AI product Open source
Reflexio is a learning platform for AI agents that turns user corrections, failed paths, and successful outcomes into reusable behavioral changes without retraining the underlying model. Its SDK and integration loop publish interaction outcomes, extract actionable feedback, store learned behaviors, and retrieve only relevant learnings during later inference; integrations are available through Python, REST, a CLI, and a portable coding-agent skill.
Reflexio evaluates learnings against control responses and user-defined success criteria, tracking whether they solved the user's problem, required correction, or escalated to a human. It makes learnings auditable and revocable: they can be reviewed, rewritten, approved, rejected, or deleted, with rejected learnings removed from retrieval. Background processes consolidate duplicate signals and resolve conflicts or outdated lessons, while evidence from later sessions is used to revise learnings.
The service supports managed, bring-your-own-key, customer-owned database, bring-your-own-cloud, and fully self-hosted deployments. The page identifies an official repository at github.com/ReflexioAI/reflexio and states that the same API can be used across deployment modes.
1 use taken from transcripts — each links to the moment in the video.
A learning platform that helps AI agents improve from corrections, failed paths, and successful outcomes without retraining the underlying model. Its SDK records learnings, evaluates whether they improve responses, manages conflicts and outdated lessons, and supports managed or self-hosted deployments.
1 in the library.