Prime Agent
Prime Agent is an open-source coding and research agent for general and long-running work, built around a persistent Python REPL and a continual harness that stores durable state. It solves the problem of context loss and task interruption by keeping goals, memories, and subagents alive across turns and terminal sessions. It is for developers and researchers who need autonomous, long-running agents for coding and evaluations.
✨ Key features
- Persistent Python REPL as the built-in model tool
- Built-in subagents via rlm(...) for parallel work
- Continual harness with /refine for evidence-backed updates
- Skills as importable Python packages with creator
- Daemon-backed sessions that run in the background
- Direct agent-to-agent communication and orchestration
🎯 Use cases
- Running long-running coding tasks that survive terminal disconnects
- Conducting research evaluations with autonomous agents
- Creating reusable skills from recurring workflows
- Orchestrating multiple agents that communicate directly
- Maintaining persistent goals and context across sessions
📦 Installation
🧰 Requirements: macOS or Linux; requires authentication via /login with a subscription or API-key provider.
curl -fsSL https://app.primeintellect.ai/prime-agent/install.sh | sh
🚀 Usage
cd /path/to/project
prime-agent
On first launch, run /login to choose a subscription or API-key provider.
⚠️ Good to know
Prime Agent executes model-generated code with your user permissions and is not a security sandbox; run untrusted code in an external sandbox.
❓ FAQ
How do I install Prime Agent?
Run the curl installer script from the README on macOS or Linux, which installs the prime-agent command.
Can I run agents in the background?
Yes, sessions are daemon-backed and keep running when the terminal disconnects; you can reattach with prime-agent attach.
How does the agent improve itself?
The /refine command reviews the current trajectory and can apply small, evidence-backed updates to supplemental harness state, with rollback support.
Is Prime Agent secure?
It executes model-generated code with your permissions and is not a sandbox, so you should only use trusted repositories and run untrusted code in an external sandbox.
📊 Repository
🤖 Overview, features, install steps and FAQ were generated from the project's README on Sep 4, 2026. Always check the original source before running commands.