Uploaded June 2026 | Updated September 2026, 2 weeks ago
🚀 The LangChain 10 Days FREE Bootcamp is live: 10 lessons, free AI models only, from your first API call to a production grade RAG agent. Start with Day 0 for the roadmap and setup.
📺 Full playlist: youtube.com/watch?v=KJ3_NExk7-Q&list=PLW4pPr9JCovI&index=1
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Learn how to set up a self-improving agent in OpenClaw — it remembers your corrections and applies your preferences automatically in every new session.
This tutorial starts with the exact problem: you correct your agent's output format, it works once, but the next session it reverts. Then step by step: install the self-improving agent skill from ClawHub, configure the self-improvement hook in openclaw.json, restart the gateway, and verify it's active. Once set up, OpenClaw reads learnings.md at every startup and applies your stored preferences without you having to repeat yourself.
⏱ Chapters:
0:00 Intro — Self-Improving Agent in Action
0:51 The Problem — Agent Forgets Your Corrections
1:56 Install the Self-Improving Skill from ClawHub
3:02 Explore the .learning Directory Structure
4:31 Configure openclaw.json Hooks
5:29 Restart Gateway and Verify the Setup
6:14 Test — Agent Now Remembers Your Preferences
7:55 Outro
🔗 Resources:
Self-Improving Agent Skill (ClawHub): [SHARE THE CLAWFHUB URL AND I WILL REPLACE THIS]
OpenClaw Tutorials Playlist: youtube.com/playlist?list=PLc2rvfiptPSQMZf3rlYZZ8vwUBcm6jv4d
📺 Watch next:
OpenClaw Memory Setup with Mem0 → youtube.com/watch?v=c157x7Pc8xw&list=PLc2rvfiptPSQMZf3rlYZZ8vwUBcm6jv4d
🎓 Go deeper — my Udemy course:
Agentic AI: Deploy LangChain v1 Agent Projects to Production → kgptalkie.com/ai-agent-projects
If this helped, like the video and subscribe for more OpenClaw tutorials. Drop a comment if you get stuck on the hook configuration — I read and reply to every comment.
#OpenClaw #SelfImprovingAgent #AIAgent
🚀 The LangChain 10 Days FREE Bootcamp is live: 10 lessons, free AI models only, from your first API call to a production grade RAG agent. Start with Day 0 for the roadmap and setup.
📺 Full playlist: youtube.com/watch?v=KJ3_NExk7-Q&list=PLW4pPr9JCovI&index=1
----------
Learn how to set up a self-improving agent in OpenClaw — it remembers your corrections and applies your preferences automatically in every new session.
This tutorial starts with the exact problem: you correct your agent's output format, it works once, but the next session it reverts. Then step by step: install the self-improving agent skill from ClawHub, configure the self-improvement hook in openclaw.json, restart the gateway, and verify it's active. Once set up, OpenClaw reads learnings.md at every startup and applies your stored preferences without you having to repeat yourself.
⏱ Chapters:
0:00 Intro — Self-Improving Agent in Action
0:51 The Problem — Agent Forgets Your Corrections
1:56 Install the Self-Improving Skill from ClawHub
3:02 Explore the .learning Directory Structure
4:31 Configure openclaw.json Hooks
5:29 Restart Gateway and Verify the Setup
6:14 Test — Agent Now Remembers Your Preferences
7:55 Outro
🔗 Resources:
Self-Improving Agent Skill (ClawHub): [SHARE THE CLAWFHUB URL AND I WILL REPLACE THIS]
OpenClaw Tutorials Playlist: youtube.com/playlist?list=PLc2rvfiptPSQMZf3rlYZZ8vwUBcm6jv4d
📺 Watch next:
OpenClaw Memory Setup with Mem0 → youtube.com/watch?v=c157x7Pc8xw&list=PLc2rvfiptPSQMZf3rlYZZ8vwUBcm6jv4d
🎓 Go deeper — my Udemy course:
Agentic AI: Deploy LangChain v1 Agent Projects to Production → kgptalkie.com/ai-agent-projects
If this helped, like the video and subscribe for more OpenClaw tutorials. Drop a comment if you get stuck on the hook configuration — I read and reply to every comment.
#OpenClaw #SelfImprovingAgent #AIAgent
