Awesome Agent Harness

Open-source agentic workspace enterprises can make their own. Connect the systems you already run — 100+ integrations, MCP, chat tools, apps, browser, local files — with shared memory. Any agent (Claude Code, Codex), any model, or BYOK. Set up in clicks, not months. Local-first: your data never leaves your machines.

Secure, Fast, and Extensible Sandbox runtime for AI agents.

AI Agent Engineering Platform built on an Open Source TypeScript AI Agent Framework

The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.

An Open-Source Asynchronous Coding Agent

Omnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi, and custom agents — swap harnesses without rewriting, enforce policies and sandboxing, and collaborate in real time from any device.

PraisonAI 🦞 — Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous self-improving agents that research, plan, code, and execute tasks. Deployed in 5 lines of code with built-in memory, RAG, and support for 100+ LLMs.

Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.

Build effective agents using Model Context Protocol and simple workflow patterns

The 100 line AI agent that solves GitHub issues or helps you in your command line. Radically simple, no huge configs, no giant monorepo—but scores >74% on SWE-bench verified!

A model-driven approach to building AI agents in just a few lines of code.

Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and CamelAI

Nexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles — unified tools, skills, memory, and orchestration with built-in constraints, feedback loops, and control planes.

Next-generation AI Agent Optimization Platform: Cozeloop addresses challenges in AI agent development by providing full-lifecycle management capabilities from development, debugging, and evaluation to monitoring.

Build and deploy AI Agents on Cloudflare

ByteRover CLI (brv) - The portable memory layer for autonomous coding agents (formerly Cipher)

Next Generation Agentic Proxy for AI Agents and MCP servers

An AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified endpoint with centralized discovery, guardrails and management. Optimizes Agent & Tool calling, and supports plugins.

Agent framework for the JVM. Pronounced Em-BAY-bel /ɛmˈbeɪbəl/

Enterprise AI Platform with guardrails, MCP registry, gateway & orchestrator

Cascading runtime for AI agents. Optimize cost, latency, quality, and policy decisions inside the agent loop.

agent-sandbox enables easy management of isolated, stateful, singleton workloads, ideal for use cases like AI agent runtimes and reinforcement learning (RL).

The platform for LLM evaluations and AI agent testing

Devon: An open-source pair programmer

Laminar - open-source observability platform purpose-built for AI agents. YC S24.

AI Agent Builder and Runtime by Docker Engineering

Security scanner for AI agents, MCP servers and agent skills.

Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.

A production-oriented multi-agent orchestration framework.

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

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

A Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, evaluation, and observability.

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.

LLM powered fuzzing via OSS-Fuzz.

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

The Cloud Sandbox Built for AI Agents

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

Ultimate Context Engineering Infrastructure, starting from MCPs and Integrations

An agent benchmark with tasks in a simulated software company.

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

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