Startup
OpenPipe (ART)
ART: open-source reinforcement learning trainer for multi-step agents.
OpenPipe maintains ART (Agent Reinforcement Trainer), an open-source (Apache-2.0) RL framework that lets LLM agents learn from experience by integrating GRPO into any Python application. Project news covers a LangGraph integration, MCP-RL for training models to use MCP server tools, AutoRL for zero-data training and RULER for LLM-judged rewards. The README also promotes W&B Training (Serverless RL), a managed service for running ART training and inference. Supported open models include Qwen, GPT-OSS and Llama.
People
Co-founder; leads OpenPipe team at CoreWeave
Harness engineering
Co-founder
Harness engineering
In research (1)
Oct 26, 2026 · OpenPipe's ART trains multi-step agents with group-relative RL; FOCUS proposes a critic-based alternative for credit assignment.
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Connections
Relations from the Harness Hub knowledge graph, as charted in the State of Harness reports.
Built on · 2
- LangGraphProject
- Model Context ProtocolProject
Similar entries · 1
- Agent LightningProject
Sources
Verified Oct 29, 2026