Building HIVEMIND

Multi-agent systems are the future of AI automation. HIVEMIND is my attempt to create a production-ready orchestration layer where specialized agents work in teams.

The Architecture

The system is built on a FastAPI backend with a React frontend. The core innovation is the "Team" structure.

Agent Teams

1. Development Team: Handles code generation, review, and documentation.
2. Security Team: Analyzes code for vulnerabilities and suggests fixes.
3. Infrastructure Team: Generates Terraform/Docker configurations.
4. QA Team: Writes and executes test plans.

Challenges

One of the biggest challenges was managing context between agents. We implemented a shared "Memory Store" that acts as a short-term working memory for the active task.

Future Roadmap

We are currently working on adding support for local LLMs via Ollama to ensure complete data privacy.