Local-first evidence-backed repository memory for coding agents, providing read-only tools to list concepts, explain them, get governed context packs, and verify claims against the codebase.
Local-first deterministic project memory for AI coding agents, with context packs, decisions, gates, risks, scoped claims and explicit checkpoints in project-owned files.
Cross-model, cryptographically verifiable memory for AI agents, enabling portable, encrypted memory and project state management across different LLMs through the Model Context Protocol.
Enables LLM agents to compress handoffs into structured, auditable context capsules, preserving goals, constraints, decisions, and risks without external API calls.