Neo4j Agent Memory Server
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, WORKS_AT, CREATED, MANAGES * **Word-tokenized search** - finds "John" OR "Smith" when searching "John Smith" * **Date filtering** - find memories created after specific dates * **Multi-hop traversal** - explore connections up to 3 levels deep * **Automatic timestamps** - track when memories were created * **Flexible schema** - use any label or property you need * **Relationship properties** - add context like "since: 2023" to connections * **10 specialized tools** - search, create, update, delete memories and connections * **LLM-friendly design** - simple atomic operations, AI handles the intelligence Build persistent, queryable knowledge graphs that grow smarter over time.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- container
- Category
- ai-ml
- Source
- Smithery
- Repository
- github.com/knowall-ai/mcp-neo4j-agent-memory
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Neo4j Agent Memory Server from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.