Awesome Harness Engineering

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.

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.

Orca is the ADE for working with a fleet of parallel agents. Run any coding agent with your own subscription. Available on desktop, mobile and remote runtime.

Never stop coding. Free MIT AI gateway: one endpoint, 359 providers (150+ free), 1200+ models Kimi, Claude, GPT, Gemini, GLM, DeepSeek, MiniMax. Works with Claude Code, Codex, Cursor, OpenCode, Cline & Copilot. Quota-aware auto-fallback, RTK+Caveman compression saves 15-95% tokens, MCP/A2A, Desktop/PWA. Built by hundreds of contributors

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

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

The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, and logging [Bedrock, Azure, OpenAI, Anthropic, OpenAI, VertexAI, vLLM, Nvidia NIM]

A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.

Hindsight: Agent Memory That Learns

Open-source, community-driven agent harness

🪢 Open source agent evals & observability: Trace, evaluate, and improve LLM applications with one open platform.

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.

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

The AI Toolkit for TypeScript. From the creators of Next.js, the AI SDK is a free open-source library for building AI-powered applications and agents

Scale computer-use 2.0 with open-source drivers, cross-OS fleets, and benchmarks for training, evaluation, and data generation.

The LLM Evaluation Framework

A collection of projects designed to help developers quickly get started with building deployable applications using the Claude API

AG-UI: the Agent-User Interaction Protocol. Bring Agents into Frontend Applications.

Deepsec is a security harness for finding vulnerabilities in your codebase powered by coding agents

Orchestrate sandboxed coding agents in TypeScript with sandcastle.run()

Self-hosted TypeScript agent runtime with durable approvals and verifiable run records. Own it, approve it, audit it.

Self-hosted control plane for AI agents: dispatch tasks, review runs, track spend, and operate OpenClaw, Claude Code, Codex, and other runtimes.

🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓

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

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

React components for visualizing traces from AI agents

Open HTTP protocol for human decisions in AI agent workflows. Service-hosted reviews, structured approvals, selections and forms, with optional messenger actions.