OpenPipe
Reinforcement learning tooling, including the ART library, to train better agents.
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Use cases
About OpenPipe
OpenPipe is listed in our frameworks category and is aimed at builders. Reinforcement learning tooling, including the ART library, to train better agents. Pricing, as the maker states it: Open source + cloud. Maturity: Mature. We last checked the official link on 2026-10-16.
What is OpenPipe?
OpenPipe makes reinforcement-learning tooling for training better agents, including the open-source ART library for training multi-step agents on real-world tasks with GRPO.
Its README also describes W&B Training (Serverless RL), a hosted service that manages training and inference infrastructure so you focus on data, environment and reward function.
Sources: the official README and our directory listing, checked 2026-10-18. Official site: openpipe.ai.
Who is OpenPipe for?
ML engineers who want to train agents with RL without building the training infrastructure themselves.
OpenPipe at a glance
- Open source: Yes (Apache License 2.0)
- GitHub: OpenPipe/ART · 10,815 stars (as of Oct 21, 2026)
Key features
- ART library for multi-step agent RL (GRPO)
- Serverless RL training service
- Open source plus cloud
OpenPipe FAQ
What is OpenPipe?
OpenPipe makes reinforcement-learning tooling for training better agents, including the open-source ART library for training multi-step agents on real-world tasks with GRPO.
Who is OpenPipe for?
ML engineers who want to train agents with RL without building the training infrastructure themselves.
Is OpenPipe free?
OpenPipe's pricing, as the maker states it: Open source + cloud. Open-source tools are free to use, though you may still pay for model API usage or a hosted plan. Check the official site for current plans.
Is OpenPipe open source?
Yes. OpenPipe is released under the Apache License 2.0, according to its GitHub repository.
What are alternatives to OpenPipe?
Similar tools include smolagents, AReaL, RAGEN, TanStack AI, RubyLLM and LangChain Deep Agents.
OpenPipe ratings and reviews
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OpenPipe alternatives
Other frameworks tools in our directory. See all frameworks tools →
smolagents
Hugging Face's minimal library for code-writing agents.
AReaL
Reinforcement learning system for training LLM-based agents.
RAGEN
Reinforcement learning framework for multi-turn LLM agents.
TanStack AI
Type-safe, provider-agnostic TypeScript SDK for chat, tool calling and agents.
RubyLLM
Ruby framework for working with LLMs, including chat, tools and agents, through one API.
LangChain Deep Agents
Library for long-running agents with subagents and skills; 0.7.23 (Oct 7) adds pinned_skills.
Related lists
🏆 See also: AutoGen alternatives · All best-of lists
🧭 Task guides: Training and fine-tuning tools for building AI agents
💲 Estimate API cost: compare per-request and monthly costs for GPT, Claude, Gemini and Grok models.
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