Fast Agent — AI skill for Claude Code
Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP Support.
How to install Fast Agent
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open evalstate/fast-agent and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Fast Agent does
Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP Support.
Alternatives in AI
- Cwc Long Running Agents — Claude Code's built-in /goal command gives you a generator/evaluator loop out of the box: set a completion con 668 ★
- Wechat Acp — Bridge WeChat chat messages to any ACP-compatible AI agent (Claude, Codex, Copilot, Qwen, Gemini, OpenCode and 488 ★
- System One Connector — System One MCP connector to evaluate anything fast and cheap 340 ★
README
Start Here
[!TIP] Please see https://fast-agent.ai for latest documentation.
**`fast-agent`** is a flexible way to interact with LLMs, excellent for use as a Coding Agent, Development Toolkit, Evaluation or Workflow platform.
To start an interactive session with shell support, install [uv](https://astral.sh/uv) and run
uvx fast-agent-mcp@latest -x
To start coding with Hugging Face inference providers or use your OpenAI Codex plan:
# Code with Hugging Face Inference Providers
uvx fast-agent-mcp@latest --pack hf-dev
# Code with Codex (agents optimized for OpenAI)
uvx fast-agent-mcp@latest --pack codex
Enter a shell with `!`, or run shell commands e.g. `! cd web && npm run build`.
Manage skills with the `/skills` command, and connect to MCP Servers with `/connect`. The default **`fast-agent`** registry contains skills to let you set up LSP, Agent and Tool Hooks, Compaction strategies, Automation and more.
# /connect supports stdio or streamable http (with OAuth)
# Start a STDIO server
/connect @modelcontextprotocol/server-everything
# Connect to a Streamable HTTP Server
/connect https://huggingface.co/mcp
It's recommended to install **`fas
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