gh9ko8y/graphmemory
Bitemporal AI memory system: six-variable decay, time-graded recall, TTL expiry, dedupe, competitive retrieval (Neo4j + PostgreSQL + Redis)
- Stars
- 125
- Forks
- 2
- Open issues
- 0
- Last push
- 2d ago
Can I sell what I build with it?
Yes
A guide, not legal advice.
About graphmemory
graphmemory is a free, open-source AI agent tool by gh9ko8y, written mainly in Python. Bitemporal AI memory system: six-variable decay, time-graded recall, TTL expiry, dedupe, competitive retrieval (Neo4j + PostgreSQL + Redis). It has 125 GitHub stars and 2 forks, and was last updated 2d ago. It's released under the MIT license, a standard open-source license.
- License
- MIT
- Commercial use
- Commercial OK
- Language
- Python
- Stars
- 125
- Last update
- 2d ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Required
- Self-hostable
- Yes
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graphmemory FAQ
Can I use graphmemory commercially?
Yes. MIT is a permissive license: commercial use is allowed as long as you keep the license notice. This is a plain-English summary, not legal advice.
Is graphmemory free?
graphmemory is open source, but it needs a paid third-party API key to work. It's released under the MIT license, a standard open-source license.
Does graphmemory run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does graphmemory need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is graphmemory still maintained?
Yes. It was last updated 2d ago and has 0 open issues on GitHub.
What are alternatives to graphmemory?
Similar free, open-source tools include mem0, AutoGPT, ECC, TencentDB-Agent-Memory.
Maintain graphmemory?
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