{"name":"Prime Agent: A Self-Improving RLM Agent for Coding and Autonomous Tasks","description":"Prime Agent is an open-source, self-improving Recursive Language Model (RLM) agent designed for coding workflows and long-running autonomous tasks. It integrates a persistent Python control environment with a durable harness state, allowing useful context and reusable patterns to persist across sessions. Built in Rust, this project aims to enhance developer productivity through programmatic control and autonomous capabilities.","github":"https://github.com/PrimeIntellect-ai/prime-agent","url":"https://osrepos.com/repo/primeintellect-ai-prime-agent","source":"osrepos.com","sourceDescription":"This repository profile is provided by osrepos.com, an open source repository discovery platform.","repositoryProfile":"https://osrepos.com/repo/primeintellect-ai-prime-agent","generatedFor":"open source discovery and AI-assisted research","markdown":"https://osrepos.com/repo/primeintellect-ai-prime-agent.md","json":"https://osrepos.com/repo/primeintellect-ai-prime-agent.json","topics":["Rust","AI Agent","LLM","Autonomous Agent","Coding Assistant","RLM","Developer Tools"],"keywords":["Rust","AI Agent","LLM","Autonomous Agent","Coding Assistant","RLM","Developer Tools"],"stars":null,"summary":"Prime Agent is an open-source, self-improving Recursive Language Model (RLM) agent designed for coding workflows and long-running autonomous tasks. It integrates a persistent Python control environment with a durable harness state, allowing useful context and reusable patterns to persist across sessions. Built in Rust, this project aims to enhance developer productivity through programmatic control and autonomous capabilities.","content":"## Introduction\n\nPrime Agent is an open-source coding and research agent built for general and long-running work. It is designed around two core abstractions:\n\n*   The **Recursive Language Model (RLM)** treats context as variables (prompt-as-a-variable) and tools like recursive subagents as function calls (programmatic tool/sub-agent calling) inside a persistent REPL.\n*   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.\n\n## Why Use and Key Benefits\n\nPrime Agent combines a persistent Python control environment with durable harness state, so useful working context and reusable operating patterns can outlive a single chat window. Key benefits include:\n\n*   **Everything is programmatic:** A persistent Python REPL is the built-in model tool; file operations, shell commands, tool use, subagents, and context management happen through code.\n*   **Subagents are built in:** `rlm.spawn(...)` spawns real child agents for parallel or background work and returns their results programmatically.\n*   **The harness can improve:** `/refine` reviews the current trajectory and can apply small, evidence-backed updates to supplemental harness state. It never rewrites the immutable base system prompt, and recorded snapshots support rollback.\n*   **Skills are executable:** Skills are importable Python packages, and the built-in skill creator can turn recurring workflows into project or personal skills.\n*   **Sessions run in the background:** Daemon-backed agents keep running when the terminal disconnects and can be reattached later.\n*   **Agents communicate directly:** Running agents can exchange messages and orchestrate one another without routing everything through the user.\n*   **Long tasks keep moving:** Automatic compaction, persistent goals, heartbeats, schedules, autonomous mode, and retained subagents preserve progress across turns and terminal sessions.\n\n## Installation\n\nInstall the latest build with the one-command installer (every push to the `rust` branch publishes a fresh rolling beta; the stable channel ships on release):\n\nFor Linux/macOS:\n\nbash\ncurl -fsSL https://app.primeintellect.ai/prime-agent/install.sh | sh\n\n\nOn Windows, install from PowerShell:\n\npowershell\nirm https://app.primeintellect.ai/prime-agent/install.ps1 | iex\n\n\nThe `sh` one-liner also works under Git Bash on Windows. Both installers publish the same layout (the launcher under `$HOME\\.local\\bin`, the payload under `$HOME\\.local\\share\\prime-agent`) and read the same release channel: darwin (arm64/x64), linux (arm64/x64), and windows (x86_64, `win32-x64`).\n\n## Examples\n\nStart Prime Agent from the repository or directory you want it to work in:\n\nbash\ncd /path/to/project\nprime-agent\n\n\nOn first launch, run `/login` to choose a subscription or API-key provider. Prime Agent works in the current directory and can run commands and modify files there. Use a disposable clone, clean worktree, or another checkpoint you can inspect and restore.\n\n> **WARNING**\n> Prime Agent executes model-generated Python and project commands with your user permissions. Its worker and kernel processes improve lifecycle isolation and recovery; they are **not** a security sandbox. Review changes and use trusted repositories, instructions, and skills only. Run untrusted code or instructions in an external sandbox or restricted environment.\n\nUseful commands:\n\nbash\nprime-agent agents                   # Browse running, idle, and saved sessions\nprime-agent attach <agent>           # Reattach to a running session\nprime-agent --resume [path|id]       # Browse sessions or resume one directly\nprime-agent status                   # Inspect background service state\nprime-agent doctor [--fix]           # Inspect or repair background services\nprime-agent update [--force]         # Update Prime Agent\nprime-agent shutdown [--force]       # Stop every agent, worker, and background service\n\n\n## Links\n\n*   GitHub Repository: [PrimeIntellect-ai/prime-agent](https://github.com/PrimeIntellect-ai/prime-agent){target=\"_blank\"}\n*   Prime Intellect Website: [primeintellect.ai](https://primeintellect.ai){target=\"_blank\"}\n*   Verifiers Repository: [PrimeIntellect-ai/verifiers](https://github.com/PrimeIntellect-ai/verifiers){target=\"_blank\"}\n*   PRIME-RL Repository: [PrimeIntellect-ai/prime-rl](https://github.com/PrimeIntellect-ai/prime-rl){target=\"_blank\"}\n*   RLM Blog Post: [The Recursive Language Model](https://www.primeintellect.ai/blog/rlm){target=\"_blank\"}\n*   Prime Agent arXiv Paper: [2608.23552](https://arxiv.org/abs/2608.23552){target=\"_blank\"}\n*   Continual Harness arXiv Paper: [2605.09998](https://arxiv.org/abs/2605.09998){target=\"_blank\"}","metrics":{"detailViews":3,"githubClicks":1},"dates":{"published":null,"modified":"2026-10-02T11:38:21.000Z"}}