Prime Agent: A Self-Improving RLM Harness for Coding and Autonomous Tasks
xeophon · x · 2026-08-29
Prime Agent is a self-improving RLM (Reinforcement Learning Model) harness designed for coding and long-running autonomous tasks. It aims to be both token-efficient and expressive through several key features:
- Programmatic tool calling: Utilizes structured interfaces for tool interactions rather than relying solely on natural language.
- Context as a variable: Manages context as a variable to improve long-task handling.
- Multi-agent messaging: Supports communication and collaboration between agents.
- Self-modifiable harness state: Allows the system to modify its internal state to adapt to task requirements.
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