Harness² — Recursive Agent Harnessing for an Open World

What is a Harness? | EARENDIL

An agent harness is a piece of software that provides an environment for an AI model to operate within.

What is an Agent Harness? | Rubric Labs

A harness is the software that translates a model into a system that can affect its environment. Agent = Model + Harness.

The Anatomy of an Agent Harness

Learn how agent harnesses transform AI models into autonomous work engines. Explore core components: filesystems, sandboxes, and memory.

Welcome to Learn Harness Engineering | Learn Harness Engineering

A project-based course on designing the environments, state, verification, and control systems that make Codex and Claude Code reliable.

Harness Lens - a Hugging Face Space by harness-hub

Compare coding-agent harnesses, every claim linked to source

DeepSeek on Twitter / X

🧩 DeepSeek Harness v0.1 is now available in Developer Preview!🔹 We’re opening it up to developers building agent harnesses worldwide and open-sourcing the codebase in MIT license.🔹 Powered by the Cordis meta-framework, DeepSeek Harness is an agent harness built around one…— DeepSeek (@deepseek_ai) August 13, 2026

pi/packages/agent/docs/harness-v2.md at harness-v2/j4 · earendil-works/pi

AI agent toolkit: unified LLM API, agent loop, TUI, coding agent CLI - earendil-works/pi

Harness Engineering for Self-Improvement

The concept of recursive self-improvement (RSI) dates back to I. J. Good (1965), where he defined an “ultraintelligent machine” as a system that can surpass humans in all intellectual activities and design better machines to improve itself. Yudkowsky (2008) used the phrase “recursive self-improvement” for a specific feedback loop: an AI uses its current intelligence to improve the cognitive machinery that produces its intelligence. This feedback loop in modern AI may indicate the model rewriting its own weights directly, or more broadly the model improves the training pipeline and the deployment system, which in turn enables a better successor model with improved performance across economically valuable tasks. The speed of research development in AI has been shown to drastically accelerated in frontier labs (Anthropic; OpenAI).

Building an Advanced Agentic Harness | Data For Science

From a single pilot to an air campaign: planning, parallelism, memory, verification, and observability for production-shaped agents.

The Coming Loop

Loops, harnesses, and why even loop skeptics may end up with them.

Paper page - Harness-1: Reinforcement Learning for Search Agents with State-Externalizing Harnesses

Join the discussion on this paper page

Skills, forks, and self-surgery: how agent harnesses grow

Claude Code, NanoClaw, and Pi take radically different approaches to harness extensibility. The tradeoff is always safety vs. agent agency.

DeepSeek Harness developer preview: Everything is a plugin

DeepSeek Harness is now available in developer preview to developers building agent harnesses worldwide, with the source code released at the same time. Every agent capability is implemented as a plugin that can be swapped or recomposed.

All the Agents — 549 Coding Agent Harnesses

The maintained catalog of every coding agent harness, the multiplexers that manage them, and the SDKs used to build them.

Codex harness · OpenClaw

Run OpenClaw embedded agent turns through the bundled Codex app-server harness