Persistent, structured memory for AI coding agents via a git-like filesystem with branch/commit/merge tools, enabling agents to maintain context across sessions.
A git-native decision journal that uses a local LLM to infer and store the rationale behind code changes, providing MCP tools for AI coding tools to query commit history.
The decision system for agentic engineering: keeps your project's decisions, rationale, and rejected paths in plain files and surfaces them to AI coding agents before they plan or change code.