Tag
agent harness
An agent harness is the layer around an LLM agent that handles tool calls, tracing, evals, workflow control, and recovery. For product teams, reliability depends less on the model alone and more on this surrounding system.
4 articles
AI Agent/Jun 27
OpenClaw shows the agent control layer matters more than the model
OpenClaw and Hermes prove agents need a control layer, not just a model.
Model Releases/May 18
Why MiniMax M2.7’s Self-Evolution Claim Matters More Than Its Benchma…
MiniMax M2.7 matters because it turns model improvement into an agentic workflow, not just a benchmark race.
AI Agent/Apr 3
Hermes Agent: The Agent Harness Framework to Watch
Hermes Agent aims to make agent testing and orchestration easier, with tool use, evals, and workflow control in one stack.
Industry News/Apr 1
Agent Harness Is Quietly Defining AI Engineering
Martin Fowler, Anthropic, and OpenAI are all pointing to the same idea: agent reliability depends on the system around the model.