flm-studio.png",{"slug":176,"display_name":177,"description":178},{"category_id":376,"name":738,"slug":739},{"subcategory_id":741,"name":742,"slug":743},[770],{"category_id":376,"name":738,"slug":739,"is_primary":3,"display_order":107},[772],{"subcategory_id":741,"name":742,"slug":743,"category_id":376,"is_primary":3,"display_order":107},[774,775,776,780],{"tag_id":195,"name":196,"slug":197,"tag_type":193},{"tag_id":312,"name":313,"slug":314,"tag_type":193},{"tag_id":777,"name":778,"slug":779,"tag_type":310},25,"Machine Learning","machine-learning",{"tag_id":781,"name":782,"slug":783,"tag_type":116},43,"Cross-platform","cross-platform",{"learning_curve":785,"flexibility":786,"performance":787,"popularity":788,"portability":789},"A graphical installer, in-app model search, and automatic quantization choices mean a first local model runs within minutes without touching a terminal or config file.","Serves any GGUF or MLX model through OpenAI- and Anthropic-compatible APIs, SDKs, a CLI, and a headless daemon, with MCP tools and remote access through LM Link, though engine internals are not open for modification.","MLX on Apple Silicon and llama.cpp elsewhere give fast single-user inference for the hardware, while throughput for many simultaneous requests is well below datacenter engines such as vLLM.","One of the two default answers, alongside Ollama, whenever someone asks how to run an LLM locally, with a large user base on Mac and Windows beyond professional developers.","Runs on all three desktop operating systems, uses open model formats from Hugging Face, and exposes standard APIs, so models and client code move freely to Ollama or vLLM.",{"tool_id":791,"name":792,"slug":793,"tooltip_description":794,"logo_url":795,"logo_bg":131,"pricing_model":796,"learning_curve_score":37,"popularity_score":46,"hosting_assignment_type":736,"hosting_provider_restriction":97,"hosting_target_restriction":97,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":799,"subcategory":800,"categories":801,"subcategories":803,"flexibility_score":43,"performance_score":46,"portability_score":43,"is_featured":110,"tags":805,"score_reasonings":810,"published_date":124,"last_updated_date":34},303,"llama.cpp","llama-cpp","Open-source C\u002FC++ engine that runs GGUF language and vision models on CPUs, Apple Silicon, and consumer GPUs. Its llama-server binary serves them through an OpenAI-compatible API with a built-in web UI.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fllama-cpp.svg",{"slug":797,"display_name":191,"description":798},"open_source","Source code is publicly available and free to use, modify, and distribute. No paid plans from the project itself.",{"category_id":376,"name":738,"slug":739},{"subcategory_id":741,"name":742,"slug":743},[802],{"category_id":376,"name":738,"slug":739,"is_primary":3,"display_order":107},[804],{"subcategory_id":741,"name":742,"slug":743,"category_id":376,"is_primary":3,"display_order":107},[806,807,808,809],{"tag_id":190,"name":191,"slug":192,"tag_type":193},{"tag_id":195,"name":196,"slug":197,"tag_type":193},{"tag_id":777,"name":778,"slug":779,"tag_type":310},{"tag_id":781,"name":782,"slug":783,"tag_type":116},{"learning_curve":811,"flexibility":812,"performance":813,"popularity":814,"portability":815},"A one-line install and `llama serve -hf` get a model running in minutes, but getting the most out of it means picking a quantization, learning offload and context flags, and sometimes compiling for a specific GPU backend.","Exposes nearly every inference parameter, runs as a CLI, a server, or an embedded library, serves several models through router mode, and speaks both OpenAI and Anthropic API formats.","Best-in-class speed for single-user inference on consumer hardware and Apple Silicon, though batched multi-user throughput on GPU servers trails engines built for it, such as vLLM.","Around 130K GitHub stars and the engine behind much of the local AI ecosystem, well known to anyone running models locally, while developers who only call hosted APIs rarely use it directly.","MIT-licensed with no dependencies, runs on macOS, Windows, Linux, and Android across every major GPU vendor and plain CPUs, and GGUF files work in any compatible runtime.",{"ollama":817,"lm-studio":818,"llama-cpp":819},"Add Ollama to run the Zed Agent on an open model on your own machine: Zed's local-model docs list it as a provider. Raise Ollama's small default context window for agent work, and expect a coding model to want about 24 GB of graphics memory. The Local LLM Dev Stack covers the hardware and the models in full.","Add LM Studio for the same job from a desktop app: it downloads a model build sized for your memory and serves it on a local address that Zed connects to as a provider. On Apple Silicon it runs models through Apple's MLX engine. Free for personal and work use.","Add llama.cpp when you want the engine without a manager around it: Zed's local-model docs cover its server, and every setting is exposed, from the quantization to the context size. The choice for full control, with the models to manage yourself. Free, MIT licensed.",{},"Add model inference when you want an open-weight model in the mix: on your own hardware for privacy, or on a hosted inference provider for speed and low per-token prices.",{"kind":643,"slug":743,"name":742,"href":823},"\u002Ftools\u002Fcategories\u002Fai-infrastructure\u002Fai-runtime-serving",{"name":308,"tools":825,"descriptions":885,"aliases":888,"preface":889,"see_all":890},[826,859],{"tool_id":827,"name":828,"slug":829,"tooltip_description":830,"logo_url":831,"logo_bg":131,"pricing_model":832,"learning_curve_score":37,"popularity_score":43,"hosting_assignment_type":34,"hosting_provider_restriction":97,"hosting_target_restriction":97,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":833,"subcategory":834,"categories":838,"subcategories":840,"flexibility_score":43,"performance_score":46,"portability_score":46,"is_featured":110,"tags":842,"score_reasonings":853,"published_date":123,"last_updated_date":168},164,"GitHub Actions","github-actions","GitHub's integrated CI\u002FCD platform that automates build, test, and deployment workflows using YAML-based configurations. 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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":860,"name":861,"slug":862,"tooltip_description":863,"logo_url":327,"logo_bg":131,"pricing_model":864,"learning_curve_score":37,"popularity_score":46,"hosting_assignment_type":34,"hosting_provider_restriction":97,"hosting_target_restriction":97,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":865,"subcategory":866,"categories":867,"subcategories":869,"flexibility_score":43,"performance_score":37,"portability_score":37,"is_featured":110,"tags":871,"score_reasonings":879,"published_date":123,"last_updated_date":610},165,"GitLab CI\u002FCD","gitlab-cicd","GitLab's built-in CI\u002FCD system configured through .gitlab-ci.yml files stored in your repository. 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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":886,"gitlab-cicd":887},"Add GitHub Actions when every push should run the tests, so changes from the Zed Agent and the external agents meet the same checks before they merge.","Add GitLab CI\u002FCD when the project lives on GitLab: pipelines defined in a .gitlab-ci.yml file run the tests on every merge request, on GitLab's runners or your own.",{},"Add CI\u002FCD when you want a dedicated pipeline for running tests, linting, or multi-stage builds before a deploy goes out. 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Windows.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fzed.png",{"slug":176,"display_name":177,"description":178},{"category_id":295,"name":296,"slug":297},{"subcategory_id":966,"name":967,"slug":968},48,"IDEs & Editors","ides-editors",[970],{"category_id":295,"name":296,"slug":297,"is_primary":3,"display_order":107},[972],{"subcategory_id":966,"name":967,"slug":968,"category_id":295,"is_primary":3,"display_order":107},[974,975,976],{"tag_id":190,"name":191,"slug":192,"tag_type":193},{"tag_id":312,"name":313,"slug":314,"tag_type":193},{"tag_id":781,"name":782,"slug":783,"tag_type":116},{"learning_curve":978,"performance":979,"portability":980,"flexibility":981,"popularity":982},"Clean, minimal interface; immediately familiar to anyone coming from VS Code or similar editors.","Rust-based with GPU-accelerated rendering; the fastest mainstream code editor on macOS.","Open source; standard config format; easy to migrate settings and workflows.","Extension system is 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Code.",{"tool_id":288,"name":289,"slug":290,"tooltip_description":291,"logo_url":292,"logo_bg":131,"pricing_model":984,"learning_curve_score":37,"popularity_score":43,"hosting_assignment_type":34,"hosting_provider_restriction":97,"hosting_target_restriction":97,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":985,"subcategory":986,"categories":987,"subcategories":989,"flexibility_score":46,"performance_score":37,"portability_score":40,"is_featured":110,"tags":991,"score_reasonings":995,"published_date":123,"last_updated_date":168},{"slug":176,"display_name":177,"description":178},{"category_id":295,"name":296,"slug":297},{"subcategory_id":299,"name":285,"slug":300},[988],{"category_id":295,"name":296,"slug":297,"is_primary":3,"display_order":107},[990],{"subcategory_id":299,"name":285,"slug":300,"category_id":295,"is_primary":3,"display_order":107},[992,993,994],{"tag_id":307,"name":308,"slug":309,"tag_type":310},{"tag_id":312,"name":313,"slug":314,"tag_type":193},{"tag_id":113,"name":114,"slug":115,"tag_type":116},{"learning_curve":317,"flexibility":318,"performance":319,"popularity":320,"portability":321},[997],{"tool_id":87,"name":88,"slug":89,"tooltip_description":90,"logo_url":91,"logo_bg":92,"pricing_model":998,"learning_curve_score":40,"popularity_score":43,"hosting_assignment_type":34,"hosting_provider_restriction":97,"hosting_target_restriction":97,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":999,"subcategory":1000,"categories":1001,"subcategories":1003,"flexibility_score":46,"performance_score":43,"portability_score":37,"is_featured":110,"tags":1005,"score_reasonings":1007,"published_date":123,"last_updated_date":124},{"slug":94,"display_name":95,"description":96},{"category_id":99,"name":84,"slug":100},{"subcategory_id":102,"name":103,"slug":104},[1002],{"category_id":99,"name":84,"slug":100,"is_primary":3,"display_order":107},[1004],{"subcategory_id":102,"name":103,"slug":104,"category_id":99,"is_primary":3,"display_order":107},[1006],{"tag_id":113,"name":114,"slug":115,"tag_type":116},{"learning_curve":118,"flexibility":119,"performance":120,"popularity":121,"portability":122},[1009,1026,1034,1049],{"stack_id":1010,"slug":1011,"name":1012,"tagline":1013,"experience_level":1014,"project_type":34,"stack_type_slug":1015,"stack_type_icon_url":1016,"score_popularity":40,"score_learning_curve":37,"catalog_display_order":34,"published_date":34,"last_updated_date":34,"core_tool_previews":1017},231,"paseo-dev-stack","Paseo Dev Stack","Run Claude Code, Codex, and other coding agents on your own machine with Paseo and steer them from any device.","advanced","developer","https:\u002F\u002Fassets.tekyous.dev\u002Ficons\u002Fstack-types\u002Fdeveloper.svg",[1018,1023,1024,1025],{"tool_id":1019,"slug":1020,"name":1021,"logo_url":1022,"logo_bg":131},278,"paseo","Paseo","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fpaseo.svg",{"tool_id":516,"slug":518,"name":517,"logo_url":91,"logo_bg":92},{"tool_id":288,"slug":290,"name":289,"logo_url":292,"logo_bg":131},{"tool_id":87,"slug":89,"name":88,"logo_url":91,"logo_bg":92},{"stack_id":860,"slug":1027,"name":1028,"tagline":1029,"experience_level":1014,"project_type":34,"stack_type_slug":1015,"stack_type_icon_url":1016,"score_popularity":46,"score_learning_curve":37,"catalog_display_order":34,"published_date":34,"last_updated_date":34,"core_tool_previews":1030},"claude-code-dev-stack","Claude Code Dev Stack","Claude Code in the terminal, desktop app, or web, paired with Claude and the add-ons to run it anywhere.",[1031,1032,1033],{"tool_id":516,"slug":518,"name":517,"logo_url":91,"logo_bg":92},{"tool_id":288,"slug":290,"name":289,"logo_url":292,"logo_bg":131},{"tool_id":87,"slug":89,"name":88,"logo_url":91,"logo_bg":92},{"stack_id":1035,"slug":1036,"name":1037,"tagline":1038,"experience_level":1039,"project_type":34,"stack_type_slug":1015,"stack_type_icon_url":1016,"score_popularity":37,"score_learning_curve":40,"catalog_display_order":34,"published_date":34,"last_updated_date":34,"core_tool_previews":1040},230,"t3-code-dev-stack","T3 Code Dev Stack","One open-source app for Claude Code, Codex, OpenCode, and other coding agents, on desktop and mobile.","intermediate",[1041,1046,1047,1048],{"tool_id":1042,"slug":1043,"name":1044,"logo_url":1045,"logo_bg":92},276,"t3-code","T3 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workspace.",[1055,1060,1061,1062],{"tool_id":1056,"slug":1057,"name":1058,"logo_url":1059,"logo_bg":131},277,"conductor","Conductor","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fconductor.png",{"tool_id":516,"slug":518,"name":517,"logo_url":91,"logo_bg":92},{"tool_id":288,"slug":290,"name":289,"logo_url":292,"logo_bg":131},{"tool_id":87,"slug":89,"name":88,"logo_url":91,"logo_bg":92},[1064,1067,1070,1073,1076],{"question":1065,"answer":1066},"Can Zed keep working when my computer is off?","Not on its own. Zed has no hosted cloud agents and no phone app, and the Zed Agent's model calls come from the editor on your computer, so it stops when the laptop sleeps. Remote development puts the code, terminals, and language servers on a server over SSH, and a dropped connection reconnects to the same session, but the interface still runs locally. For work that continues with the laptop closed, use an agent's own cloud: Claude Code on the web, Codex cloud tasks, or Copilot's cloud agent on GitHub, then review the pull request in Zed.",{"question":1068,"answer":1069},"Which agents run which models?","The model picker belongs to the Zed Agent: it runs Zed-hosted Claude, GPT, or Gemini on Pro, or Claude, OpenAI, Gemini, DeepSeek, Grok, Mistral, or a local model on your own keys. External agents bring their own: Claude Code runs Claude on a Claude plan or Agent SDK credits, Codex runs OpenAI models on a ChatGPT plan, Copilot runs the models its plan offers, Grok Build runs Grok on SuperGrok or an xAI key and can add others in its own config, and OpenCode runs whatever provider you give it. Picking Grok here doesn't change what Grok Build runs, and the reverse.",{"question":1071,"answer":1072},"How is Zed different from VS Code with an AI extension?","Both host several vendors' agents. VS Code does it through extensions, such as Copilot, Cline, or the Claude Code and Codex extensions, in the editor with the largest extension ecosystem. Zed builds it into the editor: its own agent with a model picker, external agents over the Agent Client Protocol with a shared diff review, and Terminal Threads for anything else. Zed is faster and lighter, VS Code has more extensions and GitHub Codespaces for a browser-based editor.",{"question":1074,"answer":1075},"Should Claude Code run over ACP or in a Terminal Thread?","It changes the bill. Since Anthropic's June 2026 change, Claude Agent over the Agent Client Protocol draws on separate Agent SDK credits ($20 a month on Pro, $100 or $200 on Max) at API rates, which run out much faster than plan limits under heavy use. The claude CLI in a Terminal Thread counts against the Claude plan's normal limits. ACP gives tighter integration, with changes in Zed's diff review; the Terminal Thread keeps the plan's value.",{"question":1077,"answer":1078},"Can several agents work on the same project at once?","Yes, as separate threads, each with its own agent, and Zed scopes them to a project and a git worktree. Put agents that edit files in separate worktrees: two agents changing the same checkout at once overwrite each other's work, while research or review threads can share one. The limit is usually review rather than the editor: three agents can produce more diffs in an afternoon than one person reads closely, which is where an AI code reviewer earns its place.",{"summary":1080,"starting_cost_label":1081,"has_free_tier":3,"line_items":1082},"Zed itself is free, external agents included; Pro at $10\u002Fmonth adds unlimited edit predictions and $5 of hosted model usage, then list price plus 10%, and Business is $30 per seat. The Zed Agent can instead run on your own API keys or a ChatGPT plan. Each external agent bills through its own plan. GitHub and GitLab are free for individuals, local runtimes are free, and an optional server runs about €5.49–24\u002Fmonth.","Free to start",[1083,1086,1090,1094,1098,1102,1105],{"label":959,"cost":1084,"note":1085},"Free–$30\u002Fmo","Personal is free with 2,000 accepted edit predictions; Pro $10\u002Fmo with $5 of hosted usage, then list price +10%; Business $30\u002Fseat.",{"label":1087,"cost":1088,"note":1089},"Model API (own keys, optional)","Pay per token","Instead of Zed-hosted models: e.g. DeepSeek V4.1-Flash $0.15\u002F$0.60 per M off-peak, Grok 4.7 $2\u002F$6, Claude Sonnet 5.5 $2\u002F$10; a ChatGPT plan also works.",{"label":1091,"cost":1092,"note":1093},"Separate coding agent (optional)","Free–$200\u002Fmo","Claude Code from $20\u002Fmo (over ACP it uses Agent SDK credits at API rates); Codex and Copilot have free tiers, Copilot Pro $10\u002Fmo; Grok Build via SuperGrok $30\u002Fmo; OpenCode is free.",{"label":1095,"cost":1096,"note":1097},"Version control (GitHub or GitLab)","Free–$29\u002Fmo","Free tier covers individual devs and small teams; GitHub Team is $4\u002Fmo, GitLab Premium is $29\u002Fmo for more seats.",{"label":1099,"cost":1100,"note":1101},"Local model runtime (optional)","Free","Ollama, LM Studio, and llama.cpp are free; the cost is the hardware that runs the model.",{"label":1103,"cost":1100,"note":1104},"Remote access (optional)","Tailscale's personal tier is free.",{"label":1106,"cost":1107,"note":1108},"Server (optional)","€5.49–$24\u002Fmo","4 GB covers Zed's remote server and language servers: about €5.49 at Hetzner, $6.49 intro at Hostinger ($11.99 renewal), $24 at DigitalOcean; or a Raspberry Pi as a one-time cost.","beginner",{"title":1111,"description":1112,"og_image":34,"canonical":1113},"Zed Dev Stack: Tools, Pricing & How to Deploy | Tekyous","A fast Rust editor with its own agent, and room to add Claude Code, Codex, or others. Compare Zed Dev Stack tools, pricing & how to deploy on Tekyous.","https:\u002F\u002Ftekyous.dev\u002Fstacks\u002Fzed-dev-stack",[],1791800625064]