Local-first memory engine for AI-agent teams: private/team/project ACL, associative recall, and federated sync across nodes. One SQLite file, no LLM required.
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.
Portable AI memory that roams with you across models and harnesses — one shared memory for Claude Code, Codex, Cursor, Gemini CLI and more, stored as plain markdown files you own. Per-project spaces plus a shared layer, vault-wide search; runs locally over stdio/HTTP or hosted with OAuth 2.1 backed by your own GitHub repo.
The open-source, self-organizing memory for all your AI tools. Persistent memory over MCP (remember, recall, observe): background agents extract entities, resolve conflicts, and keep cited syntheses current in an append-only, encrypted, single-tenant vault.
Portable AI memory vault — save memories, skills, and configs to a local database and share them across Claude Desktop, Claude Code, Cursor, Cline, and more.
A local-first CLI and MCP server that helps you build and search a personal knowledge vault from Markdown notes, with semantic search and AI-powered features like stale note detection and session memory harvesting. It’s provider-agnostic, requires no GPU in its default mode, and exposes your vault as long-term memory to any MCP-compatible AI tool like Claude Code.
Persistent memory for AI agents built on the LLM Wiki pattern: a plain-Markdown brain (also a valid Obsidian vault) with SQLite metadata, local semantic search via fastembed (no API keys), one-call session context with project auto-detection, and a decision log with rationale. Works with Claude Code, Claude Desktop, Cursor, and any MCP client.