prime-agent-rlm

Prime Agent is an open-source coding and research agent for general and long-running work. It is designed around two core abstractions: the Recursive Language Model (RLM) and the Continual Harness. The RLM treats context as variables and tools like recursive subagents as function calls inside a persistent REPL. Everything is programmatic: a persistent Python REPL is the built-in model tool, and file operations, shell commands, tool use, subagents, and context management happen through code. Subagents are built in, with rlm.spawn(...) spawning real child agents for parallel or background work.

The Continual Harness stores supplemental prompts, memories, skill descriptions, and reusable subagent specifications as durable state that Prime Agent can refine through small, evidence-backed updates, local to the session by default. The /refine command reviews the current trajectory and can apply small, evidence-backed updates to supplemental harness state; it never rewrites the immutable base system prompt. Skills are executable as importable Python packages, and the built-in skill creator can turn recurring workflows into project or personal skills.

Prime Agent is built for long-running work, especially for evaluations in research. Sessions run in the background with daemon-backed agents that keep running when the terminal disconnects and can be reattached later. Long tasks keep moving through automatic compaction, persistent goals, heartbeats, schedules, autonomous mode, and retained subagents.