Neo4j Agent Memory enables AI assistants to build and query persistent knowledge graphs. Store information as nodes, create meaningful relationships between them, and search across your connected data. Unlike simple key-value stores, this graph-based approach captures how information relates, providing rich context for more intelligent responses. ### Key Features: * **Store facts as nodes** - people, places, organizations, projects, events * **Connect with semantic relationships** - KNOWS, WORK
Cross-referenced across 55 tracked directories
#8439
Popularity Rank
1 / 55
Listed In
Emerging
Adoption Stage
7/25/2025
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Recently added to the ecosystem
Jeremiah Lowin
The fast, Pythonic way to build MCP servers and clients.
Acacian
Credential isolation proxy for AI agents. Injects API keys at the network boundary so your agent never sees the raw credential. Supports domain allowlists, agent auth, policy enforcement, and audit logging.
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No description available
datalayer
🐍 🏠 - Model Context Protocol (MCP) Server for Jupyter.