World Model Optimizer: continuously improve models from agent traces
A command-line tool that uses collected agent traces to tune routing policies and improve served models through world-model simulations, harness optimization, and distillation.
online B2B Deep Tech / Infrastructure
From ManuAGI - AutoGPT Tutorials — Top Open-Source GitHub Projects : bitchat, Dokku, Mole, Box3D, Kaneo & GeoLibre #279 at 09:00
Problem: Agent traces can be collected without being converted into an ongoing model-improvement process.
For: Teams operating AI agents that already collect execution traces and want to improve their models continuously.
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