Recursive Experiential–Working Memory Evolution for Long-Horizon Agent Harnesses
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Updated
Aug 27, 2026 - Python
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.
Recursive Experiential–Working Memory Evolution for Long-Horizon Agent Harnesses
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