Prime Intellect Releases Prime Agent: Open-Source RLM Harness with Persistent IPython Kernel

Prime Intellect has released Prime Agent, an open-source reinforcement learning model (RLM) harness where sub-agents are implemented as function calls inside a persistent IPython kernel, rather than spinning up separate processes or sandboxes. This architecture allows agents to maintain state across tool calls, dramatically simplifying multi-step coding and data analysis workflows. For developers building agentic coding assistants or data science automation, the persistent kernel approach solves a real pain point: most agent frameworks lose context between steps and struggle with iterative computation. Prime Agent is fully open-source, making it an accessible reference implementation for anyone building custom agent runtimes. Its RL-based training harness also offers a concrete example of how to train agents on code-execution feedback loops.