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.
This repository also configures its own agents. See what metatron tells them →
Skill Claude CodeCodex
Use when extracting a codebase's implementation decisions with an LLM/agent into Open Knowledge Format (OKF) files, following the repository's configured PR or candidate review gate.
Skill Claude CodeCodex
Use when promoting reviewed Metatron candidate decisions to canonical in a git/CI flow — moving Open Knowledge Format (OKF) files from candidate/ to decisions/. The agent performs only human-named moves; it never decides what to promote.