Agent Harness Architecture: Runtime Controls Around an AI Agent
A practical model of agent harnesses: tool execution, context assembly, sandboxing, state, and bounded error recovery.
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A practical model of agent harnesses: tool execution, context assembly, sandboxing, state, and bounded error recovery.
A practical pattern for preserving project context across agent sessions: concise, versioned notes with sources, review, and a clear loading policy. How it complements retrieval and Claude Code memory.