Awesome Agent Harness

Framework for evaluating and improving agents

Agent Skills as a Memory Layer

A lightweight, powerful framework for multi-agent workflows and voice agents

Evaluation and Tracking for LLM Experiments and AI Agents

Devon: An open-source pair programmer

The platform for LLM evaluations and AI agent testing

OpenSource Claude Cowork. A desktop AI assistant that helps you with programming, file management, and any task you can describe.

Agent Orchestration Command Center

Amazon Bedrock Agentcore accelerates AI agents into production with the scale, reliability, and security, critical to real-world deployment.

A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.

Headless CLI client for stateful Agent Client Protocol (ACP) sessions

Skills, MCP servers, Custom Agents, Agents.md for SDKs to ground Coding Agents

Terminal coding agent powered by Kimchi's multi-model orchestration

A HTTP credential proxy and vault for AI agents like Claude Code, OpenClaw, Hermes, custom agents + harnesses, and more.

How real engineers run Claude Code and Codex: spec-driven planning, enforced TDD, persistent memory, and quality enforcement on all levels. Make your agents production-ready.

Open-source AI agent desktop app for Windows & macOS. One-click install Claude Code, MCP tools, and Skills — with sandbox isolation, multi-model support, and Feishu/Slack integration.

A Kubernetes-native control plane for AI agent instance management, with governed AI access, runtime orchestration, and reusable resources across multiple agent runtimes.

Official Microsoft Learn MCP Server and CLI tool – powering LLMs and AI agents with real-time, trusted Microsoft docs & code samples.

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

No description.

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.

Run Coding Agents in Sandboxes. Control Them Over HTTP. Supports Claude Code, Codex, OpenCode, and Amp.

The batteries included agent harness.

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

Open-source AI agent harness in native Rust — GUI, CLI, headless, and webapp from one binary. Multi-provider, MCP, skills, plugins, agent teams.

The Cloud Sandbox Built for AI Agents

A desktop multi-agent harness built with Rust, Tauri, and React, powered by langgraph-rust.

ClawKeeper: Comprehensive Safety Protection for OpenClaw Agents Through Skills, Plugins, and Watchers (aka The Norton for OpenClaw)

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

local multi-agent harness

Agent harness and tookit for building AI agents and agentic applications. CLI and SDKs included

Open-source cross-agent memory layer for coding agents via MCP. Compatible with Claude Code, Codex, Cursor, Windsurf, Gemini CLI, Antigravity, OpenClaw, Hermes Agent, Oh-my-Pi, Pi, Copilot, Kiro, OpenCode, and Trae.

🤖 MateClaw — Your second brain with Multi-Agent Orchestration, MCP Protocol, Skills & Memory, Dream, and Multi-Channel Support. Built on Spring AI Alibaba.

The action firewall for AI agents. Enforce policy and human approval before risky tool calls, shell commands, workflows, and production changes, with auditable evidence.

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

Tandem is the authority layer between AI agents and company tools: runtime policy for tools, memory, approvals, and audit trails.