ctxr-dev/llm-wiki-memory
Local, git-versioned memory for AI coding agents. No RAG, no Docker, no external service. Capture, compile, recall over a local LLM wiki with on-device embeddings and an MCP server.
- Stars
- 129
- Forks
- 4
- Open issues
- 0
- Last push
- 1mo ago
About llm-wiki-memory
llm-wiki-memory is a free, open-source RAG and AI search tool by ctxr-dev, written mainly in JavaScript. Local, git-versioned memory for AI coding agents. No RAG, no Docker, no external service. Capture, compile, recall over a local LLM wiki with on-device embeddings and an MCP server. It has 129 GitHub stars and 4 forks, and was last updated 1mo 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
- JavaScript
- Stars
- 129
- Last update
- 1mo ago
- Runs on Mac
- Yes (as stated by the project)
- GPU
- Not stated
- Paid API key
- Not required
- Self-hostable
- Yes
Similar free tools
qdrant35k stars · Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
ragflow93k stars · Builds context layers for LLMs using RAG and agent capabilities.
serviette59k stars · A no-code RAG server that keeps answers in sync with your documents. Works with 8 vector databases. Built on Pathway.
txtai13k stars · txtai is an all-in-one AI framework for semantic search and LLM workflows.
OpenViking41k stars · Organizes AI agent knowledge as a virtual filesystem for easy navigation and management.
WeKnora35k stars · Builds a knowledge base and reasoning agent from documents.
llm-wiki-memory FAQ
Can I use llm-wiki-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 llm-wiki-memory free?
Yes. llm-wiki-memory is open source and free to use. It's released under the MIT license, a standard open-source license.
Does llm-wiki-memory run on a Mac?
Yes. According to the project, llm-wiki-memory works on macOS.
Does llm-wiki-memory need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is llm-wiki-memory still maintained?
It was last updated 1mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to llm-wiki-memory?
Similar free, open-source tools include qdrant, ragflow, serviette, txtai.
Maintain llm-wiki-memory?
Add this badge to your README to show it's featured on FreeAIRepo.
[](https://www.freeairepo.com/repo/ctxr-dev/llm-wiki-memory)