metatron
Git-native context layer for AI coding agents. Your team's real engineering decisions — patterns, pitfalls, conventions — live as reviewed markdown files in your repo; agents consult them before writing code and record what they learn. Files-first, no server required; MCP as an optional serving layer.
面向AI编码代理的Git原生上下文层。您团队的真实工程决策——模式、陷阱、约定——作为已审阅的markdown文件存在于仓库中;代理在编写代码前会查阅这些文件并记录所学。文件优先,无需服务器;MCP作为可选服务层。
How to install
git clone https://github.com/kerbelp/metatron ~/.claude/skills/metatron About
Metatron captures a codebase's real implementation decisions — preferred patterns, rejected approaches, edge cases, internal conventions — as structured **decisions**: one markdown file per convention, versioned in git next to the code, consulted by any coding agent that can read a file, and curated through your ordinary pull-request review. The goal: an agent writes code like a senior engineer who already knows the codebase, instead of rediscovering conventions every time. bash pip install getmetatron metatron context setup # one command: your repo carries its own agent context For teams that…
Recommendation signals
Meta
- License
- MIT
- Language
- Python
- GitHub stars
- 24
- mo. downloads
- –
- Last push
- 2026-09-23
- Created
- 2026-06-03
Links
Basic safety check
- Findings
- curated 收录但无 npm 包/安装命令
- Sources
- curated:punkpeye/awesome-mcp-servers
- Topics
- agentic-ai, agentic-workflow, ai-agent, ai-coding-assistant, ai-tools, claude-code, cursor-editor, devtools, llm-tools, mcp, mcp-server, mcp-tools, model-context-protocol, tree-sitter
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