PRIME AGENT: A SELF-IMPROVING RLM AGENT

Summary from the TLDR AI newsletter

Prime Agent is a self-improving coding harness designed around the Recursive Language Model (RLM) and Continual Harness. The RLM treats context as a variable and subagent delegation as function calls inside a REPL. The persistent REPL gives the model programmatic access to its history, sub-agents, and tools, allowing it to write language model programs as actions over its own context. Continual Harness treats the harness' state as something the agent can create, read, update, and delete from its own trajectory. These abstractions make Prime Agent an effective general coding assistant, a default runtime for long-horizon autonomous evaluation, and a collaborator for research and autoresearch.