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The self-improving AI agent built by Nous Research.

Recursive Self-Improvement (RSI) refers to processes in which AI systems improve their own capabilities and can also improve the mechanisms that generate subsequent improvements.

The Harness of Harnesses • built for RSI: a trusted, persistent, self-evolving multi-agent ecosystem for all-domain collaboration.

An LLM agent's capability is largely set by its harness: the prompts, control flow, tools, memory and context management around a frozen model.

The agent harness for production workloads — state management, failure recovery, observability, and human oversight so your agents actually run.

Imp is a full port of DSPy to the BEAM. You describe what each language-model step takes and returns, choose how it thinks, and let an optimizer improve it against examples of what good looks like.

This framework enables Claude to generate and manage its own tools, continuously expanding its capabilities through conversation. Available both as a CLI and a modern web interface

> This repository accompanies The Last AI Built by Humans: Toward Genuine Recursive Self-Improvement (Yi Duan et al., 2026; arXiv:2609.11873).

the first open-source platform for simulation testing, monitoring and self-improving voice agents