PrimeIntellect-ai/prime-agent

Traditional AI agents are stateless and limited to short interactions, losing context and failing to improve over time. Prime Agent solves this by maintaining persistent context and durable harness state, allowing the agent to refine its own skills and memories, and to run long tasks in the background. It also addresses the need for parallel and subagent orchestration, which is not native to most agent frameworks.

Developers can build autonomous coding assistants that work on large codebases, run long-lived background tasks, and orchestrate multiple subagents for parallel work. The agent can create and import executable skills, refine its own behavior via /refine, and communicate with other agents. The ceiling includes fully autonomous research and development workflows, where the agent manages its own context, improves its skills over time, and can be reattached to sessions after disconnects.