Reflexio

What is Reflexio?

Reflexio is a learning platform that makes AI agents improve from real usage. Instead of storing static memories, it captures user corrections, failed paths, and successful outcomes, then turns them into behavioral rules the agent reads before its next run. Nothing is retrained. Each learning is visible, testable, and can be rejected.

Top Features:

• Behavior extraction: corrections and outcomes become reusable rules with clear triggering conditions.
• Shared playbooks: lessons that repeat across users are pooled so every run benefits.
• Evaluation controls: each learning is scored against baseline responses and can be rejected.

Use Cases:

• Coding assistants: turn repeated developer corrections into project specific skills and preferences.
• Support agents: learn from human expert replies so escalations drop over time.
• Sales and recruiting bots: remember what worked in past conversations and repeat it.

Who Can Use Reflexio?

• Agent developers: wrap existing LLM calls with the Python SDK or REST API.
• Product teams: watch live agent traces and approve which lessons go into production.
• Regulated companies: self host on AWS, GCP, or Azure and keep data private.

Pricing

• Free ($0): 100 learnings, 1000 searches monthly, and a 30 day Pro trial.
• Pro ($299 per month): 10000 learnings, 100000 searches monthly, and priority support.
• BYOC (custom quote): self host in your cloud with your own LLM and storage.

Pros and Cons

Pros:

• No retraining: behavior changes at runtime, so improvements ship in minutes not weeks.
• Reversible learnings: any rule can be inspected and switched off if it misbehaves.
• Open core: the Apache 2.0 package runs locally with SQLite for development.

Cons:

• Python only SDK: teams on other languages must go through the REST API.
• Price jump: the leap from free to 299 dollars monthly is steep.
• Needs traffic: agents with few real interactions have little to learn from.

FAQs:

1) Does it retrain my model?

No, learnings are retrieved at runtime and injected into the agent context.

2) Is there a free plan?

Yes, the free tier includes 100 learnings monthly plus a 30 day Pro trial.

3) How do I integrate it?

Wrap existing LLM calls with the Python SDK, or call the REST API.

4) Can I self host it?

Yes, a BYOC option runs on AWS, GCP, or Azure.

5) What results do users report?

Case studies report over 30 percent fewer failures and about 60 percent token savings.