AI Infrastructure · PyPI

neo4j-agent-memory

A comprehensive memory system for AI agents using Neo4j

Details

Author
William Lyon
GitHub profile
@neo4j-labs
Category
AI Infrastructure
Platform
PyPI
GitHub
https://github.com/neo4j-labs/agent-memory
Framework
langchain
Language
python
Stars
0
First indexed
2026-05-15
Last active
Directory sync
2026-05-15

Overview

A comprehensive memory system for AI agents using Neo4j

Quick start

pip

pip install neo4j-agent-memory

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What neo4j-agent-memory can do

  • Agent — Plans, decides, and executes multi-step tasks autonomously.
  • Llm — llm task automation.
  • Ai — ai task automation.
  • Openai — openai task automation.
  • Reasoning — Works through multi-step problems with explicit logic.

Frequently asked questions

What is neo4j-agent-memory?
A comprehensive memory system for AI agents using Neo4j
How do I install neo4j-agent-memory?
Use pip: `pip install neo4j-agent-memory`. Full setup details on the source page linked above.
Is neo4j-agent-memory open source?
neo4j-agent-memory is published on PyPI.
What are alternatives to neo4j-agent-memory?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for neo4j-agent-memory is sourced from PyPI, published by William Lyon.

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