Free
Free
Recurring monthly limits; account-active retention
- Included scope
- 100 learnings; 1,000 searches/month
AI agent behavioral learning · Official-source review 2026-10-09
Reflexio extracts reusable behavioral learnings from agent interactions and retrieves them for future runs. It supports visible and revocable learnings rather than retraining the underlying model.
Useful for agent developers reviewing recurring corrections and the rules derived from them.
Pro $299/month includes 10,000 learnings and 100,000 searches; data is retained while the account is active. BYOC requires a custom agreement and separate LLM/storage resources. Retrieval can propagate a bad rule, so review conflicts and revoke unsuitable learnings. Behavior and token-cost improvements were not independently benchmarked.
Collect a permitted test interaction, review the extracted rule and compare runs with and without it before production retrieval.
Pro $299/month includes 10,000 learnings and 100,000 searches; data is retained while the account is active. BYOC requires a custom agreement and separate LLM/storage resources. Retrieval can propagate a bad rule, so review conflicts and revoke unsuitable learnings. Behavior and token-cost improvements were not independently benchmarked.
Official product evidence reviewed on 2026-10-09; product artwork inspected visually. No hands-on vendor application test was performed. Application performance, security claims and plan enforcement were not independently tested.
What it can do
Unknown is different from unavailable. Each fact carries its own evidence.
| Capability | Value | Evidence | Checked |
|---|---|---|---|
| Product workflow | Reflexio extracts reusable behavioral learnings from agent interactions and retrieves them for future runs. It supports visible and revocable learnings rather than retraining the underlying model. | Facts sourced | 2026-10-09 |
| Pricing and restrictions | Pro $299/month includes 10,000 learnings and 100,000 searches; data is retained while the account is active. BYOC requires a custom agreement and separate LLM/storage resources. Retrieval can propagate a bad rule, so review conflicts and revoke unsuitable learnings. Behavior and token-cost improvements were not independently benchmarked. | Facts sourced | 2026-10-09 |
Understand the total cost
Free
Free
Recurring monthly limits; account-active retention
Pro
$299.00 /mo
USD monthly; account-active retention
BYOC
Not listed
Custom agreement; own cloud, models and storage
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Explore toolThe practical questions
No. This listing is based on dated official-source evidence and a visual artwork check. Unconfirmed costs and restrictions are identified explicitly.
Reflexio extracts reusable behavioral learnings from agent interactions and retrieves them for future runs. It supports visible and revocable learnings rather than retraining the underlying model.
Free includes 100 generated learnings/month and 1,000 search requests/month, plus a separate 30-day Pro trial.. This record lists ongoing free access; check the plan limits before starting.
The listed monthly price is $299.00 USD at monthly billing. See the plan cards for entitlements, billing commitments and seat minimums.
Python SDK, REST and CLI retrieve-and-publish workflows are explicitly documented.. API access and subscription access may have different terms; consult the linked sources.
Pro $299/month includes 10,000 learnings and 100,000 searches; data is retained while the account is active. BYOC requires a custom agreement and separate LLM/storage resources. Retrieval can propagate a bad rule, so review conflicts and revoke unsuitable learnings. Behavior and token-cost improvements were not independently benchmarked.
No retained pricing changes yet. A current price alone does not establish a historical trend.
Current official product source read individually; product artwork inspected visually.
Read original source ↗Official pricing and billing restrictions read individually.
Read original source ↗Facts apply to the named version and check date. Send a sourced correction if something changed.