libenxier-beep/codex-memories
Local-first persistent memory for OpenAI Codex: governed recall, progressive disclosure, no hosted vector database.
- Stars
- 103
- Forks
- 2
- Open issues
- 0
- Last push
- 1mo ago
About codex-memories
codex-memories is a free, open-source RAG and AI search tool by libenxier-beep, written mainly in Python. Local-first persistent memory for OpenAI Codex: governed recall, progressive disclosure, no hosted vector database. It has 103 GitHub stars and 2 forks, and was last updated 1mo ago. It's released under the Apache-2.0 license, a standard open-source license. According to the project, it works on macOS.
- License
- Apache-2.0
- Commercial use
- Commercial OK
- Language
- Python
- Stars
- 103
- Last update
- 1mo ago
- Runs on Mac
- Yes (as stated by the project)
- GPU
- Not stated
- Paid API key
- Not required
- Self-hostable
- Not stated
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codex-memories FAQ
Can I use codex-memories commercially?
Yes. Apache-2.0 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 codex-memories free?
Yes. codex-memories is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.
Does codex-memories run on a Mac?
Yes. According to the project, codex-memories works on macOS.
Does codex-memories need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is codex-memories still maintained?
It was last updated 1mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to codex-memories?
Similar free, open-source tools include ragflow, OpenViking, private-gpt, memvid.
Maintain codex-memories?
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