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Awesome List
An awesome list of Agent Harness engineering resources, including GitHub projects, tools, benchmarks, and practical guides.
GitHub stars and default-branch commits for Picrew/awesome-agent-harness.
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Code repo for "WebArena: A Realistic Web Environment for Building Autonomous Agents"
Run Coding Agents in Sandboxes. Control Them Over HTTP. Supports Claude Code, Codex, OpenCode, and Amp.
LLM powered fuzzing via OSS-Fuzz.
1 place to call all your agents - OpenCode, Hermes, Claude Managed Agents, Cursor Agents API, DeepAgents.
OpenTelemetry Instrumentation for AI Observability
Evaluate and improve models and agents using environments
The Cloud Sandbox Built for AI Agents
Security Governance for Agentic AI
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.
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.
CheetahClaws: A Fast and Easy-to-Use Agent Harness Infrastructure for Long-Horizon, Multi-Model, and Tool-Using AI Systems
Collection of evals for Inspect AI
Measuring and evolving with the frontier of agent work
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 production harness.
The action firewall for AI agents. Enforce policy and human approval before risky tool calls, shell commands, workflows, and production changes, with auditable evidence.
Self-hosted Personal AI + agent runtime in .NET (NativeAOT-friendly)
A generative AI-powered framework for testing virtual agents.
Remote approvals, policy checks, and execution evidence for unattended AI agents.
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.
Evaluation harness for OpenHands V1.
Tandem is the authority layer between AI agents and company tools: runtime policy for tools, memory, approvals, and audit trails.
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