kerbelp/metatron
View on GitHub ↗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.
23 ★3 forksPythonUpdated 1mo ago
What you need to know
Metatron stores codebase conventions as versioned files in git that coding agents read before writing code, offering a files-first mode and an MCP serving-layer mode.
Install
pip install getmetatron
Key features
- ✓Versioned codebase conventions in git
- ✓Files-first mode
- ✓MCP serving-layer mode
Best for
Keeping coding agents aligned with project conventions across a team.
Platforms: Docker
Topics
agentic-aiagentic-workflowai-agentai-coding-assistantai-toolsclaude-codecursor-editordevtoolsllm-toolsmcpmcp-servermcp-toolsmodel-context-protocoltree-sitter
- Stars
- 23★
- Forks
- 3
- Language
- Python
- License
- MIT
- Created
- 2026-06-03
- Last push
- 2026-07-29