OpenClaw Lossless Context: How It Works
Your OpenClaw summarizes conversations when the context window fills up, but that summarization crushes the details. The longer you talk, the more it forgets. Pete Steinberger recommended a plugin called LCM (Lossless Context Management) that replaces flat compaction with layered summaries where nothing is ever lost. The install is one line. I walked through how it works, set it up live, and then combined it with Telegram topics for per-project sessions. The cross-reference capability is wild; you can pull context from any previous conversation into whatever topic you're working in right now using lcm_grep across all sessions. LEARN OPENCLAW I'm hosting an exclusive in-person OpenClaw Bootcamp with Alex Finn. Small group. Hands-on. Everything from setup to advanced workflows. Seats are extremely limited. Join the waitlist: https://startmy.ai Join our Discord: https://rfer.me/discord GET THE TOOLS OpenClaw: https://openclaw.ai Lossless Claw Plugin: https://github.com/Martian-Engineering/lossless-claw Key moments 00:00 The AI Memory Problem 00:32 Context Window and Token Limits 01:13 Layered Summaries Solution 02:06 Lossless Claw Plugin Installation 02:35 LCM with Telegram Topics 03:26 Cross-Session Search Example 04:05 Plugin Configuration Options 04:30 OpenClaw Chrome Integration 05:09 Live AI Browser Control Demo 05:58 One-Line Install Recap CONNECT WITH RAY X (Twitter): https://x.com/RayFernando1337 Full Livestream: https://www.youtube.com/live/_aXfcVO6Pbs?si=rdXgT-xMmcUWOUnt #OpenClaw #LCM #LosslessClaw #AIAgent #ContextWindow #AIMemory #AICoding #Programming #AITools #OpenClawPlugins
