Project report / GitHub evidence

fast-agent Skills MCP ACP Runtime Model Card

这是可索引项目报告证据页:它保留 fast-agent Skills MCP ACP Runtime Model Card 的源材料入口、机制线索和限制提醒;正文仍需 reader/editor 与 academic public-copy review 后才能当作最终结论引用。

fast-agent Skills MCP ACP Runtime Model Card

FieldValue
Repositoryevalstate/fast-agent
CategorySkills/MCP/ACP Agent Runtime
Stars / forks snapshot3800 / 404
LanguagePython
LicenseApache-2.0
Raw captureraw-github/evalstate_fast-agent.md
Updated byhourly public metadata update, 2026-05-25

1. Role in Self Evolve

fast-agent 是面向编码、构建和评测 Agent 的 Python 运行时,集成 SKILL.md、MCP、ACP、shell 模式、/skills 管理和 /connect 工具连接。

2. Working Principle

fast-agent CLI/TUI -> Skills registry -> MCP/ACP connections -> coding/evaluation workflow runtime

3. Evidence Path

web GitHub page observed 1,837 commits, Apache-2.0 license, 3.8k stars and 404 forks, 88 releases with v0.7.7 latest on 2026-05-19, Python 98.6%; README says fast-agent is a coding agent, development toolkit, evaluation and workflow platform, supports uvx fast-agent-mcp —pack codex, /skills command, /connect for MCP servers, shell mode, Agent Skills, MCP-UI, OpenAI Apps SDK, OAuth transport diagnostics, and ACP/MCP topics. Shell GitHub API access remained blocked by DNS and local gh auth was invalid in this run, so this card treats the current snapshot as web-observed rather than API-verified.

4. Teaching Use

Use this card to explain Skills/MCP/ACP Agent Runtime in the raw -> classification -> project card -> site/report pipeline. The reading path is: raw capture -> classification row -> public site card -> project report -> aggregate GitHub analysis.

5. Limits

当前未克隆源码,未运行 benchmark、skill install flows、memory experiments、MCP servers、agent evolution loops、security scanners 或 production deployments;star/fork/commit/release 快照来自公开 GitHub 页面文本或可见页面片段。