Tutorials and examples for MiniClaw OS — the cognitive architecture for autonomous AI agents.
- Your First Agent — Install MiniClaw OS and run your first autonomous task
- Memory Basics — Teach your agent to remember across sessions
- Kanban Brain — Set up autonomous task planning and execution
- Self-Reflection — Enable nightly learning from the day's work
- Multi-Channel — Telegram + CLI + Web + Cron all at once
- Plugin Development — Write your own cognitive modules
- Self-Repair — How agents debug and fix themselves
- Agent Identity — Persistent personality and values
AI agents don't fail because of the model. They fail because they lack memory, planning, and continuity. MiniClaw OS is the missing architecture layer.
- MiniClaw OS — the cognitive architecture
- miniclaw-agents — pre-built agent configs
- miniclaw-memory — standalone memory plugin
Apache 2.0