byneo4j-contrib· 30 skills
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.
$npx -y skills add neo4j-contrib/neo4j-skills --skill neo4j-agent-memory-skillInstalls into the current project.
Run `npx skills use "https://github.com/neo4j-contrib/neo4j-skills" --skill "neo4j-contrib/neo4j-skills/neo4j-agent-memory-skill"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/neo4j-contrib/neo4j-skills" that are relevant to the current task. Run `npx skills add "https://github.com/neo4j-contrib/neo4j-skills"` and select the relevant skills, then follow their instructions.