20+ Claude Code agents coordinating on real work (open source)
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…
In plain words
This open-source multi-agent orchestrator enables Claude Code agents to coordinate on complex, long-running tasks by decomposing work across parallel sub-agents that share intermediate discoveries in real time. It addresses limitations of single-agent LLMs like stalling, looping, and non-compiling code generation. The system uses an orchestrator agent for task management, subscriptions to track progress, and shared context updates. Designed as a small, readable, and modifiable Claude Code skill, it has been tested on mathematical problems and generalizes to refactors, builds, and research tasks.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
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 pattern generalizes to things like refactors, app builds, and long research. It’s packaged as a Claude Code skill and designed to be small, readable, and modifiable. Use it, break it, tell me about what workloads we should try and run next!
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