Enables AI agents to securely read and write to an Obsidian-compatible Markdown vault with per-agent access control, audit logging, and conflict resolution.
Local-first, file-based memory layer for AI agents — one shared Markdown vault across Claude, Codex, Gemini, Cursor and any MCP client. Provides read/write memory tools with an audit trail, per-agent trust levels, and Git sync; no cloud and no lock-in.
Turns a folder of Markdown notes into an agent-native knowledge base, providing long-term memory with provenance, token-budgeted retrieval, and safe write-back with versioning.
Provides AI agents with a learning-based knowledge management system that stores, retrieves, and automatically relates knowledge using embeddings, with Git-based version control and Obsidian compatibility.