Reflexio

Reflexio adds a learning loop around an existing AI agent. The agent publishes interactions, and Reflexio analyzes corrections, failed paths, and successful outcomes to extract actionable behavior signals. During later runs, the integration retrieves relevant signals and places them in context, so an agent can apply lessons to similar situations without retraining its model. Teams can connect through a lightweight Python SDK, REST API, or command-line interface. The workflow includes a learning store where signals are consolidated and conflicts resolved. Teams can review, approve, reject, or revoke individual learnings; rejected rules are removed from retrieval. Reflexio also compares a candidate response with an unaugmented control response to help assess whether a learning improved the result. The product is intended for developers building coding, sales, analytics, recruiting, and other AI agents that need to adapt to real interaction patterns. It supports a hosted service and an open-source local setup. Organizations can also bring their own cloud, database, or model credentials, giving them options for where learning data is stored and processed.