Practical overview
When it fits
Use it when retrieval should run on a personal device and the project benefits from compact vector indexes, local processing and integrations with the listed AI ecosystems.
Who it is for
- People building private local AI assistants
- Developers creating personal-document search and question-answering tools
- Users who need an offline-first knowledge base on a laptop
- Developers adding semantic retrieval to code or MCP workflows
Documented uses
- Index personal documents and other local data
- Search files, notes, archives or code semantically
- Build a local RAG assistant
- Reduce vector-index storage requirements
- Provide semantic retrieval to a coding-agent workflow
Requirements & limits
The repository is public and lists an MIT license. Supported platforms in the technical profile are Windows, Linux, macOS and self-hosted environments.
- Local execution is central to the project’s documented privacy and offline-first positioning.
- The repository reports 97% storage savings and describes graph-based selective recomputation rather than storing all embeddings.
- The project is Python-based and references compatibility or integrations involving FAISS, LangChain, LlamaIndex, Ollama and MCP.
- The repository documents use across files, email, browser history, chat history, agent memory, live data and codebases.
- Reported benchmark outcomes depend on the tested dataset, task and retrieval setup.
Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.
Compare options for Retrieval-augmented applications
These projects document a common task and share a project role. This is a source-based comparison, not an execution benchmark or a guarantee of interchangeability.
| Project | Documented purpose | Platform | Access and requirements |
|---|---|---|---|
| Leann | Index personal documents and other local data | Linux, macOS, Self-hosted, Windows | The repository is public and lists an MIT license. Supported platforms in the technical profile are Windows, Linux, macOS and self-hosted environments. |
| Langsearch | Crawl website or local data for a knowledge base. | CLI, Self-hosted, Server | |
| Hybrid Search Rag | Combine document retrieval and language-model generation in a configurable workflow. |
Sources & review
Source record details
- Source availability
- Active
- Sources checked
- 30 September 2026
- Original website title
- StarTrail-org/LEANN · Official homepage title · retained in its source language

