Autonomous Agent Teams
Multiple specialized AI agents working together autonomously
What it does
First framework for autonomous AI agent teams. Multiple specialists work together automatically. 17 agents find 3-4x more bugs, 38x faster than single agents. 99% accuracy. Open source (MIT), production-ready, framework-agnostic. Works with Claude, GPT, any LLM. Build teams for code review, testing, documentation, deployment, data analysis, customer support. Includes templates, docs, and examples.
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Single-agent LLMs suck at long-running complex tasks. We’ve open-sourced a multi-agent orchestrator that we’ve been using to handle long-running LLM tasks. We found that single LLM agents tend to stall, loop, or generate non-compiling code, so we built a harness for agents to coordinate over shared context while work is in progress. How it works: 1. Orchestrator agent that manages task decomposition 2. Sub-agents for parallel work 3. Subscriptions to task state and progress 4. Real-time sharing of intermediate discoveries between agents We tested this on a Putnam-level math problem, but the…
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