Learn how to observe AI agents with OpenTelemetry traces, evals, guardrails, and FinOps metrics tied to one agentic harness run ID before production fails.
Context compaction summarizes long AI agent chats before they hit the context limit. Here is how OpenClaw does it, and the config knobs you actually control.
MCP connects AI agents to tools and data, A2A handles agent-to-agent delegation, ACP explains enterprise interoperability patterns, and SLIM focuses on secure real-time messaging.
The OpenClaw context engine decides what your AI agent sends to the model. Learn its 4 lifecycle hooks, the legacy default, and its quarantine failsafe.
How OpenClaw sessions work: message routing by origin, the dmScope setting that stops DM leaks, session lifecycle and resets, and where state lives on disk.