Awesome Harness Engineering

An agentic skills framework & software development methodology that works.

Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.

💫 Toolkit to help you get started with SDD or any other process!

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.

Daytona is a Secure and Elastic Infrastructure for Running AI-Generated Code

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.

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

an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM

Build resilient agents.

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

Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory with small models for free

Composio powers 1000+ toolkits, tool search, context management, authentication, and a sandboxed workbench to help you build AI agents that turn intent into action.

A lightweight, powerful framework for multi-agent workflows

The batteries-included agent harness.

Mastra is the modern TypeScript framework for AI-powered applications and agents.

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

Platform for stateful agents: AI with advanced memory that can learn and self-improve over time.

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

SWE-agent takes a GitHub issue and tries to automatically fix it, using your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2024]

Open Source framework for voice agents, multimodal apps, and realtime AI. Maintained by Daily and the community.

Multiplayer agent harness for work.

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

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

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 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

Build distributed, production-grade, long-running agents.

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.

Zep | Examples, Integrations, & More

Next Generation Agentic Proxy for AI Agents and MCP servers

AI observability platform for production LLM and agent systems.

The missing DevTools for Claude Code — inspect session logs, tool calls, token usage, subagents, and context window in a visual UI. Free, open source.

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

Squad: AI agent teams for any project

a recursive self-improving harness designed to help your agents (and future iterations of those agents) succeed on any task

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

Stash — persistent memory layer for AI agents. Episodes, facts, and working context stored in Postgres. MCP server included. Self-hosted, single binary, no cloud required.

Every practical and proposed defense against prompt injection.