Show HN: AutoBot – live voice control for long-running AI work

AutoBot: a self-improving agentic harness that makes frontier AI better at finishing complex knowledge work.

AutoBot achieved 18.5% higher task completion than the published OpenAI Sol Max baseline , surpassing Anthropic’s Claude Opus 5 Max on OSWorld 2.0, a benchmark of long, multi-application workflows. It also reached #1 on the official AssistantBench hidden-test leaderboard . Results and methodology

Hard workflows become upgrades to the agent itself. AutoBot repairs its own harness, independently validates the changes, and carries them forward. The next workflow inherits the improvement. Compounding capability, without retraining the model.

Your knowledge outgrows the context window. Hierarchical memory lives on disk; task-specific retrieval builds the working context. Nightly consolidation integrates new knowledge and corrections. Your agent accumulates institutional memory across projects and conversations.