# glean

> glean — gleean-glean. Use this tool when you need to efficiently manage and retrieve local knowledge bases, solving problems of information overload and slow search queries. It takes in various data inputs, including git repositories, and outputs relevant search results through a hybrid search interface combining BM25 and vector search algorithms. Ideal for use cases requiring fast and accurate knowledge retrieval, such as research, development, and note-taking applications.

Canonical page: https://skillsregistry.net/skills/gleean-glean  
JSON: https://api.skillsregistry.net/v1/skills/gleean-glean

## Description

A local-first knowledge engine and RAG infrastructure powered by Rust, featuring MCP support, hybrid search (BM25 + Vector), and LanceDB integration

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/gleean/glean)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "gleean-glean"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gleean-glean` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gleean-glean/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt