OpenClaw setup on 8-year-old Raspberry Pi with $0 spent
A developer documented their experience running OpenClaw on an 8-year-old Raspberry Pi for three weeks with minimal expenditure.
Hardware and Setup
The system runs on a Raspberry Pi 4 with 8GB of RAM, operating 24/7. Total cost spent on the setup is $0, except for a $4 ChatGPT Go plan used for instructions.
Skills and Components Configured
- Basic skills: ClawHub, Notion, GOG, Whisper (running locally), and Nano Banana
- Setup described as challenging on Raspberry Pi hardware
Memory System Implementation
- Human-like memory system with daily memory, consolidation, and long-term memory
- SQLite structured memory storage
Agent Architecture
- Five total agents: 1 main agent and 4 subagents
- Each agent has its own local memory
Documentation and Content
- Complete setup process documented on YouTube (covering skills setup)
- Minimal blog created in response to subscriber request for written guide
- Blog focused only on implemented functionalities
Automated Content System
- Built a complete automated AI Content Studio on Notion
- Designed to be completely managed by OpenClaw agents
- Not yet in active use but planned for testing
Current Status and Next Steps
- Maxed out ChatGPT usage this week due to extensive instructions to all five agents
- Planning to test system with different models
- Researching strategies to lower API costs and optimize model performance for different tasks
- Seeking tips on cost reduction and performance optimization
📖 Read the full source: r/openclaw
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