An OKF-backed Model Context Protocol (MCP) server delivering persistent long-term memory and SQLite FTS5 search for AI agents.
MCP-Memory: OKF-Backed Agent Memory Server
MCP-Memory is a Model Context Protocol (MCP) server that equips AI agents (such as Claude Desktop, Cursor, Antigravity, Windsurf, or Codex) with persistent, long-term memory capabilities.
Memory records are formatted using the Open Knowledge Format (OKF v0.2) standard and indexed with a local SQLite instance (supporting FTS5 full-text search) for fast key-value lookups, tag filtering, and content search.
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Persistent State Across Sessions: Enables AI agents to read, store, search, and delete stateful memory snippets that persist across chat turns and sessions. OKF Standard Compliance: Stores every memory item formatted as an OKF v0.2 Markdown document with YAML frontmatter (type, key, namespace, tags, generated, sources, verified, status, staleafter), adhering strictly to SPEC.md and OKFRULES.md. Dual-Layer Architecture: - Human-Browseable OKF Directory: Automatically dumps and syncs every memory to disk as a raw .md file inside the memory/ bundle directory with hierarchical index.md progressive disclosure files (root index.md versioned with okfversion: "0.2") and log.md update history tracking. - High-Performance SQLite Indexing: SQLite FTS5 (Full-Text Search) and automatic triggers for sub-20ms key lookups and instant keyword searches. Namespace Isolation: Supports contextual separation (e.g. user/preferences, project/architecture, default). Zero Boilerplate Setup: Quick setup wizard (python3 setup.py) auto-configures installed MCP tools (Antigravity, Claude, Cursor, Windsurf, Codex).
From the project README.
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