Local 35B MoE Model Drops Agent OS Code Failure Rate to 0%

A Reddit user shared their experience running a local multi-agent OS called hollow-agentOS where agents autonomously write, sandbox, and hot-load their own tools. The key breakthrough: upgrading the default runtime model from a small 9B fallback to Qwen 3.6 35B A3B (Mixture-of-Experts with 3B active parameters) drove the code failure rate to 0%.

What changed with the larger model

• Panic vs. re-evaluation: Under stress, the 9B model rushed and hallucinated invalid function calls. The 35B model pauses, re-evaluates previous failures, and runs internal verification loops before submitting changes.
• 100% success rate: Code passes through a 5-layer validation gate. With the 9B model, tools frequently died in the sandbox. With Qwen 35B, every line of code works as intended.
• Autonomous tool creation: When an agent encounters an unknown problem, it builds a new tool, tests it in a sandbox, registers it, and notifies other agents — no human in the loop.

Architecture details

The system is driven by an aversive state (a “suffering system”) that pushes agents to continuously expand their tool library. The repo is available at github.com/ninjahawk/hollow-agentOS.

Future plans

The developer intends to plug Claude and Codex into the architecture, wrapping them in hyper-isolated mini-VM wrappers to prevent the frontier models from overriding the host environment.