Posted inAI
What Is Context Compaction? How OpenClaw Keeps Long AI Chats Alive
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.
Posted inAI
What Is the OpenClaw Context Engine? How Your Agent Builds Model Context
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.
Posted inAI
OpenClaw Sessions Explained: Routing, Isolation, and When They Reset
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.
Posted inAI
OpenClaw Agent Memory: How Your AI Agent Remembers Across Sessions
OpenClaw agent memory keeps what your AI agent knows in plain Markdown files, then promotes durable facts automatically. Here's how it actually works.
Posted inAI
OpenClaw Multi-Agent Routing: Run Isolated AI Agents on One Server
Run multiple isolated AI agents on one server. OpenClaw multi-agent routing uses deterministic bindings to send each message to the right agent, no LLM.
Posted inAI
OpenClaw Architecture Explained: One Gateway, One Port, One Loop
OpenClaw architecture explained from the actual docs: how the Gateway, WebSocket control plane, agent loop, and device pairing work in one self-hosted process.
Posted inAI
What Is OpenClaw? The Self-Hosted AI Agent Gateway, Explained
OpenClaw is a self-hosted AI agent that connects your chat apps to an assistant you fully control. Here's what it is, how it works, and how to install it.
Posted inDevops Technical Blogs
OpenClaw Important Commands and Useful Tips to Keep It Fast (Memory + Compaction Guide)
A practical OpenClaw guide covering essential CLI commands, performance tuning, memory best practices, and compaction settings to keep sessions fast and stable.
Posted inAI
Lossless Claw: The OpenClaw Plugin That Gives Your AI Agent a Perfect Memory
Lossless Claw is an OpenClaw plugin that prevents AI agent memory loss by saving every message to SQL and organising history into a navigable DAG of summaries — giving your agent perfect recall in long sessions.
Posted inAI Technical Blogs
How to Fix Your OpenClaw’s Memory
Learn how to fix OpenClaw's memory issues — covering memory flush, session pruning, QMD retrieval, heartbeat cost optimization, and system prompt auditing for a faster, cheaper AI agent.