Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Station is our open-source runtime that lets teams deploy agents on their own infrastructure with full control.
| Date | Stars |
|---|---|
| 2026-07-31 | 428 |
| 2026-08-06 | 428 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
 # Station - AI Agent Orchestration Platform [](./TESTING_PROGRESS.md) [](./.github/workflows/ci.yml) **Build, test, and deploy intelligent agent teams. Self-hosted. Git-backed. Production-ready.** [Quick Start](#quick-start) | [Real Example](#real-example-sre-incident-response-team) | [Deploy](#deploy-to-production) | [Documentation](https://docs.cloudshipai.com) --- ## Why Station? Build multi-agent systems that coordinate like real teams. Test with realistic scenarios. Deploy on your infrastructure. **Station gives you:** - ✅ **Multi-Agent Teams** - Coordinate specialist agents under orchestrators - ✅ **Built-in Evaluation** - LLM-as-judge tests every agent automatically - ✅ **Git-Backed Workflow** - Version control agents like code - ✅ **One-Command Deploy** - Push to production with `stn deploy` - ✅ **Full Observability** - Jaeger traces for every execution - ✅ **Self-Hosted** - Your data, your infrastructure, your control --- ## Quick Start (2 minutes) ### Prerequisites - **Docker** - Required for Jaeger (traces and observability) - **AI Provider** - Choose one: - **CloudShip AI** (Recommended) - `STN_CLOUDSHIP_KEY` or `CLOUDSHIPAI_REGISTRATION_KEY` - `OPENAI_API_KEY` - OpenAI (gpt-5-mini, gpt-5, etc.) - `GEMINI_API_KEY` - Google Gemini - `ANTHROPIC_API_KEY` - Anthropic (claude-sonnet-4-20250514, etc.) ### 1. Install Station ```bash curl -fsSL https://raw.githubusercontent.com/cloudshipai/station/main/install.sh | bash ``` ### 2. Initialize Station Choose your AI provider: <details open> <summary><b>CloudShip AI (Recommended)</b></summary> Use CloudShip AI for optimized inference with Llama and Qwen models. This is the default when a registration key is available. ```bash # Set your CloudShip registration key export CLOUDSHIPAI_REGISTRATION_KEY="csk-..." # Or use: export STN_CLOUDSHIP_KEY="csk-..." stn init --provider cloudshipai --ship # defaults to cloudship/llama-3.1-70b ``` **Available models:** - `cloudship/llama-3.1-70b` (default) - Best balance of performance and cost - `cloudship/llama-3.1-8b` - Faster, lower cost - `cloudship/qwen-72b` - Alternative large model </details> <details> <summary><b>Claude Max/Pro Subscription (⚠️ DEPRECATED)</b></summary> > **⚠️ DEPRECATED: Anthropic OAuth is currently unavailable.** > > Anthropic has restricted third-party use of OAuth tokens. This authentication method is not working until further notice. > > **Please use one of the following alternatives:** > - **OpenAI API Key** (recommended) > - **Google Gemini API Key** > - **Anthropic API Key** (pay-per-token, not subscription-based) ~~Use your existing Claude Max or Claude Pro subscription - no API billing required.~~ ```bash # ❌ NOT WORKING - Anthropic OAuth disabled # stn init --provider anthropic --ship # stn auth anthropic login ``` </details> <details> <summary><b>OpenAI (API Key)</b></summary> ```bash export OPENAI_API_KEY="sk-..." stn init --provider openai --ship # defaults to gpt-5-mini ``` </details> <details> <summary><b>Google Gemini (API Key)</b></summary> ```bash export GEMINI_API_KEY="..." stn init --provider gemini --ship ``` </details> This sets up: - ✅ Your chosen AI provider - ✅ [Ship CLI](https://github.com/cloudshipai/ship) for filesystem MCP tools - ✅ Configuration at `~/.config/station/config.yaml` ### 3. Start Jaeger (Tracing) Start the Jaeger tracing backend for observability: ```bash stn jaeger up ``` This starts Jaeger UI at [http://localhost:16686](http://localhost:16686) for viewing agent execution traces. ### 4. Connect Your MCP Client Choose your editor and add Station: <details> <summary><b>Claude Code CLI</b></summary> ```bash claude mcp add station -e OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4318 --scope user -- stn stdio ``` Verify wi
Excerpt of 49,500 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:4088d85d532e1973, llm:Repository description and topics: 'Station is our open-source runtime that lets teams deploy agents on their own infrastructure with full control.' Topics include agents, ai, devops, llm, llmops, platform.
matched fp:4088d85d532e1973, llm:Repository description and topics: 'Station is our open-source runtime that lets teams deploy agents on their own infrastructure with full control.' Topics include agents, ai, devops, llm, llmops, platform.
matched fp:4088d85d532e1973, llm:Repository description and topics: 'Station is our open-source runtime that lets teams deploy agents on their own infrastructure with full control.' Topics include agents, ai, devops, llm, llmops, platform.