19 August 2026
Open-source reinforcement learning framework Miles launches publicly
First reported
Latent Space and VentureBeat ran this on , all on the same day.
- Miles, a reinforcement learning framework built over nine months by 72 contributors, became publicly available as open-source software.
- The framework is designed to work with large language models and multimodal models, which process text, images, and other data types together.
- Miles positions itself as infrastructure for building AI agents, systems that can take actions and learn from results.
How it was covered
Latent Spaceswyx & Alessio
Miles, an open-source RL framework developed over nine months with 72 contributors, launched as battle-tested infrastructure for LLMs and multimodal models. The newsletter presents it as a major OSS contribution to the agent harness ecosystem.
Reported by VentureBeat