MCPs › Data & APIs › Neo4j Agent Memory
Stores entities and relationships in a Neo4j graph database with semantic search and temporal filtering, enabling persistent contextual memory for conversational systems through 10 specialized tools for creating memories, building connections, and querying knowledge graphs with configurable depth traversal.
Computed from public signals only — stars, package downloads and how many registries list it. It measures how established a project is, not whether it is safe or right for you.
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Turn Neo4j Agent Memory’s tool calls into revenue: one disclosed sponsored slot, 70% revenue share, fail-open by design.
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Install Neo4j Agent Memory
For anyone using Neo4j Agent Memory — no Lulu account neededclaude mcp add neo4j-agent-memory -- npx -y @knowall-ai/mcp-neo4j-agent-memory
9 field-tested tactics as a designed playbook plus skills your coding agent can run. Free.
Get the Kit →FAQ
Neo4j Agent Memory installs from source — follow the repository README.
34 out of 100, computed from cross-registry traction signals (installs, stars, registry presence) — never influenced by sponsorship.
Similar servers
Works well together
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This is for the person who owns Neo4j Agent Memory — adds Lulu Ads to your own code. Not the install steps above, those are for your users.
Copies a ready prompt: your coding agent installs the lulu-ads SDK, wires the slot, and applies the widget design guide.
or set up manually at getlulu.dev/publishers
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