Fast GraphRAG
RAG that intelligently adapts to your use case, data and queries.
FrameworkAI ProductivityCross-Platform, WebFree
4.7Visit
Framework
FastMemory
A topological memory layer that uses concepts instead of embeddings to improve RAG and AI memory.
Day 43 since launch · Launched 25 August 2026
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What is FastMemory?
FastMemory represents text as a topological structure built from concepts. It aims to improve RAG, AI memory and LLM queries without embeddings or vectors, and reports strong results on Hugging Face benchmarks.
Pros
- Replaces embeddings and vectors for retrieval
- Written in Rust
- MIT licensed
Cons
- Benchmark claims are the project's own
- Young project with a small community
Who should use FastMemory
Developers experimenting with alternatives to vector-based RAG.
Who may not need it
People who just need a simple vector store.
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