The blog
Get more from your team
Field-tested tips for every agent package — what to set up first, why it matters, and what good looks like.
Agent Dreaming: How Your AI Agents Learn While They Sleep
OpenClaw's REM (Reflective Experience Memory) system lets your agents consolidate knowledge between conversations — promoting short-term observations into lasting expertise.
Memory & Context Settings: A Complete Guide to Agent Memory on Bot It Out
We just shipped a unified Memory & Context section in your dashboard. Here's what each setting does, which ones to enable, and the recommended configuration for most users.
QMD: Give Your AI Agent a Search Engine for Its Own Memory
Default vector search misses exact keywords. QMD adds BM25 full-text search, vector similarity, and LLM re-ranking — all running locally on your instance with zero API keys.
Lossless-Claw: Stop Your AI Agent from Forgetting Long Conversations
Standard context windows lose old messages as conversations grow. Lossless-Claw preserves every message using DAG-based summarization, so your agent never loses track of what was said.
Want these in your inbox?
Every release in plain English, once or twice a month — plus posts like this one.