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openclaw-workspace-template

kindomLee

Production-tested workspace template for OpenClaw AI agents.

Open kindomLee/openclaw-workspace-template → Checked against the four rules.

ai-agentllmmemory-architectureopenclawworkspace-template

Works with any agent

ships AGENTS.md, the cross-tool instruction file.

In its own words

AboutkindomLee/openclaw-workspace-template

Memory architecture, self-improvement, sub-agent delegation, and soul evolution — extracted from 4+ months of real usage.

README.md

Production-tested workspace template for Claude Code (and OpenClaw) AI agents, extracted from a real agent running 4+ months in production.

A fresh OpenClaw agent is stateless — it wakes up, helps you, and forgets everything. This template turns it into something that persists, learns, and improves over time.

What You Get

  • 🧠 Your agent remembers — Daily logs (memory/YYYY-MM-DD.md) + curated long-term memory (MEMORY.md) with priority levels (P0/P1/P2) and auto-expiry. It reads yesterday's and today's logs every session.
  • 🔧 Your agent learns from mistakes — A three-tier self-improvement system (repair / optimize / innovate) tracks errors, corrections, and knowledge gaps. Problems that recur 3+ times auto-promote to long-term memory.
  • 🤖 Your agent delegates — Battle-tested sub-agent patterns with result verification and delivery confirmation. Main agent stays focused while sub-agents handle heavy lifting.
  • 🌙 Your agent dreams — Weekly "cold memory association" finds cross-domain insights by randomly pairing unrelated memories. Weekly "rumination" (Wed 21:03) detects contradictions between recent and long-term memory. Monthly auto-archival keeps memory fresh.
  • 📋 Your agent maintains itself — Routine checks framework (Type A: fixed logic / Type B: needs LLM) so your agent doesn't waste tokens on things a shell script can do.

The repository's own description, then 19% of its README. Read the rest on GitHub ↗

Read from the repository's git tree on 2026-08-17.