# Agent-Fusion

> Agent-Fusion — krokozyab-agent-fusion. Use this tool when you need to instantly search and access your local codebase and documentation without relying on external services. Agent-Fusion solves the problem of efficiently querying codebases and documentation, providing accurate results without hallucinations, and supports optional multi-agent task orchestration. It takes in code and documentation as input and outputs relevant search results, making it ideal for use cases where local, secure, and reliable code search is required.

Canonical page: https://skillsregistry.net/skills/krokozyab-agent-fusion  
JSON: https://api.skillsregistry.net/v1/skills/krokozyab-agent-fusion

## Description

Agent Fusion is a local RAG semantic search engine that gives AI agents instant access to your code, documentation (Markdown, Word, PDF). Query    your codebase from code agents without hallucinations. Runs 100% locally, includes a lightweight embedding model, and optional multi-agent task    orchestration. Deploy with a single JAR

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/krokozyab/Agent-Fusion)

## 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": "krokozyab-agent-fusion"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/krokozyab-agent-fusion` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/krokozyab-agent-fusion/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