gstack / gstack
garrytan/gstack/gstack/llms.txt
this coding agent: install the CLI, initialize a local PGLite or Supabase brain, register MCP, capture per-remote trust policy. - [/ship](ship/SKILL.md): Ship it: merge the base, run tests, review
How real projects summarise themselves for language models.
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
garrytan/gstack/gstack/llms.txt
this coding agent: install the CLI, initialize a local PGLite or Supabase brain, register MCP, capture per-remote trust policy. - [/ship](ship/SKILL.md): Ship it: merge the base, run tests, review
koala73/worldmonitor/public/llms.txt
layers, a plain LLM is cheaper and faster. **How an agent should call it:** - [MCP server (recommended)](https://worldmonitor.app/mcp): Streamable HTTP; issue `tools/list` for the live inventory. Auth: OAuth2
chopratejas/headroom/llms.txt
before they reach the model. Same answers, 60–95% fewer tokens. Library, proxy, and MCP server. Apache 2.0, local-first. Headroom is shipped as a Python package (`headroom
DavidHDev/react-bits/public/llms.txt
copy and CLI commands (jsrepo, shadcn). - [MCP Setup](https://www.reactbits.dev/get-started/mcp): Set up a MCP server to help you with development. - [Pro catalogue](https://www.reactbits.dev/pro): On-domain previews
Steady4 mentions in 2 weeks
No other project uses it yet
abhigyanpatwari/GitNexus/llms.txt
design context) - ARCHITECTURE.md — system overview, data flow, component relationships # Key directories - gitnexus/ (CLI/core, MCP server — TypeScript) - gitnexus-web/ (web UI — React/Vite/WASM) - eval/ (SWE-bench evaluation harness — Python) - gitnexus-claude-plugin
No other project uses it yet
DeusData/codebase-memory-mcp/docs/llms.txt
codebase-memory-mcp > Codebase Memory is an open-source local MCP server for AI coding agents. It connects code, documentation, configuration, and infrastructure in a persistent knowledge graph, with
Steady21 mentions in 2 weeks
No other project uses it yet
tinyhumansai/openhuman/llms.txt
configuration. The OpenAI-compatible example controls can point a live example at that local server. - [MCP servers](docs/gitbooks/en/developing/embed/integrations/mcp.md): Enable the `mcp` Cargo feature and declare a server with `AgentSpec::mcp
Steady13 mentions in 2 weeks
No other project uses it yet
linera-io/linera-protocol/docs/llms.txt
Linera and trading on Linera prediction markets. - [mcp-demo](https://github.com/linera-io/mcp-demo): Demo MCP server connecting Claude to a Linera counter application via GraphQL. - [linera-web](https://github.com/linera-io/linera-web):
No other project uses it yet
openai/openai-agents-python/docs/llms-full.txt
tool contexts, and test tool execution paths. - [Model Context Protocol](https://openai.github.io/openai-agents-python/mcp/): Integrate MCP servers so agents can dynamically request data or actions from external providers via a standard
No other project uses it yet
openai/openai-agents-python/docs/llms.txt
manage schemas, and work with tool contexts. - [Model Context Protocol](https://openai.github.io/openai-agents-python/mcp/): Connect MCP servers so agents can request external data or actions through standardized tool APIs. ## Operations
No other project uses it yet
alirezarezvani/claude-skills/docs/llms-full.txt
sync scripts in `scripts/`. Supported targets include: - **Claude Code** (primary) — plugins, agents, slash commands, MCP servers, hooks - **OpenAI Codex** — `scripts/sync-codex-skills.py`, `~/.codex/` - **Gemini CLI** — `scripts/sync-gemini-skills.py` - **Cursor** — rules-format export - **Hermes Agent
Steady17 mentions in 2 weeks
No other project uses it yet
a2aproject/A2A/docs/llms.txt
docs/spec/a2a.json`. 2. **Core Concepts Documentation:** Conceptual guides in `docs/topics/` (What is A2A, A2A & MCP, Core Concepts, Life of a Task, Agent Discovery, Enterprise Features, Streaming & Async, Multi-Tenancy
No other project uses it yet
akfamily/akshare/llms.txt
Assistants (MCP) AKShare itself is a Python library and does not run an MCP server. The companion project AKTools (`https://github.com/akfamily/aktools`) provides one, registered in the official MCP Registry
NirDiamant/agents-towards-production/llms.txt
github.com/NirDiamant/agents-towards-production/tree/main/tutorials/LangGraph-agent): Building a stateful agent as a graph with LangGraph. - [Agent with MCP](https://github.com/NirDiamant/agents-towards-production/tree/main/tutorials/agent-with-mcp): Connecting an agent to tools over the Model Context Protocol. - [A2A](https://github.com
Evil0ctal/Douyin_TikTok_Download_API/llms.txt
Bilibili (B 站). One > `docker compose up` gives you a REST API, an MCP server and a web console, > backed by an identity pool (cookies + proxies + fingerprints) that mints, > tests
corsairdev/corsair/docs/llms.txt
docs.corsair.dev/mcp-adapters/claude-sdk.md): Use Corsair with the Claude Agent SDK via an in-process MCP server. - [Vercel AI SDK](https://docs.corsair.dev/mcp-adapters/vercel-ai.md): Connect Corsair to the Vercel AI SDK over HTTP
tonhowtf/omniget/llms.txt
permissions, undo, durable jobs, loops that repeat until a test command passes, an embedded MCP server with 49 tools, and an isometric house called the World where the agents
No other project uses it yet
yichuan-w/LEANN/llms.txt
/StarTrail-org/LEANN contact: https://github.com/StarTrail-org/LEANN/issues # Installation install: uv tool install leann-core --with leann # MCP Server Entry Point mcp.server: leann_mcp mcp.protocol_version: 2024-11-05 # Tools mcp.tools: leann_list
No other project uses it yet
NangoHQ/nango/docs/llms.txt
tokens are revoked. - [Auth: MCP Auth](https://nango.dev/docs/guides/auth/mcp-auth.md): Let your users connect to MCP servers through Nango - [Agent sessions](https://nango.dev/docs/guides/agent-sessions.md): Optimized interface for AI agents
tw93/Kami/site/llms.txt
Kami API, no account, and no API key: the integration surface is a local MCP server, JSON content schemas, and CLI checks. ## When to use Kami Reach for Kami when
Steady6 mentions in 2 weeks
No other project uses it yet
A markdown file at a website's root that gives language models a short guide to the site and links to the pages worth reading.
The same idea with the content included, so an agent can read the documentation in one request.
Agents and tools that fetch documentation on someone's behalf. It's a proposal, not a standard, and support varies.
Start with a one-line summary, then sections of links with a sentence each. The examples here show what real projects do.