L
LEANN
Local vector database for private RAG using graph-based selective recomputation
open-sourcememory-knowledge
13.0k
Stars
+330
Stars/month
33
Commits (90d)
1
Releases (6m)
Star Growth
+990 (8.2%)estimated from velocity
Overview
LEANN is an innovative vector database that enables fast, accurate, and 100% private RAG applications on personal devices using graph-based selective recomputation. It serves as a semantic search MCP service compatible with Claude Code and can index personal data like emails, browser history, chat histories, and codebases locally.
Deep Analysis
Key Differentiator
Achieves 97% storage savings over traditional vector databases by computing embeddings on-demand instead of storing them, enabling large-scale RAG on personal laptops.
⚡ Capabilities
- • vector database
- • semantic search
- • on-demand embedding computation
- • graph-based selective recomputation
- • high-degree preserving pruning
🔗 Integrations
Claude Code (MCP service)file systemsemail clientsbrowserschat applications (WeChat, iMessage)AI chat histories (ChatGPT, Claude)live data platforms (Slack, Twitter)
✓ Best For
- ✓ building private RAG systems on personal devices
- ✓ agent memory and knowledge retrieval
- ✓ tool integration via MCP for coding agents
✗ Not Ideal For
- ✗ cloud-based AI applications
- ✗ end-user chatbots or content generation
- ✗ image or multimedia processing
⚠ Known Limitations
- ⚠ Runs locally on personal hardware
- ⚠ Claude Code integration currently supports only basic keyword search
- ⚠ Requires local computation for embeddings
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Weaviate
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