Agent Fusion FAQs

Question 1

Can Agent Fusion's components be used independently?

Accepted Answer

Yes, Agent Fusion is comprised of two independent components: the Context Engine for intelligent local search, and the Task Manager for multi-AI orchestration. Each can be used alone or combined for a comprehensive solution.

Question 2

What is Agent Fusion and how does it help AI agents?

Accepted Answer

Agent Fusion empowers AI agents with instant, hallucination-free access to your local codebase and documentation through an intelligent semantic search engine. It eliminates outdated code generation and allows agents to query context directly, optionally coordinating their work with a task manager.

Question 3

How does Agent Fusion prevent AI hallucinations?

Accepted Answer

It fetches up-to-date, relevant context directly from your local code and documents using advanced hybrid search (semantic, full-text, symbol, Git history). This ensures AI responses are based on actual, accurate information rather than generic or hallucinated data.

Question 4

What is the Task Manager for and when should I use it?

Accepted Answer

The optional Task Manager coordinates work between multiple AI agents, facilitating task routing, collaborative decision-making, and voting for consensus on important changes. Use it when you need multiple AIs to discuss, decide, and maintain an audit trail of their reasoning.

Question 5

What types of files can Agent Fusion index and search?

Accepted Answer

The Context Engine can index and search a wide range of files including code (.kt, .py, .ts, .java), documentation (Markdown, Word, PDF), and any other file types you configure. It understands concepts, not just keywords.

Agent Fusion

Agent Fusion

Key Features

Use Cases

Key Features

Use Cases