Skip to content
#

agent-harnesses

Agent harnesses are the runtime scaffolding around AI agents. They usually combine context delivery, tool interfaces, planning state, memory, sandboxes, permissions, evaluation, and observability so agents can complete longer tasks reliably. Agent harnesses are especially common in coding agents, research agents, and multi-agent workflows where repeatability, safety, and traceability matter.

Here are 11 public repositories matching this topic...

An agent harness that carries a change from an intent to a branch you can merge — specified, produced in isolation, verified by your project's own commands, reviewed independently, accepted on evidence.

  • Updated Sep 15, 2026
  • Python