FastBuilderAI/memory
FastMemory is a topological representation of text data using concepts as the primary input. It helps in improving the RAG(by replacing embedding and vectors entirely), AI memory and LLM queries by up
- Stars
- 58
- Forks
- 6
- Open issues
- 1
- Last push
- 21d ago
memory star history
+0 this week
About memory
memory is a free, open-source RAG and AI search tool by FastBuilderAI, written mainly in Rust. FastMemory is a topological representation of text data using concepts as the primary input. It helps in improving the RAG(by replacing embedding and vectors entirely), AI memory and LLM queries by up. It has 58 GitHub stars and 6 forks, and was last updated 21d ago. It's released under the MIT license, a standard open-source license. According to the project, it works on macOS.
- License
- MIT
- Commercial use
- Commercial OK
- Language
- Rust
- Stars
- 58
- Last update
- 21d ago
- Runs on Mac
- Yes (as stated by the project)
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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memory FAQ
Can I use memory 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 memory free?
Yes. memory is open source and free to use. It's released under the MIT license, a standard open-source license.
Does memory run on a Mac?
Yes. According to the project, memory works on macOS.
Does memory need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is memory still maintained?
Yes. It was last updated 21d ago and has 1 open issues on GitHub.
What are alternatives to memory?
Similar free, open-source tools include ragflow, OpenViking, WeKnora, private-gpt.
Maintain memory?
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