agent-reflection

Learn to build and customize multi-agent systems using the AutoGen. The course teaches you to implement complex AI applications through agent collaboration and advanced design patterns.

Self-improving behavioral files for AI coding agents. Analyzes session transcripts for correction patterns and makes surgical edits to prevent recurrence.

AI Agent Architectures is the complex structures that shape how machines perceive, reason, and act in their environments in the pursuit of autonomous intelligence.

AI agent task postmortems and execution reflection for Pi coding agents, with pre-compaction checkpoints and Markdown reports.

Reflexion architecture maintaining episodic failure memories and verbal reinforcement learning signals