Documentation and analysis of AI agent architectures
Last updated: 2026-02-14
Deep comparison of prompt engineering across brainpro (modular YAML), openclaw (monolithic MD), and demiurg (phase-specific). Covers agent loops, doom loop detection, and model routing.
Side-by-side comparison of architecture patterns, design philosophy, and implementation details across all agent systems.
Personal AI assistant gateway. WebSocket control plane, multi-channel inbox (WhatsApp, Telegram, Slack, Discord, Signal), Voice Wake, Live Canvas, and Clawnet protocol unification.
Distributed AI service mesh. Model routing, task-based agent selection, workspace memory, doom loop detection, and cost optimization patterns.
Character-centric agent framework. Memory systems, action/evaluator plugins, multi-platform deployment (Discord, Telegram, Twitter), and autonomous agent patterns.