Agent-Fusion
Eliminates hallucinations in code-querying agents by grounding responses in actual codebase and documentation, reducing debugging time and deployment risk wh…
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
- Ask Claude to search your codebase for specific functions without retrieving outdated or incorrect information.
- Generate documentation updates by querying existing Markdown and PDF files to ensure consistency.
- Automate multi-agent workflows that need accurate code context to complete infrastructure tasks correctly.
Eliminates hallucinations in code-querying agents by grounding responses in actual codebase and documentation, reducing debugging time and deployment risk while keeping sensitive code local.
Developers who want their coding agents to query a local semantic index of code and documentation (Markdown, Word, PDF) for grounded answers, without sending source code to the cloud.
https://github.com/krokozyab/Agent-Fusion
By krokozyab
How to Get It
claude plugins install krokozyab/Agent-Fusion
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Search my codebase for specific functions without retrieving outdated or incorrect information
Trust Signals Auto-scanned
Community Pulse Quiet
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 69 GitHub stars; contributors unknown; last commit 0d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Evaluation
Scored from trust signals (evidence-eval-v1): 69 GitHub stars; contributors unknown; last commit 0d ago; license MIT.