Reef Open-Sourced: An Inference Server That Continually Learns and Self-Improves Your Agents
pliang279 · x · 2026-09-02
Paul Pu Liang (CMU) and colleagues open-sourced Reef, infrastructure that turns inference into a continual learning loop: agents route model requests to Reef's inference endpoint instead of the provider's, and Reef continuously evaluates agent behavior and improves the served harness and model weights in the backend—so systems keep improving from deployment feedback instead of staying frozen after training.
- Agents can be downloaded via curl like codex or opencode
- Supports SAO, TTT-Discover, OpenClaw RL and more
- Open source on GitHub (Human-Agent-Society/reef) with recipes, tutorials, and artifact/checkpoint management
Related event: CMU Researchers Open-Source Reef for Continuously Self-Improving Agents(3 posts)→
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