Reflexio
Help AI agents learn continuously from corrections and results
About Reflexio
Reflexio is a learning platform for AI agents that turns user corrections, failure paths, and successful results into reusable behavior changes. It offers lightweight SDK, Python, REST, and CLI integrations, along with tools to review learning content and its evidence, and to rewrite, approve, reject, or delete it. The platform ranges from fully managed deployment to self-hosting, making it suitable for teams that want to continuously improve agent behavior while retaining human control.
Best for
Best use cases
Turn user corrections into reusable behavior
Integrate with existing LLM calls
Review and manage agent learning
Deploy in managed or self-hosted environments
Features
Learning loop
Turn user corrections, failure paths, and successful results into reusable behavior changes for agents.
Review and control
Review learning content and its evidence, and rewrite, approve, reject, or delete it.
Multiple integration methods
Connect through a lightweight SDK, Python, REST, or CLI.
Flexible deployment
Support deployment from fully managed to fully self-hosted, with no change to the API called by agents.
Pros
- Review evidence and rewrite, approve, reject, or delete learning content
- Connect existing LLM calls with a lightweight SDK without rewriting the agent
- Support deployment from fully managed to fully self-hosted
Pricing Plans
Free
- 100K input tokens / month
- 100 learnings generated / month
- 1,000 search requests / month
Pro
- 10M input tokens / month
- 10K learnings generated / month
- 100K search requests / month
* Pricing information is for reference only. Please refer to the latest announcement on Reflexio's official website.