Awesome Agent Harness

🌐 Make websites accessible for AI agents. Automate tasks online with ease.

An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.

Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1

Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.

The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.

The best-benchmarked open-source AI memory system. And it's free.

Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat apps

Build, run, and manage agent platforms.

Build resilient agents.

Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo workflows.

A lightweight, powerful framework for multi-agent workflows

The batteries-included agent harness.

🚀 The fast, Pythonic way to build MCP servers and clients.

The official Python SDK for Model Context Protocol servers and clients

AI Agent Framework, the Pydantic way

Build reliable customer-facing AI agents with Parlant: an interaction control harness optimized for controlled, consistent, and predictable LLM interactions.

The LLM Evaluation Framework

Open-source, secure environment with real-world tools for enterprise-grade agents.

A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.

TensorZero is an open-source LLMOps platform that unifies an LLM gateway, observability, evaluation, optimization, and experimentation.

Multi-Agent Harness for Production AI

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.

Build effective agents using Model Context Protocol and simple workflow patterns

Flexible and powerful framework for managing multiple AI agents and handling complex conversations

Open-source observability for your GenAI or LLM application, based on OpenTelemetry

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

🧱 easy fast local-first microVM runtime and library

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

AI Agent Governance Toolkit — Policy enforcement, zero-trust identity, execution sandboxing, and reliability engineering for autonomous AI agents. Covers 10/10 OWASP Agentic Top 10.

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.

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

LangChain 🔌 MCP

Open source platform for AI Engineering: OpenTelemetry-native LLM Observability, GPU Monitoring, Guardrails, Evaluations, Prompt Management, Vault, Playground. 🚀💻 Integrates with 50+ LLM Providers, VectorDBs, Agent Frameworks and GPUs.

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

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

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

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