LEANN aims to be a personal knowledge layer - not just a storage-efficient vector database, but a unified, always-up-to-date knowledge base that runs entirely on your own machine. It connects your code, images, and your personal data (documents, emails, browser history, chats) into a single multimodal search interface.
Contributions and feedback are welcome. Join Slack at https://join.slack.com/t/leann-e2u9779/shared_invite/zt-3ol2ww9ic-Eg_kB8omwe6xmYVd0epr4Q.
P0 — Core
LEANN MCP
Search Quality
Documentation
P1
Multimodal
Platform & Distribution
Applications & Integrations
Timeline
|
Target |
| P0 — Core |
Q1 2026 (Jan–Mar) |
| P1 |
Q2 2026 (Apr–Jun) |
Contributing
Contributions are welcome! If you're interested in working on any of the items above, please reach out to @yichuan-w or @andylizf. Join our Slack to discuss.
LEANN aims to be a personal knowledge layer - not just a storage-efficient vector database, but a unified, always-up-to-date knowledge base that runs entirely on your own machine. It connects your code, images, and your personal data (documents, emails, browser history, chats) into a single multimodal search interface.
Contributions and feedback are welcome. Join Slack at https://join.slack.com/t/leann-e2u9779/shared_invite/zt-3ol2ww9ic-Eg_kB8omwe6xmYVd0epr4Q.
P0 — Core
LEANN MCP
leann watch) ([Feature]Code retrieval enhancements #41) @yichuan-wrecomputesecond level latency for code RAG #177) @andylizfSearch Quality
Documentation
P1
Multimodal
Platform & Distribution
Applications & Integrations
Timeline
Contributing
Contributions are welcome! If you're interested in working on any of the items above, please reach out to @yichuan-w or @andylizf. Join our Slack to discuss.