Awesome Agent Harness

τ-Bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains

Code repo for "WebArena: A Realistic Web Environment for Building Autonomous Agents"

E2B Desktop Sandbox for LLMs. E2B Sandbox with desktop graphical environment that you can connect to any LLM for secure computer use.

LLM powered fuzzing via OSS-Fuzz.

Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. Tracing · Evals · Simulations · Datasets · Gateway · Guardrails. Self-hostable. Apache 2.0.

Reference code for the Meta-Harness paper.

The Cloud Sandbox Built for AI Agents

OpenTelemetry Instrumentation for AI Observability

Evaluate and improve models and agents using environments

The Continuous-Improvement Stack for Agents. Our environment data and evals power agent improvement and monitoring.

Minimal and readable coding agent harness implementation in Python to explain the core components of coding agents.

Tensorlake is a serverless runtime for sandboxes and deploying background agentic applications

CUGA is an open-source generalist agent harness for the enterprise, supporting complex task execution on web and APIs, OpenAPI/MCP integrations, composable architecture, reasoning modes, and policy-aware features.

No description.

A production-ready runtime framework for agent apps with secure tool sandboxing, Agent-as-a-Service APIs, scalable deployment, full-stack observability, and broad framework compatibility.

Security Governance for Agentic AI

CheetahClaws: A Fast and Easy-to-Use Agent Harness Infrastructure for Long-Horizon, Multi-Model, and Tool-Using AI Systems

Official AHE code — Agentic Harness Engineering: observability-driven automatic evolution of coding-agent harnesses (concurrent w/ meta-harness). NexAU-AHE reaches 84.7% ± 2.1 pass@1 on Terminal-Bench 2 (GPT-5.5). Lifts GPT-5.4 69.7→77.0% over 10 iters, beats Codex/ACE/Training-Free GRPO; frozen harness transfers to SWE-bench-Verified.

An agent benchmark with tasks in a simulated software company.

Claw-Eval is an evaluation harness for evaluating LLM as agents. All tasks verified by humans.

Batteries for your Pydantic AI agent.

Collection of evals for Inspect AI

Sandboxed code execution for AI agents, locally or on the cloud. Massively parallel, easy to extend. Powering SWE-agent and more.

Bring your own agent and build a self-improving agentic system. Automatically mine failures, optimize the agent harness, and gate against regressions.

SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?

An in-the-wild benchmark for AI agents in the OpenClaw Environment.

Open-source benchmark for browser AI agents on daily tasks.

Deterministic safety solutions for probabilistic AI agents

A generative AI-powered framework for testing virtual agents.

The production-ready agent harness framework for Python

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

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

Evaluation harness for OpenHands V1.

No description.

A verified version of the WebArena Benchmark

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