Reflexio

Reflexio is a learning platform for AI agents. Instead of just storing conversation logs or facts, it watches how users correct an agent, where the agent fails, and what successful outcomes look like. From those signals, it extracts behavioral rules — things like "check the full refund window before resolving a single charge" — that the agent can reuse in future interactions. Every rule is visible, auditable, and can be revoked instantly if it doesn't work.

The platform works as a loop: your agent publishes what happened in a conversation, Reflexio extracts what to do differently, and the next time the agent faces a similar situation it retrieves the relevant rules. Nothing is retrained — the agent's underlying model stays the same, but its behavior improves over time. Reflexio also scores each rule against a control response before you rely on it, and a background process resolves conflicting learnings to prevent drift. Integration is straightforward: wrap your existing LLM calls with the SDK, or use the REST API or CLI. Deployment options range from fully managed to fully self-hosted, including bring-your-own-database and bring-your-own-cloud.

Reflexio is built for teams that deploy AI agents in production — customer service bots, coding assistants, sales agents, data analysts, and similar. It's especially useful when you need to improve agent behavior without retraining models or manually editing prompts. The platform gives developers and product managers a clear view of what the agent has learned, how well those learnings perform, and full control to accept or reject changes. If you're tired of agents repeating the same mistakes, Reflexio offers a practical way to make them learn from real interactions.