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Open-source benchmark for browser AI agents on 153 everyday online tasks across 144 live websites. 5-layer recording + DOM-match + LLM judge. Top score 33.3%.

Secure runtime to sandbox AI agent tasks. Run untrusted code in isolated WebAssembly environments.

The production-ready agent harness framework for Python

🛡️The governance runtime for AI agents. Intercept actions, enforce guard policies, require approvals, and produce audit-ready decision trails.

WorkArena: How Capable are Web Agents at Solving Common Knowledge Work Tasks?

Open Python agent harness for production AI apps: tools, MCP, memory, workspace, telemetry, subagents, background tasks, and OmniServe APIs.

Secure local dev environment for collaboration with AI coding agents

The harness layer for Claude Code — a reference implementation of harness engineering with hook-enforced dual review, state-machine gates that survive context compaction, and fail-closed safety where it counts. Quality gates that AI can't skip.

Runtime for long-horizon agents

HexAgent – An Agent harness that gives any LLM a computer to complete tasks the way humans do

Universally Triggered Agent Harness - An OpenClaw-like Inngest-powered personal agent

Tandem is the authority layer for AI-first work: runtime authority for agents, tools, memory, approvals, and audit trails.

Evaluation harness for OpenHands V1.

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This repository defines AGENT.md, a standardized format that lets your codebase speak directly to any agentic coding tool.

A verified version of the WebArena Benchmark

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