EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Hacker News·Aug 13·5 min read
Show HN: MCP Memory – Fast Agent Memory Using Google's OKF and SQLite FTS5
TL;DR
MCP-Memory is a server that enhances AI agents with persistent memory capabilities, allowing them to store and retrieve information across sessions. It utilizes Google's Open Knowledge Format and SQLite for efficient memory management and search functionality.
✦ Why It Matters
Implement MCP-Memory to enhance your AI agent's ability to retain and utilize information across sessions.
Key Takeaways
- Set up MCP-Memory to enable long-term memory for AI agents.
- Utilize SQLite FTS5 for fast memory searches and retrieval.
- Organize memory using namespaces for better context management.
- Access and manage memory through a human-readable directory.
How It Works
MCP-Memory employs a dual-layer architecture where memory records are formatted in the Open Knowledge Format (OKF) and indexed using SQLite's FTS5. This allows for quick key-value lookups and efficient keyword searches, enabling AI agents to access relevant information almost instantaneously.
The system automatically syncs memory to disk, creating a structured directory that is easy for users to navigate.