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Show HN: MCP Memory – Fast Agent Memory Using Google's OKF and SQLite FTS5

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Why This Matters

MCP-Memory introduces a robust solution for AI agents to maintain persistent, long-term memory using Google's OKF and SQLite FTS5, enhancing their ability to recall and manage information across sessions. Its standards-compliant format, fast search capabilities, and intuitive architecture make it a significant advancement for developing more context-aware and efficient AI systems. This development is poised to improve AI performance, user experience, and the scalability of intelligent applications in the tech industry.

Key Takeaways

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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Key Features

Persistent State Across Sessions: Enables AI agents to read, store, search, and delete stateful memory snippets that persist across chat turns and 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 , stale_after ), adhering strictly to SPEC.md and OKF_RULES.md .

Stores every memory item formatted as an OKF v0.2 Markdown document with YAML frontmatter ( , , , , , , , , ), adhering strictly to and . 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 okf_version: "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 ).

Supports contextual separation (e.g. , , ). Zero Boilerplate Setup: Quick setup wizard ( python3 setup.py ) auto-configures installed MCP tools (Antigravity, Claude, Cursor, Windsurf, Codex).

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