Echo

About

Echo is a research framework that transforms noisy AI agent experience data into high-quality training datasets through iterative human feedback. It addresses the challenge of learning from imperfect interaction logs by enabling users to review, correct, and refine agent behaviors post-hoc. Particularly valuable for improving autonomous agents that need to learn from real-world deployments where initial data may be incomplete or suboptimal.

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