Swarm Engine RL (swerl) is a Python framework designed for training swarms of LLM agents using reinforcement learning. It supports techniques such as RLHF and post-training for multi-agent systems. Released under Apache-2.0 and hosted on GitHub.
swerl sits in PulseGate's AI & ML category. It focuses on training swarms of LLM-based agents using reinforcement learning techniques. swerl is an open-source project aimed at AI researchers. The project is open source (Apache-2.0). swerl is available on the command line.
alexngai builds and maintains swerl, and it first shipped in 2026. Key capabilities include Reinforcement Learning, Multi-agent Training, and RLHF.
Summary written by a language model from the project’s public pages.
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