PrimeIntellect-ai / prime-agent Self-improving RLM agent

Coding workflows and long-running tasks

The run that teaches the next run.

prime-agent is a self-improving RLM agent for coding workflows and long-running autonomous tasks. The point of finishing a task is what the agent takes into the one after it.

01 attempt 02 outcome 04 next run 03 update
prime
agent
the loop

Quadrant labels name the shape of a self-improving loop. Stage names are a design choice, not project API.

Self-improving

The agent changes because of what it did, so improvement is a product of running rather than a release note.

RLM

Reinforcement over a language model puts outcome signal, not just instruction, into what the agent becomes.

Coding workflows

Software work has cheap verification built in, which makes it a reasonable place to close a learning loop.

Long-running

Autonomous tasks that span hours are where a loop can actually accumulate something worth keeping.

PrimeIntellect-ai/prime-agent Design study by Goose. Not affiliated with the project.