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  5. Agent Harness
Agents & Tool Use

Agent Harness

An agent harness is the surrounding software — the loop, tool-calling layer, sandboxing, and UI — that turns a raw LLM into a usable coding or task agent.

Ask Melo about this← all terms

The model itself only predicts tokens; the harness is what wires those tokens into actions: parsing tool calls, executing them in a sandbox, feeding results back into context, managing memory and compaction, and presenting output to a user. Claude Code, Codex CLI, Cursor, and OpenCode are all harnesses built around different underlying models — the same model can feel very different depending on which harness runs it.

Related terms

AgenticCoding AgentTool UseSandboxingSkillAction Space

Where Agent Harness comes up

  • Codex as a Platform: OpenAI Opens Up Its Agent Harness to Builders
  • YC Open-Sources QM: Company-Wide Multi-Agent Harness
  • jcode Agent Harness: Swarm, Memory Graph, and Multi-Session RAM Efficiency
  • Pi Agent Harness: Mario Zechner's Minimal Coding Agent You Can Own (2026)