Neo4j Agent Memory Skill
neo4j-contrib/neo4j-skills/neo4j-agent-memory-skillby neo4j-contrib9005c19e5bbb6113dd9917d815c11d993377be0aNo licenseListed Oct 9, 2026Updated Oct 9, 2026
Authoritative reference for the neo4j-agent-memory Python package — a graph-native memory system for AI agents built on Neo4j — and for the hosted service (NAMS) at memory.neo4jlabs.com. Use this skill whenever the user mentions neo4j-agent-memory, agent memory with Neo4j, context graphs, the POLE+O model, MemoryClient/MemorySettings, the memory MCP server, or any of the framework integrations (LangChain, PydanticAI, CrewAI, AWS Strands, Google ADK, Microsoft Agent Framework, OpenAI Agents, LlamaIndex). Also use when the user mentions the hosted service at memory.neo4jlabs.com, NAMS, the Neo4j Agent Memory Service, the `nams_` API key prefix, or the hosted MCP endpoint. Also use when writing documentation, blog posts, tutorials, PRDs, or code samples for the project, when comparing agent memory approaches, or when positioning graph-native memory against vector-only approaches — even if the user doesn't explicitly name the package.
Only the file list is public. File contents are available once the skill is installed in a workspace.
| Path | Size | Type |
|---|---|---|
| README.md | 1.6 KB | text/markdown |
| SKILL.md | 22.7 KB | text/markdown |
Source and attribution
Source:neo4j-contrib/neo4j-skillsinneo4j-agent-memory-skillat commit9005c19
License: No license
Content belongs to its original authors. SourceWeft indexes it from a public repository.
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