Agensh: scaling organizational intelligence to 1,024 agents

Decentralized multi-agent harness with no central orchestrator: workers self-claim subtasks and coordinate through a shared workspace, message bus, and shared context. Agent count acts as a new scaling dimension — on the hardest ProgramBench tasks with GPT-5.6-sol, going from 1 to 128 agents lifts mean pass rate from 19.31% to 28.78%, and the pandoc task goes from 33.89% to 55.06% at 1,024 agents with self-organized cooperation patterns emerging as the organization grows.