- Hermes Agent: Every Command, Every Slash, Every Config
- AI Agent Memory Architecture: Build Persistent L1/L2 Memory That Survives Sessions (2026)
- Bridging OpenClaw with MetaTrader 5: Designing AI Agent Boundaries
- Architecting the OpenClaw to MetaTrader 4 Bridge: Low-Latency Risk Automation
- How to Run a Personal AI Assistant on Your Own Computer for Free
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Hermes Agent: Every Command, Every Slash, Every Config
Complete technical reference for Hermes Agent by Nous Research — all CLI commands, slash commands, 30+ toolsets, skills, cron, gateway, and subagent delegation with Schema.org structured data.
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AI Agent Memory Architecture: Build Persistent L1/L2 Memory That Survives Sessions (2026)
Quick Answer AI agent memory is the difference between a useful assistant and a disposable chatbot. Most AI agents — whether built on GPT, Claude, Gemini, or open-source models — forget everything between sessions. The context window is not storage; it’s RAM. I run a multi-agent system that manages trading, content publishing, smart home automation,…
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Bridging OpenClaw with MetaTrader 5: Designing AI Agent Boundaries
MT5’s full CLI compatibility — live prices, historical data, headless strategy testing — makes it the natural upgrade from MT4 for AI trading automation. Here’s how I bridged OpenClaw while keeping execution logic hidden.
