Awesome Agent Harness

Langflow is a powerful tool for building and deploying AI-powered agents and workflows.

🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated

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

A programming framework for agentic AI

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

Hindsight: Agent Memory That Learns

Build resilient agents.

Build, run, and manage agent platforms.

Multi-harness agentic plugin marketplace for Claude Code, Codex, Cursor, OpenCode, GitHub Copilot, and Google Antigravity

A lightweight, powerful framework for multi-agent workflows

The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.

#1 Persistent memory for AI coding agents based on real-world benchmarks

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

Beads - A memory upgrade for your coding agent

An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

Orchestrate multiple coding agents from desktop and mobile

MCP Toolbox for Databases is an open source MCP server for databases.

Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced analytics with timeline and execution graph view

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

Instant, Concurrent, Secure & Lightweight Sandbox for AI Agents.

AI Observability & Evaluation

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

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

🧱 Easy fast local-first microVM runtime and library

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

A local multi-agent harness that works with your existing Claude Code, Codex subscriptions, allows you to run an office of agents

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

The CLI and skills that turn any coding assistant into an expert at creating, evaluating, and deploying AI agents on Google Cloud.

Build and deploy AI Agents on Cloudflare

Next Generation Agentic Proxy for AI Agents and MCP servers

Your agent in your terminal, equipped with local tools: writes code, uses the terminal, browses the web. Make your own persistent autonomous agent on top!

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/

Open-source security automation platform for teams and AI agents

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

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

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

AI Agent Builder and Runtime by Docker Engineering

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

A framework-agnostic, git-native standard for defining AI agents

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

Evaluate and improve models and agents using environments

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

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

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

Ultimate Context Engineering Infrastructure, starting from MCPs and Integrations