# memary

> Open-source persistent memory layer for autonomous AI agents using knowledge graphs

memary is a Python library that equips LLM agents with long-term, human-like memory using knowledge graphs. It tracks user interactions through a Memory Stream and an Entity Knowledge Store, ranking concepts by frequency and recency. By recursively querying and updating graph stores like Neo4j or FalkorDB, it lets agents retain context across sessions.

Website: https://github.com/kingjulio8238/Memary

## What it is for

- Equip autonomous LLM agents with persistent multi-session memory
- Track user preferences and entity depth over time using knowledge graphs
- Reduce context token overhead through automated memory summarization and graph retrieval
- Build multi-user personal assistants using distinct knowledge graph instances

## Features

- Memory Stream to track exposure to concepts with timestamps
- Entity Knowledge Store ranking concepts by frequency and recency
- Graph database integration supporting FalkorDB and Neo4j
- Multi-hop and recursive subgraph retrieval to keep query latency low
- Local model execution support via Ollama alongside OpenAI endpoints
- Built-in conversation history summarization to manage context windows
- Streamlit dashboard for visualizing agent interactions and personas
- ReAct agent architecture with extensible custom tools

## Pricing

Open source

## Details

- Type: GitHub repo
- Category: [AI](https://xiry.app/topics/ai.md)
- Topic: [Agent Frameworks](https://xiry.app/topics/ai/agent-frameworks.md)
- Open source: yes
- Platforms: Code library, Linux, macOS, Windows
- For: Python developers and AI engineers building stateful LLM agents
- Alternative to: MemGPT, Letta, Zep
- Tags: agents, memory, knowledge graph, llm, rag, python

## Why it was saved

- [@Saboo_Shubham_, 29 December 2024](https://x.com/Saboo_Shubham_/status/1873209080074125786): A drop-in few-lines-of-Python component for adding long-term memory to LLM agent projects.

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Updated 10 October 2026. Page: https://xiry.app/resources/memary

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