[{"data":1,"prerenderedAt":920},["ShallowReactive",2],{"categories-init":3,"stack-paseo-dev-stack":4},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":49,"additions":437,"option_groups":747,"multi_select_option_types":748,"tools_by_category":750,"related_stacks":818,"faqs":873,"pricing":889,"system_requirements":34,"experience_level":823,"project_type":34,"stack_type_slug":824,"stack_type_icon_url":825,"published_date":107,"last_updated_date":34,"seo_meta":916},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.","Paseo is a self-hosted, open-source **control plane for coding agents**. A daemon runs on your laptop, a home server, or a VPS and manages the official agent CLIs unmodified, with that machine's full dev environment and your existing subscriptions. Every client connects to the same daemon: desktop apps for macOS, Windows, and Linux, a web app, iOS and Android apps, and a CLI, so a session started at your desk picks up on your phone without losing state.\n\nIn this stack **agents and models are separate choices**, and both allow more than one pick. Claude Code is the default agent, with Codex, OpenCode, Pi, and Oh My Pi alongside it, and more through the Agent Client Protocol. Each agent has a home model family, but the model layer isn't welded to the agent: OpenCode, Pi, and Oh My Pi run almost any provider, and Codex can be pointed at other providers too. Optional git worktrees give parallel agents their own branches.\n\n**Paseo is built for checking in from anywhere.** Push notifications tell you when an agent needs input or finishes, and voice mode lets you steer a session by talking, with speech processed on your device by default. Paseo is free under the Apache 2.0 license, relay included, with no telemetry and no account required.\n\nThe daemon usually starts **on your own computer**, since the desktop app bundles one, and its agents pause whenever that computer sleeps. Every Paseo client talks to the daemon the same way, though, so it can **move to a Mac mini, a home server, or a VPS** with no change to the apps you use: desktop, web, and phone reach it through Paseo's free end-to-end encrypted relay with no open ports, over Tailscale or another VPN if you already run one, or through an SSH tunnel. That always-on setup is the one Paseo is designed around. CI\u002FCD is a common addition once agents open pull requests on their own.",[11,12,13,14,15,16,17],"Self-hosted daemon that runs official agent CLIs unmodified in your own dev environment","Pick one or more agents: Claude Code, Codex, OpenCode, Pi, and Oh My Pi, with more through ACP","Pick one or more models, with OpenCode, Pi, and Oh My Pi opening the layer to any provider","Desktop (macOS, Windows, Linux), web, iOS, Android, and CLI clients on the same sessions","The same apps work whether the daemon runs locally or on a server","Push notifications when an agent needs input or finishes a step","Free end-to-end encrypted relay, Tailscale or VPN, or SSH tunnel for remote access",[19,20,21,22,23],"Running agents on a home server or VPS and steering them from a phone","Starting a task at the desk and answering the agent's questions later from anywhere","Keeping every agent session and all code on hardware you control, with no vendor account","Driving an agent by voice while away from a keyboard","Mixing premium and open-weight models across several agents on one always-on machine",[25,26,27,28],"Free, Apache 2.0-licensed, fully self-hosted, with no telemetry or required account","Agents run unmodified, so each behaves exactly as it does in its own terminal","True cross-device continuity: the same session on desktop, web, phone, and CLI","Flexible remote access, from a zero-setup encrypted relay to your own Tailscale network",[30,31,32,33],"You run and maintain the daemon yourself, more setup than a desktop-only app","A smaller community and less documentation than the leading agent orchestrators","No hosted cloud, so agents running with the laptop closed need a server of your own","Every agent needs its own subscription or API key, so costs add up across providers",null,{"popularity":36,"learning_curve":39,"flexibility":42,"performance":45,"portability":47},{"score":37,"reasoning":38},2,"Paseo is a small open-source project in a young category, known mostly among developers already self-hosting their agents.",{"score":40,"reasoning":41},3,"Installing and running a daemon, choosing how clients reach it, and setting up the server's dev environment come before the first agent session, though the clients themselves are simple.",{"score":43,"reasoning":44},5,"Five named agents plus any ACP agent, a wide-open model layer, optional worktrees, and a daemon that runs on a laptop, home server, or VPS with three ways to connect.",{"score":40,"reasoning":46},"The daemon is light, and agents run with the full speed of the machine hosting them, but responsiveness from remote clients depends on the connection path.",{"score":43,"reasoning":48},"Apache 2.0-licensed and fully self-hosted, with no account or telemetry, and every agent, model, and git host underneath can be swapped.",{"database":50,"orm":54,"authentication":58,"analytics":62,"coding_agent":66,"llm":220,"language":354,"frontend_framework":358,"cms":362,"hosting":366,"reverse_proxy":370,"self_hosted_paas":374,"version_control":378},{"tools":51,"descriptions":52,"aliases":53,"see_all":34},[],{},{},{"tools":55,"descriptions":56,"aliases":57,"see_all":34},[],{},{},{"tools":59,"descriptions":60,"aliases":61,"see_all":34},[],{},{},{"tools":63,"descriptions":64,"aliases":65,"see_all":34},[],{},{},{"tools":67,"descriptions":210,"aliases":216,"see_all":217},[68,108,137,164,188],{"tool_id":69,"name":70,"slug":71,"tooltip_description":72,"logo_url":73,"logo_bg":74,"pricing_model":75,"learning_curve_score":40,"popularity_score":43,"hosting_assignment_type":34,"hosting_provider_restriction":79,"hosting_target_restriction":79,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":80,"subcategory":84,"categories":88,"subcategories":91,"flexibility_score":43,"performance_score":93,"portability_score":93,"is_featured":94,"tags":95,"score_reasonings":100,"published_date":106,"last_updated_date":107},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.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fclaude.svg","dark",{"slug":76,"display_name":77,"description":78},"freemium","Freemium","A free tier is available; additional features, usage limits, or managed hosting require a paid plan.","open",{"category_id":81,"name":82,"slug":83},8,"Development Tools","development-tools",{"subcategory_id":85,"name":86,"slug":87},49,"AI Coding Agents","ai-coding-agents",[89],{"category_id":81,"name":82,"slug":83,"is_primary":3,"display_order":90},0,[92],{"subcategory_id":85,"name":86,"slug":87,"category_id":81,"is_primary":3,"display_order":90},4,false,[96],{"tag_id":69,"name":97,"slug":98,"tag_type":99},"AI-powered","ai-powered","feature",{"learning_curve":101,"performance":102,"flexibility":103,"portability":104,"popularity":105},"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.","2026-05-29","2026-09-27",{"tool_id":109,"name":110,"slug":111,"tooltip_description":112,"logo_url":113,"logo_bg":74,"pricing_model":114,"learning_curve_score":40,"popularity_score":93,"hosting_assignment_type":34,"hosting_provider_restriction":79,"hosting_target_restriction":79,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":115,"subcategory":116,"categories":117,"subcategories":119,"flexibility_score":40,"performance_score":43,"portability_score":37,"is_featured":94,"tags":121,"score_reasonings":131,"published_date":106,"last_updated_date":107},150,"Codex","codex","OpenAI's cloud-based AI coding agent that autonomously builds features, fixes bugs, and runs tests in isolated sandboxes — available via ChatGPT, CLI, desktop app, and IDE extensions.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fcodex.svg",{"slug":76,"display_name":77,"description":78},{"category_id":81,"name":82,"slug":83},{"subcategory_id":85,"name":86,"slug":87},[118],{"category_id":81,"name":82,"slug":83,"is_primary":3,"display_order":90},[120],{"subcategory_id":85,"name":86,"slug":87,"category_id":81,"is_primary":3,"display_order":90},[122,126],{"tag_id":123,"name":124,"slug":125,"tag_type":99},13,"Free Tier","free-tier",{"tag_id":127,"name":128,"slug":129,"tag_type":130},40,"Web","web","platform",{"learning_curve":132,"flexibility":133,"performance":134,"popularity":135,"portability":136},"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":138,"name":139,"slug":140,"tooltip_description":141,"logo_url":142,"logo_bg":143,"pricing_model":144,"learning_curve_score":40,"popularity_score":43,"hosting_assignment_type":34,"hosting_provider_restriction":79,"hosting_target_restriction":79,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":145,"subcategory":146,"categories":147,"subcategories":149,"flexibility_score":43,"performance_score":93,"portability_score":43,"is_featured":94,"tags":151,"score_reasonings":158,"published_date":107,"last_updated_date":34},192,"OpenCode","opencode","Open-source, model-agnostic AI coding agent for the terminal, IDE, and desktop — the largest independent alternative to Claude Code, with no vendor lock-in to a single model provider.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fopencode.svg","white",{"slug":76,"display_name":77,"description":78},{"category_id":81,"name":82,"slug":83},{"subcategory_id":85,"name":86,"slug":87},[148],{"category_id":81,"name":82,"slug":83,"is_primary":3,"display_order":90},[150],{"subcategory_id":85,"name":86,"slug":87,"category_id":81,"is_primary":3,"display_order":90},[152,156,157],{"tag_id":153,"name":154,"slug":155,"tag_type":99},11,"Open Source","open-source",{"tag_id":123,"name":124,"slug":125,"tag_type":99},{"tag_id":69,"name":97,"slug":98,"tag_type":99},{"learning_curve":159,"flexibility":160,"performance":161,"popularity":162,"portability":163},"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.",{"tool_id":165,"name":166,"slug":167,"tooltip_description":168,"logo_url":169,"logo_bg":143,"pricing_model":170,"learning_curve_score":93,"popularity_score":93,"hosting_assignment_type":34,"hosting_provider_restriction":79,"hosting_target_restriction":79,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":173,"subcategory":174,"categories":175,"subcategories":177,"flexibility_score":43,"performance_score":93,"portability_score":43,"is_featured":94,"tags":179,"score_reasonings":182,"published_date":107,"last_updated_date":34},199,"Pi","pi-dev","Minimal, extensible open-source terminal coding agent harness — ships with just four core tools and a ~200-token system prompt, built to be shaped through TypeScript extensions rather than configured through settings.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fpi-dev.svg",{"slug":171,"display_name":154,"description":172},"open_source","Source code is publicly available and free to use, modify, and distribute. No paid plans from the project itself.",{"category_id":81,"name":82,"slug":83},{"subcategory_id":85,"name":86,"slug":87},[176],{"category_id":81,"name":82,"slug":83,"is_primary":3,"display_order":90},[178],{"subcategory_id":85,"name":86,"slug":87,"category_id":81,"is_primary":3,"display_order":90},[180,181],{"tag_id":153,"name":154,"slug":155,"tag_type":99},{"tag_id":69,"name":97,"slug":98,"tag_type":99},{"learning_curve":183,"flexibility":184,"performance":185,"popularity":186,"portability":187},"The minimal four-tool core is quick to start, but getting real value requires writing or installing extensions, skills, and prompt templates — a steeper ramp than a fully-featured agent that works well out of the box.","Built around extensibility primitives rather than fixed features — TypeScript extensions, skills, prompt templates, themes, RPC\u002FSDK embedding, and 15+ interchangeable providers make it one of the most open-ended harnesses in the subcategory.","The minimal system prompt and tool set keep token overhead low and session behavior predictable, and output quality scales directly with whichever model is configured, from frontier to cheap open-weight options.","90K+ GitHub stars reflects strong adoption within its technical, extensibility-focused niche, ahead of most other independent (non single-vendor) agents, though it targets a narrower audience than default-recommendation tools like Claude Code or OpenCode.","MIT-licensed, provider-agnostic across 15+ providers, and embeddable via SDK\u002FRPC with no default vendor lock-in — among the most portable options in the subcategory.",{"tool_id":189,"name":190,"slug":191,"tooltip_description":192,"logo_url":193,"logo_bg":143,"pricing_model":194,"learning_curve_score":40,"popularity_score":40,"hosting_assignment_type":34,"hosting_provider_restriction":79,"hosting_target_restriction":79,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":195,"subcategory":196,"categories":197,"subcategories":199,"flexibility_score":43,"performance_score":93,"portability_score":43,"is_featured":94,"tags":201,"score_reasonings":204,"published_date":107,"last_updated_date":34},207,"Oh My Pi","oh-my-pi","Feature-heavy, MIT-licensed fork of Pi by a different maintainer (can1357), with 31 built-in tools, LSP\u002FDAP integration, real browser automation, and 60+ model providers, a much fuller tool harness than Pi's own deliberately minimal core.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Foh-my-pi.svg",{"slug":171,"display_name":154,"description":172},{"category_id":81,"name":82,"slug":83},{"subcategory_id":85,"name":86,"slug":87},[198],{"category_id":81,"name":82,"slug":83,"is_primary":3,"display_order":90},[200],{"subcategory_id":85,"name":86,"slug":87,"category_id":81,"is_primary":3,"display_order":90},[202,203],{"tag_id":153,"name":154,"slug":155,"tag_type":99},{"tag_id":69,"name":97,"slug":98,"tag_type":99},{"learning_curve":205,"flexibility":206,"performance":207,"popularity":208,"portability":209},"Installation is quick via curl, Homebrew, or npm, but the large built-in tool surface (31 tools, LSP, DAP, subagents) takes more time to explore fully than a minimal single-loop agent.","60+ providers covering roughly 1,000 models, reuse of existing coding-plan subscriptions, LSP\u002FDAP integration, and parallel subagents give it very broad configurability across both model choice and workflow.","Hash-anchored edits, workspace-aware LSP refactoring, and real debugger integration (DAP) point to genuinely deeper codebase-awareness than a plain chat-and-edit loop, though output quality still depends on the model configured.","25K+ GitHub stars is solid traction for an independently-maintained fork, ahead of many single-vendor agents but still well behind OpenCode, Cline, and GitHub Copilot in overall community size.","MIT-licensed, provider-agnostic across 60+ providers including local\u002Fself-hosted options, with no default vendor lock-in required to use the core agent.",{"claude-code":211,"codex":212,"opencode":213,"pi-dev":214,"oh-my-pi":215},"Claude Code is the default agent here: Anthropic's CLI, strong at multi-file changes and a natural pick for the hardest task on the daemon. It bills through a Claude plan from $20\u002Fmonth or per token via the API. It's built for Claude models; DeepSeek and GLM publish Anthropic-compatible endpoints it can point at, outside Anthropic's support.","OpenAI's agent CLI, included with every ChatGPT plan down to the free tier. A Codex session next to Claude Code is the simplest way to compare two vendors on the same task. It defaults to OpenAI's models but officially supports other providers through its config, including OpenRouter and local models.","Open-source and model-agnostic, OpenCode lets a session run Gemini, DeepSeek, Kimi, a local model, or nearly any other provider with an API key, billed per token by that provider. The usual pick for long-running bulk work on a server, where a cheap model keeps costs down.","Pi is a deliberately minimal, model-agnostic agent harness shaped through TypeScript extensions, with any provider's key behind it. Its small footprint suits long-running sessions on a modest server, and Paseo supports it natively.","A feature-heavy fork of Pi with 31 built-in tools, LSP integration, browser automation, and 60+ model providers, for developers who want Pi's openness with far more built in. Paseo supports it natively, alongside Pi.",{"pi-dev":166},{"kind":218,"slug":87,"name":86,"href":219},"subcategory","\u002Ftools\u002Fcategories\u002Fdevelopment-tools\u002Fai-coding-agents",{"tools":221,"descriptions":344,"aliases":350,"see_all":351},[222,251,272,293,322],{"tool_id":223,"name":224,"slug":225,"tooltip_description":226,"logo_url":73,"logo_bg":74,"pricing_model":227,"learning_curve_score":37,"popularity_score":43,"hosting_assignment_type":34,"hosting_provider_restriction":79,"hosting_target_restriction":79,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":231,"subcategory":235,"categories":239,"subcategories":241,"flexibility_score":93,"performance_score":43,"portability_score":40,"is_featured":94,"tags":243,"score_reasonings":245,"published_date":106,"last_updated_date":107},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 extended thinking.",{"slug":228,"display_name":229,"description":230},"usage_based","Usage-Based","Pricing scales with consumption: API calls, data volume, compute time, or similar metered units.",{"category_id":232,"name":233,"slug":234},19,"LLM","llm",{"subcategory_id":236,"name":237,"slug":238},51,"Proprietary","proprietary",[240],{"category_id":232,"name":233,"slug":234,"is_primary":3,"display_order":90},[242],{"subcategory_id":236,"name":237,"slug":238,"category_id":232,"is_primary":3,"display_order":90},[244],{"tag_id":127,"name":128,"slug":129,"tag_type":130},{"learning_curve":246,"flexibility":247,"performance":248,"popularity":249,"portability":250},"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.",{"tool_id":252,"name":253,"slug":254,"tooltip_description":255,"logo_url":256,"logo_bg":143,"pricing_model":257,"learning_curve_score":37,"popularity_score":43,"hosting_assignment_type":34,"hosting_provider_restriction":79,"hosting_target_restriction":79,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":258,"subcategory":259,"categories":260,"subcategories":262,"flexibility_score":40,"performance_score":43,"portability_score":37,"is_featured":94,"tags":264,"score_reasonings":266,"published_date":106,"last_updated_date":107},155,"OpenAI","openai","OpenAI's API platform for the GPT-6 family (Astra, Sol, Luna), Codex coding models, real-time voice, image generation, and embeddings, with tool use, structured outputs, and fine-tuning.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fopenai.svg",{"slug":228,"display_name":229,"description":230},{"category_id":232,"name":233,"slug":234},{"subcategory_id":236,"name":237,"slug":238},[261],{"category_id":232,"name":233,"slug":234,"is_primary":3,"display_order":90},[263],{"subcategory_id":236,"name":237,"slug":238,"category_id":232,"is_primary":3,"display_order":90},[265],{"tag_id":127,"name":128,"slug":129,"tag_type":130},{"performance":267,"popularity":268,"portability":269,"learning_curve":270,"flexibility":271},"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":273,"name":274,"slug":275,"tooltip_description":276,"logo_url":277,"logo_bg":74,"pricing_model":278,"learning_curve_score":37,"popularity_score":93,"hosting_assignment_type":34,"hosting_provider_restriction":79,"hosting_target_restriction":79,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":279,"subcategory":280,"categories":281,"subcategories":283,"flexibility_score":93,"performance_score":43,"portability_score":37,"is_featured":94,"tags":285,"score_reasonings":287,"published_date":106,"last_updated_date":107},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":228,"display_name":229,"description":230},{"category_id":232,"name":233,"slug":234},{"subcategory_id":236,"name":237,"slug":238},[282],{"category_id":232,"name":233,"slug":234,"is_primary":3,"display_order":90},[284],{"subcategory_id":236,"name":237,"slug":238,"category_id":232,"is_primary":3,"display_order":90},[286],{"tag_id":127,"name":128,"slug":129,"tag_type":130},{"learning_curve":288,"flexibility":289,"performance":290,"popularity":291,"portability":292},"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.",{"tool_id":294,"name":295,"slug":296,"tooltip_description":297,"logo_url":298,"logo_bg":74,"pricing_model":299,"learning_curve_score":40,"popularity_score":43,"hosting_assignment_type":34,"hosting_provider_restriction":79,"hosting_target_restriction":79,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":300,"subcategory":301,"categories":305,"subcategories":307,"flexibility_score":43,"performance_score":43,"portability_score":43,"is_featured":94,"tags":309,"score_reasonings":316,"published_date":106,"last_updated_date":107},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":76,"display_name":77,"description":78},{"category_id":232,"name":233,"slug":234},{"subcategory_id":302,"name":303,"slug":304},52,"Open-weight","open-weight",[306],{"category_id":232,"name":233,"slug":234,"is_primary":3,"display_order":90},[308],{"subcategory_id":302,"name":303,"slug":304,"category_id":232,"is_primary":3,"display_order":90},[310,311,315],{"tag_id":153,"name":154,"slug":155,"tag_type":99},{"tag_id":312,"name":313,"slug":314,"tag_type":99},12,"Self-hostable","self-hostable",{"tag_id":127,"name":128,"slug":129,"tag_type":130},{"learning_curve":317,"popularity":318,"portability":319,"flexibility":320,"performance":321},"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":323,"name":324,"slug":325,"tooltip_description":326,"logo_url":327,"logo_bg":143,"pricing_model":328,"learning_curve_score":37,"popularity_score":40,"hosting_assignment_type":34,"hosting_provider_restriction":79,"hosting_target_restriction":79,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":329,"subcategory":330,"categories":331,"subcategories":333,"flexibility_score":93,"performance_score":43,"portability_score":93,"is_featured":94,"tags":335,"score_reasonings":338,"published_date":106,"last_updated_date":107},156,"Kimi","kimi","Moonshot AI's Kimi is a family of open-weight LLMs known for very long context, strong agentic coding, and bilingual Chinese and English performance, available as downloadable weights, a paid API, and the kimi.com assistant.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fkimi.svg",{"slug":76,"display_name":77,"description":78},{"category_id":232,"name":233,"slug":234},{"subcategory_id":302,"name":303,"slug":304},[332],{"category_id":232,"name":233,"slug":234,"is_primary":3,"display_order":90},[334],{"subcategory_id":302,"name":303,"slug":304,"category_id":232,"is_primary":3,"display_order":90},[336,337],{"tag_id":153,"name":154,"slug":155,"tag_type":99},{"tag_id":127,"name":128,"slug":129,"tag_type":130},{"performance":339,"learning_curve":340,"flexibility":341,"popularity":342,"portability":343},"Kimi K2 and K2.6 are top-tier on SWE-bench Verified and agentic coding benchmarks — competitive with GPT-4o and Claude Sonnet. K1.5 matched o1 on math at launch. 256K context is a standout for long-document tasks.","The Moonshot AI API is fully OpenAI-compatible — developers already familiar with the OpenAI SDK can switch by changing the base URL and API key. Open-weight models follow standard Hugging Face download patterns. The main friction is English documentation lagging behind Chinese-language resources.","Open-weight releases (K2, K2.5, K2.6, Kimi-VL) allow full self-hosting and customization. The managed API covers chat, vision, and tool use. No fine-tuning on the managed API limits flexibility there, but the open weights compensate. Multiple access paths (API, chat, CLI, Hugging Face).","Very popular in China with a large consumer user base on kimi.ai. Growing international profile — K2 repo reached 10.7k GitHub stars rapidly, and the Kimi K2 family is among the most downloaded on Hugging Face. Still behind Llama and GPT-series internationally.","Open-weight models are fully portable — download from Hugging Face, run on any compatible GPU infrastructure. The API uses OpenAI-compatible schema, reducing switching costs. Larger models (1T parameters) require significant hardware to self-host at full capacity.",{"claude":345,"openai":346,"google-gemini":347,"deepseek":348,"kimi":349},"Claude is the default model, the one Claude Code is built for, and a common choice for the session doing the most careful reasoning. It's also available in OpenCode, Pi, and Oh My Pi, so one Claude key or plan can back more than one session at once.","OpenAI's GPT models are Codex's home family and are also reachable through OpenCode, Pi, and Oh My Pi. Picking them alongside Claude gives a second vendor's approach to the same problem, and a ChatGPT plan covers Codex usage without per-token billing.","Gemini's long context window suits repository-wide questions and large refactors, and its Flash models are fast and cheap for routine work. In this stack it's reached through OpenCode, Pi, or Oh My Pi.","An open-weight model priced far below the premium providers per token, a good match for agents left running on a server for high-volume work like test generation. It runs through OpenCode, Pi, or Oh My Pi, or behind Claude Code via DeepSeek's Anthropic-compatible endpoint.","Moonshot's open-weight Kimi models are another budget option tuned for agentic coding, with long context for large repositories. Use them through OpenCode, Pi, or Oh My Pi.",{},{"kind":352,"slug":234,"name":233,"href":353},"category","\u002Ftools\u002Fcategories\u002Fllm",{"tools":355,"descriptions":356,"aliases":357,"see_all":34},[],{},{},{"tools":359,"descriptions":360,"aliases":361,"see_all":34},[],{},{},{"tools":363,"descriptions":364,"aliases":365,"see_all":34},[],{},{},{"tools":367,"descriptions":368,"aliases":369,"see_all":34},[],{},{},{"tools":371,"descriptions":372,"aliases":373,"see_all":34},[],{},{},{"tools":375,"descriptions":376,"aliases":377,"see_all":34},[],{},{},{"tools":379,"descriptions":433,"aliases":436,"see_all":34},[380,410],{"tool_id":381,"name":382,"slug":383,"tooltip_description":384,"logo_url":385,"logo_bg":143,"pricing_model":386,"learning_curve_score":40,"popularity_score":43,"hosting_assignment_type":34,"hosting_provider_restriction":79,"hosting_target_restriction":79,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":387,"subcategory":388,"categories":392,"subcategories":394,"flexibility_score":93,"performance_score":40,"portability_score":37,"is_featured":94,"tags":396,"score_reasonings":404,"published_date":106,"last_updated_date":107},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":76,"display_name":77,"description":78},{"category_id":81,"name":82,"slug":83},{"subcategory_id":389,"name":390,"slug":391},50,"Version Control","version-control",[393],{"category_id":81,"name":82,"slug":83,"is_primary":3,"display_order":90},[395],{"subcategory_id":389,"name":390,"slug":391,"category_id":81,"is_primary":3,"display_order":90},[397,402,403],{"tag_id":398,"name":399,"slug":400,"tag_type":401},36,"CI\u002FCD","ci-cd","use_case",{"tag_id":123,"name":124,"slug":125,"tag_type":99},{"tag_id":127,"name":128,"slug":129,"tag_type":130},{"learning_curve":405,"flexibility":406,"performance":407,"popularity":408,"portability":409},"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":411,"name":412,"slug":413,"tooltip_description":414,"logo_url":415,"logo_bg":143,"pricing_model":416,"learning_curve_score":37,"popularity_score":93,"hosting_assignment_type":34,"hosting_provider_restriction":79,"hosting_target_restriction":79,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":417,"subcategory":418,"categories":419,"subcategories":421,"flexibility_score":43,"performance_score":40,"portability_score":43,"is_featured":94,"tags":423,"score_reasonings":427,"published_date":106,"last_updated_date":107},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":76,"display_name":77,"description":78},{"category_id":81,"name":82,"slug":83},{"subcategory_id":389,"name":390,"slug":391},[420],{"category_id":81,"name":82,"slug":83,"is_primary":3,"display_order":90},[422],{"subcategory_id":389,"name":390,"slug":391,"category_id":81,"is_primary":3,"display_order":90},[424,425,426],{"tag_id":123,"name":124,"slug":125,"tag_type":99},{"tag_id":312,"name":313,"slug":314,"tag_type":99},{"tag_id":127,"name":128,"slug":129,"tag_type":130},{"learning_curve":428,"flexibility":429,"performance":430,"popularity":431,"portability":432},"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":434,"gitlab":435},"GitHub is the default here, with the largest pull-request ecosystem and the review bots and CI tools most agent workflows assume. Paseo itself works the same with any git host.","GitLab fits when source control has to be self-hosted or stay on your own infrastructure. Paseo only sees git, so agents push to GitLab exactly as they would to GitHub.",{},{"server":438,"remote_access":565,"code_review":598,"ci_cd":679},{"tools":439,"descriptions":556,"aliases":561,"preface":562,"see_all":563},[440,472,510,532],{"tool_id":302,"name":441,"slug":442,"tooltip_description":443,"logo_url":444,"logo_bg":143,"pricing_model":445,"learning_curve_score":37,"popularity_score":40,"hosting_assignment_type":34,"hosting_provider_restriction":79,"hosting_target_restriction":79,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":449,"subcategory":452,"categories":456,"subcategories":458,"flexibility_score":40,"performance_score":93,"portability_score":93,"is_featured":94,"tags":460,"score_reasonings":466,"published_date":106,"last_updated_date":107},"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":446,"display_name":447,"description":448},"paid","Paid","No meaningful free tier — a subscription or one-time purchase is required to use the tool.",{"category_id":43,"name":450,"slug":451},"Hosting & Cloud","hosting-cloud",{"subcategory_id":453,"name":454,"slug":455},42,"VPS & Servers","vps-and-servers",[457],{"category_id":43,"name":450,"slug":451,"is_primary":3,"display_order":90},[459],{"subcategory_id":453,"name":454,"slug":455,"category_id":43,"is_primary":3,"display_order":90},[461,462],{"tag_id":312,"name":313,"slug":314,"tag_type":99},{"tag_id":463,"name":464,"slug":465,"tag_type":99},21,"Multi-region","multi-region",{"learning_curve":467,"flexibility":468,"performance":469,"portability":470,"popularity":471},"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":473,"name":474,"slug":475,"tooltip_description":476,"logo_url":477,"logo_bg":143,"pricing_model":478,"learning_curve_score":37,"popularity_score":93,"hosting_assignment_type":34,"hosting_provider_restriction":79,"hosting_target_restriction":79,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":479,"subcategory":480,"categories":484,"subcategories":486,"flexibility_score":93,"performance_score":93,"portability_score":93,"is_featured":94,"tags":488,"score_reasonings":504,"published_date":106,"last_updated_date":107},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":228,"display_name":229,"description":230},{"category_id":43,"name":450,"slug":451},{"subcategory_id":481,"name":482,"slug":483},41,"App Hosting","app-hosting",[485],{"category_id":43,"name":450,"slug":451,"is_primary":3,"display_order":90},[487],{"subcategory_id":481,"name":482,"slug":483,"category_id":43,"is_primary":3,"display_order":90},[489,490,491,495,496,500],{"tag_id":127,"name":128,"slug":129,"tag_type":130},{"tag_id":123,"name":124,"slug":125,"tag_type":99},{"tag_id":492,"name":493,"slug":494,"tag_type":99},20,"Auto-scaling","auto-scaling",{"tag_id":463,"name":464,"slug":465,"tag_type":99},{"tag_id":497,"name":498,"slug":499,"tag_type":99},24,"Docker Compatible","docker-compatible",{"tag_id":501,"name":502,"slug":503,"tag_type":401},28,"Web Development","web-development",{"learning_curve":505,"flexibility":506,"performance":507,"popularity":508,"portability":509},"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":511,"name":512,"slug":513,"tooltip_description":514,"logo_url":515,"logo_bg":143,"pricing_model":516,"learning_curve_score":37,"popularity_score":40,"hosting_assignment_type":34,"hosting_provider_restriction":79,"hosting_target_restriction":79,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":517,"subcategory":518,"categories":519,"subcategories":521,"flexibility_score":40,"performance_score":40,"portability_score":40,"is_featured":94,"tags":523,"score_reasonings":526,"published_date":106,"last_updated_date":107},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":446,"display_name":447,"description":448},{"category_id":43,"name":450,"slug":451},{"subcategory_id":453,"name":454,"slug":455},[520],{"category_id":43,"name":450,"slug":451,"is_primary":3,"display_order":90},[522],{"subcategory_id":453,"name":454,"slug":455,"category_id":43,"is_primary":3,"display_order":90},[524,525],{"tag_id":127,"name":128,"slug":129,"tag_type":130},{"tag_id":501,"name":502,"slug":503,"tag_type":401},{"learning_curve":527,"flexibility":528,"performance":529,"popularity":530,"portability":531},"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":533,"name":534,"slug":535,"tooltip_description":536,"logo_url":537,"logo_bg":74,"pricing_model":538,"learning_curve_score":40,"popularity_score":43,"hosting_assignment_type":34,"hosting_provider_restriction":79,"hosting_target_restriction":79,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":539,"subcategory":540,"categories":544,"subcategories":546,"flexibility_score":93,"performance_score":37,"portability_score":40,"is_featured":94,"tags":548,"score_reasonings":550,"published_date":107,"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":446,"display_name":447,"description":448},{"category_id":43,"name":450,"slug":451},{"subcategory_id":541,"name":542,"slug":543},61,"Hardware","hardware",[545],{"category_id":43,"name":450,"slug":451,"is_primary":3,"display_order":90},[547],{"subcategory_id":541,"name":542,"slug":543,"category_id":43,"is_primary":3,"display_order":90},[549],{"tag_id":312,"name":313,"slug":314,"tag_type":99},{"learning_curve":551,"flexibility":552,"performance":553,"popularity":554,"portability":555},"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":557,"digitalocean":558,"hostinger":559,"raspberry-pi":560},"Hetzner is the default here: a 4 GB server, Claude Code's minimum for one agent, is about €5.49\u002Fmo, and 8 GB or more suits several sessions for little extra. It's a plain Linux VPS for the Paseo daemon, with data centers in Germany, Finland, the US, and Singapore to keep the relay or Tailscale connection close.","DigitalOcean's 4 GB Droplet is $24\u002Fmo and 8 GB $48\u002Fmo, more per gigabyte than Hetzner, with more regions and one-click snapshots and backups. Its 1-Click Codex CLI and OpenCode Droplets come with two of Paseo's agents installed; the $4 plan's 512 MB is too small for any agent.","Hostinger's KVM 1 has 4 GB of RAM at $6.49\u002Fmo introductory, renewing at $11.99\u002Fmo, enough for the daemon and one agent, and KVM 2 doubles the memory for more sessions. Its Claude Code VPS template preinstalls Paseo's default agent, so only the daemon is left to add.","A Raspberry Pi 5 with 4–16 GB of RAM makes a home-server host for a one-time cost instead of a monthly bill, the home-lab setup Paseo is built for, reached through Paseo's relay without opening ports. Memory caps the number of agents: 8 GB suits two or three, 16 GB a few more.",{},"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":352,"slug":451,"name":450,"href":564},"\u002Ftools\u002Fcategories\u002Fhosting-cloud",{"tools":566,"descriptions":594,"aliases":596,"preface":597,"see_all":34},[567],{"tool_id":568,"name":569,"slug":570,"tooltip_description":571,"logo_url":572,"logo_bg":143,"pricing_model":573,"learning_curve_score":37,"popularity_score":93,"hosting_assignment_type":34,"hosting_provider_restriction":79,"hosting_target_restriction":79,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":574,"subcategory":577,"categories":581,"subcategories":583,"flexibility_score":93,"performance_score":93,"portability_score":40,"is_featured":94,"tags":585,"score_reasonings":588,"published_date":107,"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":76,"display_name":77,"description":78},{"category_id":312,"name":575,"slug":576},"DevOps & CI\u002FCD","devops-cicd",{"subcategory_id":578,"name":579,"slug":580},70,"Tunneling & Secure Access","tunneling-secure-access",[582],{"category_id":312,"name":575,"slug":576,"is_primary":3,"display_order":90},[584],{"subcategory_id":578,"name":579,"slug":580,"category_id":312,"is_primary":3,"display_order":90},[586,587],{"tag_id":123,"name":124,"slug":125,"tag_type":99},{"tag_id":127,"name":128,"slug":129,"tag_type":130},{"learning_curve":589,"flexibility":590,"performance":591,"popularity":592,"portability":593},"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":595},"Add Tailscale when you'd rather reach the Paseo daemon over your own private network than through Paseo's relay. Nothing is exposed to the public internet, and the personal tier is free.",{},"Add remote access when you want to reach an agent running on another machine — a VPS or a home server — without exposing it to anyone but you.",{"tools":599,"descriptions":673,"aliases":677,"preface":678,"see_all":34},[600,627,651],{"tool_id":601,"name":602,"slug":603,"tooltip_description":604,"logo_url":605,"logo_bg":74,"pricing_model":606,"learning_curve_score":607,"popularity_score":93,"hosting_assignment_type":34,"hosting_provider_restriction":79,"hosting_target_restriction":79,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":608,"subcategory":609,"categories":613,"subcategories":615,"flexibility_score":93,"performance_score":40,"portability_score":40,"is_featured":94,"tags":617,"score_reasonings":621,"published_date":107,"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":76,"display_name":77,"description":78},1,{"category_id":81,"name":82,"slug":83},{"subcategory_id":610,"name":611,"slug":612},73,"AI Code Review","ai-code-review",[614],{"category_id":81,"name":82,"slug":83,"is_primary":3,"display_order":90},[616],{"subcategory_id":610,"name":611,"slug":612,"category_id":81,"is_primary":3,"display_order":90},[618,619,620],{"tag_id":123,"name":124,"slug":125,"tag_type":99},{"tag_id":69,"name":97,"slug":98,"tag_type":99},{"tag_id":127,"name":128,"slug":129,"tag_type":130},{"flexibility":622,"learning_curve":623,"performance":624,"popularity":625,"portability":626},"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":628,"name":629,"slug":630,"tooltip_description":631,"logo_url":632,"logo_bg":74,"pricing_model":633,"learning_curve_score":37,"popularity_score":40,"hosting_assignment_type":34,"hosting_provider_restriction":79,"hosting_target_restriction":79,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":634,"subcategory":635,"categories":636,"subcategories":638,"flexibility_score":93,"performance_score":93,"portability_score":93,"is_featured":94,"tags":640,"score_reasonings":645,"published_date":107,"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":76,"display_name":77,"description":78},{"category_id":81,"name":82,"slug":83},{"subcategory_id":610,"name":611,"slug":612},[637],{"category_id":81,"name":82,"slug":83,"is_primary":3,"display_order":90},[639],{"subcategory_id":610,"name":611,"slug":612,"category_id":81,"is_primary":3,"display_order":90},[641,642,643,644],{"tag_id":312,"name":313,"slug":314,"tag_type":99},{"tag_id":123,"name":124,"slug":125,"tag_type":99},{"tag_id":69,"name":97,"slug":98,"tag_type":99},{"tag_id":127,"name":128,"slug":129,"tag_type":130},{"learning_curve":646,"flexibility":647,"performance":648,"popularity":649,"portability":650},"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":652,"name":653,"slug":654,"tooltip_description":655,"logo_url":656,"logo_bg":74,"pricing_model":657,"learning_curve_score":607,"popularity_score":40,"hosting_assignment_type":34,"hosting_provider_restriction":79,"hosting_target_restriction":79,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":658,"subcategory":659,"categories":660,"subcategories":662,"flexibility_score":40,"performance_score":93,"portability_score":37,"is_featured":94,"tags":664,"score_reasonings":667,"published_date":107,"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":228,"display_name":229,"description":230},{"category_id":81,"name":82,"slug":83},{"subcategory_id":610,"name":611,"slug":612},[661],{"category_id":81,"name":82,"slug":83,"is_primary":3,"display_order":90},[663],{"subcategory_id":610,"name":611,"slug":612,"category_id":81,"is_primary":3,"display_order":90},[665,666],{"tag_id":69,"name":97,"slug":98,"tag_type":99},{"tag_id":127,"name":128,"slug":129,"tag_type":130},{"learning_curve":668,"flexibility":669,"performance":670,"popularity":671,"portability":672},"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":674,"greptile":675,"cursor-bugbot":676},"Add CodeRabbit when several agents are opening pull requests faster than one person can read them: it reviews every GitHub or GitLab diff with a summary and line-level comments, with a free tier for open-source repos.","Add Greptile when parallel agents produce more diffs than one person can review: it indexes the whole repository so its comments carry context beyond the changed files, and it can be self-hosted for full control.","Add Cursor Bugbot when a bug-focused reviewer is enough: it reviews GitHub or GitLab pull requests whatever wrote the code, though it bills through a Cursor account and plan rather than its own subscription.",{},"Add code review when you want an AI reading every pull request before it merges: it comments on the diff so bugs, security issues, and inconsistencies surface before a human has to catch them.",{"tools":680,"descriptions":740,"aliases":743,"preface":744,"see_all":745},[681,714],{"tool_id":682,"name":683,"slug":684,"tooltip_description":685,"logo_url":686,"logo_bg":143,"pricing_model":687,"learning_curve_score":40,"popularity_score":43,"hosting_assignment_type":34,"hosting_provider_restriction":79,"hosting_target_restriction":79,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":688,"subcategory":689,"categories":693,"subcategories":695,"flexibility_score":43,"performance_score":93,"portability_score":93,"is_featured":94,"tags":697,"score_reasonings":708,"published_date":106,"last_updated_date":107},164,"GitHub Actions","github-actions","GitHub's integrated CI\u002FCD platform that automates build, test, and deployment workflows using YAML-based configurations. Runs on GitHub-hosted or self-hosted runners with a rich marketplace of pre-built integrations.","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fgithub-actions.svg",{"slug":76,"display_name":77,"description":78},{"category_id":312,"name":575,"slug":576},{"subcategory_id":690,"name":691,"slug":692},34,"CI\u002FCD Pipelines","cicd-pipelines",[694],{"category_id":312,"name":575,"slug":576,"is_primary":3,"display_order":90},[696],{"subcategory_id":690,"name":691,"slug":692,"category_id":312,"is_primary":3,"display_order":90},[698,699,700,701,702,703],{"tag_id":123,"name":124,"slug":125,"tag_type":99},{"tag_id":312,"name":313,"slug":314,"tag_type":99},{"tag_id":127,"name":128,"slug":129,"tag_type":130},{"tag_id":398,"name":399,"slug":400,"tag_type":401},{"tag_id":497,"name":498,"slug":499,"tag_type":99},{"tag_id":704,"name":705,"slug":706,"tag_type":707},45,"Declarative","declarative","paradigm",{"flexibility":709,"learning_curve":710,"performance":711,"popularity":712,"portability":713},"Self-hosted runner support across any OS or cloud, custom labels, matrix builds, Kubernetes scaling via Actions Runner Controller, and a marketplace of thousands of community-built actions give teams virtually unlimited configuration options for any workflow or environment.","Basic single-job workflows are accessible to any developer comfortable with YAML, and GitHub's documentation lowers the barrier further. However, advanced patterns — composite actions, reusable workflows, OIDC-based cloud auth, and conditional matrix strategies — involve non-obvious syntax and a complex permission model that requires meaningful time to master.","The platform handles massive scale reliably, but GitHub-hosted runner performance can vary between runs, making consistent benchmarking difficult. Teams running on self-hosted or larger hosted runners achieve stable, high throughput; the managed offering trades predictable latency for zero infrastructure overhead.","GitHub Actions is the dominant CI\u002FCD platform with tens of millions of repositories using it, thousands of marketplace actions, and widespread enterprise adoption. It is cited as the most-used CI\u002FCD solution in multiple developer surveys.","Self-hosted runners can run on any cloud or on-premises infrastructure, and the YAML workflow model is readable and auditable. The main constraint is tight coupling to GitHub events and APIs — moving workflows to another CI\u002FCD platform requires meaningful rewriting rather than a simple lift-and-shift.",{"tool_id":715,"name":716,"slug":717,"tooltip_description":718,"logo_url":415,"logo_bg":143,"pricing_model":719,"learning_curve_score":40,"popularity_score":93,"hosting_assignment_type":34,"hosting_provider_restriction":79,"hosting_target_restriction":79,"hosting_compatible_tool_ids":34,"parent_tool_id":34,"category":720,"subcategory":721,"categories":722,"subcategories":724,"flexibility_score":43,"performance_score":40,"portability_score":40,"is_featured":94,"tags":726,"score_reasonings":734,"published_date":106,"last_updated_date":107},165,"GitLab CI\u002FCD","gitlab-cicd","GitLab's built-in CI\u002FCD system configured through .gitlab-ci.yml files stored in your repository. Supports both GitLab-hosted and self-hosted runners for flexible pipeline execution across diverse environments.",{"slug":76,"display_name":77,"description":78},{"category_id":312,"name":575,"slug":576},{"subcategory_id":690,"name":691,"slug":692},[723],{"category_id":312,"name":575,"slug":576,"is_primary":3,"display_order":90},[725],{"subcategory_id":690,"name":691,"slug":692,"category_id":312,"is_primary":3,"display_order":90},[727,728,729,730,731,732,733],{"tag_id":123,"name":124,"slug":125,"tag_type":99},{"tag_id":312,"name":313,"slug":314,"tag_type":99},{"tag_id":127,"name":128,"slug":129,"tag_type":130},{"tag_id":398,"name":399,"slug":400,"tag_type":401},{"tag_id":153,"name":154,"slug":155,"tag_type":99},{"tag_id":497,"name":498,"slug":499,"tag_type":99},{"tag_id":704,"name":705,"slug":706,"tag_type":707},{"learning_curve":735,"flexibility":736,"performance":737,"popularity":738,"portability":739},"The core .gitlab-ci.yml syntax is approachable for developers with YAML and Linux fundamentals, and GitLab's documentation is thorough. However, the platform's breadth — runner executors, pipeline inheritance, CI\u002FCD Catalog, merge trains, and security scanning configuration — creates a long tail of advanced concepts that teams discover gradually over months.","Multiple runner executor types (Docker, Kubernetes, Shell, machine), unlimited self-hosted runner capacity, parent-child pipelines, reusable CI\u002FCD Components, and the ability to self-host the entire platform give teams complete control over their pipeline environment and infrastructure.","Pipeline performance depends heavily on runner configuration and caching strategy. Shared GitLab-hosted runners can experience queue delays during peak periods, and Docker+machine executors add startup overhead. Teams running optimized self-hosted Kubernetes runners with effective caching achieve significantly faster pipelines, but the default shared experience is average for the CI\u002FCD category.","GitLab CI\u002FCD is used by over 100,000 organizations and is particularly strong among enterprises and security-conscious DevOps teams. It consistently ranks among the top CI\u002FCD platforms in developer surveys, though GitHub Actions has overtaken it in raw adoption volume — especially among open-source and smaller team segments.","GitLab CE is fully open source and self-hostable on any infrastructure, which is a strong portability advantage. However, .gitlab-ci.yml pipelines are tightly coupled to GitLab's API and runner ecosystem — migrating pipeline definitions to another CI\u002FCD system (GitHub Actions, CircleCI, etc.) requires substantial rewriting rather than a simple port.",{"github-actions":741,"gitlab-cicd":742},"Add GitHub Actions when several agents are opening pull requests at once and every branch should be tested automatically before you spend time reviewing it.","Add GitLab CI\u002FCD for the same automatic testing when the repo lives on GitLab, with pipelines defined in a .gitlab-ci.yml file that can run on your own runners.",{},"Add CI\u002FCD when you want a dedicated pipeline for running tests, linting, or multi-stage builds before a deploy goes out. Many hosting platforms already redeploy automatically on every push on their own — a CI\u002FCD tool adds the most value on top of that by gating the deploy on a passing test suite, and matters even more when the hosting choice does not auto-deploy at all, such as a self-hosted server.",{"kind":218,"slug":692,"name":691,"href":746},"\u002Ftools\u002Fcategories\u002Fdevops-cicd\u002Fcicd-pipelines",{},[234,749],"coding_agent",{"Development 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CLIs it wraps stay unmodified.","Wraps five official agent CLIs unmodified plus broader provider compatibility, pairs with git worktrees for isolation, and runs equally well on a laptop, home server, or VPS with a choice of relay, Tailscale, or direct connection for remote access.","Lightweight self-hosted daemon architecture designed for many concurrent client connections, though real-world responsiveness depends heavily on the machine and network path it's deployed on rather than a dedicated hosted backend.","Real open-source traction with double-digit-thousand GitHub stars and coverage on outlets like AlternativeTo and Gigazine, but a smaller footprint than the leading tools in this still-young subcategory and mostly known to developers already self-hosting their own tooling.","Apache 2.0-licensed and self-hosted by design, runs on a laptop, home server, or VPS, wraps multiple vendors' official CLIs unmodified, and supports several remote-access paths rather than locking into one vendor's 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Code","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Ft3-code.png",{"tool_id":69,"slug":71,"name":70,"logo_url":73,"logo_bg":74},{"tool_id":381,"slug":383,"name":382,"logo_url":385,"logo_bg":143},{"tool_id":223,"slug":225,"name":224,"logo_url":73,"logo_bg":74},{"stack_id":846,"slug":847,"name":848,"tagline":849,"experience_level":835,"project_type":34,"stack_type_slug":824,"stack_type_icon_url":825,"score_popularity":40,"score_learning_curve":37,"catalog_display_order":34,"published_date":34,"last_updated_date":34,"core_tool_previews":850},229,"conductor-dev-stack","Conductor Dev Stack","Run Claude Code, Codex, and Cursor's agent in parallel on your Mac with Conductor, each in its own workspace.",[851,856,857,858],{"tool_id":852,"slug":853,"name":854,"logo_url":855,"logo_bg":143},277,"conductor","Conductor","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Fconductor.png",{"tool_id":69,"slug":71,"name":70,"logo_url":73,"logo_bg":74},{"tool_id":381,"slug":383,"name":382,"logo_url":385,"logo_bg":143},{"tool_id":223,"slug":225,"name":224,"logo_url":73,"logo_bg":74},{"stack_id":860,"slug":861,"name":862,"tagline":863,"experience_level":823,"project_type":34,"stack_type_slug":824,"stack_type_icon_url":825,"score_popularity":40,"score_learning_curve":93,"catalog_display_order":34,"published_date":34,"last_updated_date":34,"core_tool_previews":864},227,"orca-dev-stack","Orca Dev Stack","Run Claude Code, Codex, and other coding agents side by side in Orca, each on its own branch and model.",[865,870,871,872],{"tool_id":866,"slug":867,"name":868,"logo_url":869,"logo_bg":143},255,"orca","Orca","https:\u002F\u002Fassets.tekyous.dev\u002Flogos\u002Ftools\u002Forca.png",{"tool_id":69,"slug":71,"name":70,"logo_url":73,"logo_bg":74},{"tool_id":381,"slug":383,"name":382,"logo_url":385,"logo_bg":143},{"tool_id":223,"slug":225,"name":224,"logo_url":73,"logo_bg":74},[874,877,880,883,886],{"question":875,"answer":876},"Relay, Tailscale, or direct connection: which should I use?","The relay is the easiest: the daemon connects out to Paseo's hosted relay and your devices meet it there, end-to-end encrypted, with no open ports and no network setup. Tailscale or another VPN suits anyone already running one, or who wants no third party in the path. An SSH tunnel through your own OpenSSH client works too. Exposing the daemon port directly only makes sense on a trusted local network.",{"question":878,"answer":879},"Where should the Paseo daemon run?","Wherever the agents' code and tools live, since agents work in that machine's environment. A laptop works but pauses every session when it sleeps. A home server or VPS keeps agents running around the clock, and it doesn't cost you the interface: the desktop, web, and phone apps connect to a remote daemon exactly as they do to a local one. Size it by agent count: 4 GB covers Claude Code alone, and several agents working at once need more.",{"question":881,"answer":882},"Which agents can run which models?","Most combinations work, with varying effort. OpenCode, Pi, and Oh My Pi take almost any provider's key. Codex defaults to OpenAI but officially supports other providers through its configuration, local models included. Claude Code is built for Claude, and Anthropic supports only Claude models, though DeepSeek and GLM publish Anthropic-compatible endpoints some developers point it at.",{"question":884,"answer":885},"What is ACP, and what does it add?","The Agent Client Protocol is an open standard, started by Zed, for connecting coding agents to the apps that drive them. Paseo speaks it, so agents that implement ACP can run on the daemon beyond the ones Paseo supports by name.",{"question":887,"answer":888},"How is Paseo different from Orca or T3 Code?","Orca and T3 Code are desktop-first apps that can also connect to a server. Paseo starts from the other end: a headless daemon on a machine you choose, with every client, desktop included, as a remote control for it. That makes it the most natural fit for agents on a server, and the least polished as a local desktop app.",{"summary":890,"starting_cost_label":891,"has_free_tier":3,"line_items":892},"Paseo is free and open source, relay included, so the bill is the agents and, optionally, a server. Claude Code starts at $20\u002Fmonth with no free tier, Codex has a limited free tier with Plus at $20\u002Fmonth, and both reach $200\u002Fmonth; OpenCode, Pi, and Oh My Pi are free but bill per token through the provider you connect. An always-on VPS is about €5.49\u002Fmonth for 4 GB and more for several agents; a Raspberry Pi is a one-time cost instead.","Free to start",[893,896,900,904,908,912],{"label":754,"cost":894,"note":895},"Free (open source)","Apache 2.0-licensed daemon and clients, including the end-to-end encrypted relay.",{"label":897,"cost":898,"note":899},"Coding agent subscriptions","Free–$200\u002Fmo each","Claude Code from $20\u002Fmo (no free tier); Codex free tier, Plus $20\u002Fmo; both up to $200\u002Fmo. One subscription per agent.",{"label":901,"cost":902,"note":903},"Model API usage","Pay per token","Model-agnostic agents bill per token with the provider you connect; open-weight models like DeepSeek and Kimi cost a fraction of premium ones.",{"label":905,"cost":906,"note":907},"Version control (GitHub or GitLab)","Free–$29\u002Fmo","Free tier covers individual devs; GitHub Team is $4\u002Fmo, GitLab Premium is $29\u002Fmo for more seats.",{"label":909,"cost":910,"note":911},"Remote access (optional)","Free","Tailscale's personal tier is free for up to 100 devices.",{"label":913,"cost":914,"note":915},"Server (optional)","€5.49–$48\u002Fmo","4 GB runs one agent, 8 GB or more suits several: Hetzner from €5.49, Hostinger $6.49 intro ($11.99 renewal), DigitalOcean $24–48; or a Raspberry Pi as a one-time cost.",{"title":917,"description":918,"og_image":34,"canonical":919},"Paseo Dev Stack: Tools, Pricing & How to Deploy | Tekyous","Run Claude Code, Codex, and other coding agents on your own machine with Paseo and steer the… Compare Paseo Dev Stack tools, pricing & how to deploy on Tekyous.","https:\u002F\u002Ftekyous.dev\u002Fstacks\u002Fpaseo-dev-stack",1790518905066]