AI/agentssrc: community/Anthropic
harness
The 'cockpit' bolted around an AI model so it can actually do things — click tools, remember context, take steps — instead of just chatting.
The runtime/scaffolding around an LLM: tool dispatch, context management, and the agent loop (plan → act → observe). Colloquially 'MCP for agents'.
The agent execution environment hosting an LLM: tool/permission brokering, context-window and memory management, the perceive-decide-act control loop, and integration wiring (e.g. MCP servers). Distinct from the model weights.