Prime-Agent Released: A Self-Improving RLM Harness for Coding Agents
willccbb · x · 2026-08-06
Prime Intellect has introduced Prime-Agent, a self-improving Recursive Language Model (RLM) harness designed specifically for coding and long-running autonomous tasks.
Key features of the framework include:
- Token-efficiency and expressiveness: Achieved through programmatic tool calling, context as a variable, multi-agent messaging, and a self-modifiable harness state.
- Three core concepts: It integrates RLM-native programmatic tool calling, persistent multi-agent orchestration, and a continual self-improving harness.
This combination allows the model to act on and optimize its own context and execution environment. Users can quickly install and deploy it via a single command line script provided by the team.
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