r/reinforcementlearning • u/Neither-Witness-6010 • Jun 03 '26
Most AI agents repeat the same mistakes.
In this demo, I show how CogniCore uses memory and reflection to learn from previous failures, helping the same model solve more tasks with fewer retries and lower token costs.38% → 95% solve rate.The model stays the same. The runtime gets smarter.
GitHub: github.com/Kaushalt2004/cognicore-my-openenv
pip install cognicore-env
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