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openclaw-skill/openclaw-knowhow-skill/docs/agents/agent-loop.md
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6 custom skills (assign-task, dispatch-webhook, daily-briefing,
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Agent Loop Documentation - OpenClaw

Overview

The Agent Loop in OpenClaw represents a complete agent execution cycle, encompassing message intake through final reply persistence. An agentic loop is the full run of an agent: intake, context assembly, model inference, tool execution, streaming replies, and persistence.

Key Components

Entry Points: The system accepts agent requests via Gateway RPC (agent and agent.wait commands) and CLI.

Execution Flow: The process involves parameter validation, session resolution, metadata persistence, and model inference through the pi-agent-core runtime, which handles serialization and event streaming.

Queueing System: Runs are serialized per-session to prevent concurrency issues. Runs are serialized per session key (session lane) and optionally through a global lane.

Extension Mechanisms

OpenClaw provides two hook systems for customization:

  1. Internal Gateway Hooks - Event-driven scripts for commands and lifecycle events (bootstrap, commands)
  2. Plugin Hooks - Extension points including before_agent_start, agent_end, tool call interception, and message lifecycle events

Operational Details

  • Timeout defaults: 30 seconds for agent.wait; 600 seconds for agent runtime
  • Streaming: Assistant deltas and tool events are emitted as separate streams
  • Reply handling: Payloads are assembled from assistant text, tool summaries, and reasoning, with suppression of duplicate messaging tool outputs