Enables AI agents to query project memory by linking code changes to the conversations that produced them, allowing retrieval of past decisions and constraints directly from the codebase.
Temporal knowledge graph for codebases that captures decision traces, links test failures to code changes, learns co-edit patterns, predicts regression risk, and enforces learned constraints at the edit boundary via a PreToolUse hook.
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.
Persistent decision memory and contradiction detection for AI coding agents. Enforces architectural consistency across sessions — the agent cannot code until it loads prior decisions. Human resolves conflicts on a dashboard or in chat.