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About Reflexio

Reflexio is a self-improvement platform for AI agents that enables them to learn from real user interactions, corrections, and outcomes. It automatically extracts actionable learnings from conversation logs, such as failed paths and successful resolutions, and turns them into behavior changes that agents reuse across future sessions. The system operates through a publish-write-read-retrieve loop: agents publish their experiences, Reflexio evaluates and extracts lessons, stores them in a persistent learning store, and injects relevant signals back into the agent at inference time. This creates a continuous improvement cycle without requiring model retraining. Key capabilities include a self-tuning learning process that refines learnings based on evidence from new sessions, an evaluation framework to measure success metrics defined by the user, and full auditability and control over each learning. Reflexio integrates via a lightweight SDK (Python, REST, CLI) or a portable skill prompt for coding agents like Codex, Claude Code, or Cursor. It is designed for various agent types including coding assistants, sales assistants, data analysts, and recruiting agents, ensuring they stop repeating mistakes and adapt to evolving policies or product changes.