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Awesome List
Awesome list for AI agent harness engineering: tools, patterns, evals, memory, MCP, permissions, observability, and orchestration.
GitHub stars and default-branch commits for ai-boost/awesome-harness-engineering.
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"DeepCode: Open Agentic Coding (Agent Harness & Loop Engineering & Multi-Agent Orchestration)"
"OpenHarness: Open Agent Harness with a Built-in Personal Agent--Ohmo!"
Open Source framework for voice agents, multimodal apps, and realtime AI. Maintained by Daily and the community.
Multiplayer agent harness for work.
Fully autonomous & self-evolving research from idea to paper. Chat an Idea. Get a Paper. 🦞
The best agent harness.
Open-source, secure environment with real-world tools for enterprise-grade agents.
IronClaw is an Agent OS focused on privacy, security and extensibility
Instant, Concurrent, Secure & Lightweight Sandbox for AI Agents.
Build your own AI SRE agents. The open source toolkit for the AI era.
AI Observability & Evaluation
Practical patterns, starters & CLI tools for loop engineering with AI coding agents. Design systems that prompt and orchestrate agents (inspired by Addy Osmani and Boris Cherny). Includes loop-audit, loop-init, loop-cost.
Free, local tool to track AI coding token usage and cost across 37 tools and agents (Claude Code, Cursor, Codex, Gemini and more), by model, project, and task. npx codeburn
Multi-Agent Harness for Production AI
Visual testing tool for MCP servers
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
OpenShell is the safe, private runtime for autonomous AI agents.
The sandbox agent framework.
Deepsec is a security harness for finding vulnerabilities in your codebase powered by coding agents
Orchestrate sandboxed coding agents in TypeScript with sandcastle.run()
Kimi Code CLI — The Starting Point for Next-Gen Agents
Open-source observability for your GenAI or LLM application, based on OpenTelemetry
Persistent memory system for AI coding agents. Agent-agnostic Go binary with SQLite + FTS5, MCP server, HTTP API, CLI, and TUI.
NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
Self-hosted TypeScript agent runtime with durable approvals and verifiable run records. Own it, approve it, audit it.
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.
🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓
The first "code-first" agent framework for seamlessly planning and executing data analytics tasks.
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
All-in-One Sandbox for AI Agents that combines Browser, Shell, File, MCP and VSCode Server in a single Docker container.
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.
Open-source auth gateway connecting 1400+ SaaS providers to AI agents through SDK, CLI, MCP, HTTP, and OpenAPI.
The open-source agent harness - the runtime layer that turns an LLM into a working agent.
Zep | Examples, Integrations, & More
AI observability platform for production LLM and agent systems.
《御舆:解码 Agent Harness》42万字拆解 AI Agent 的Harness骨架与神经 —— Claude Code 架构深度剖析,15 章从对话循环到构建你自己的 Agent Harness。在线阅读网站:
agent-sandbox enables easy management of isolated, stateful, singleton workloads, ideal for use cases like AI agent runtimes and reinforcement learning (RL).
The World's First Virtual Terminal for AI Agents
Amazon Bedrock Agentcore accelerates AI agents into production with the scale, reliability, and security, critical to real-world deployment.
Squad: AI agent teams for any project
Skills, MCP servers, Custom Agents, Agents.md for SDKs to ground Coding Agents
Inspect: A framework for large language model evaluations
Official, AWS-supported MCP servers, skills, and plugins to help AI agents build on AWS
Sub-millisecond VM sandboxes for AI agents via copy-on-write forking
A HTTP credential proxy and vault for AI agents like Claude Code, OpenClaw, Hermes, custom agents + harnesses, and more.
One brain, many harnesses. Portable .agent/ folder (memory + skills + protocols) that plugs into Claude Code, Cursor, Windsurf, OpenCode, OpenClaw, Hermes, or DIY Python — and keeps its knowledge when you switch.
Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. Tracing · Evals · Simulations · Datasets · Gateway · Guardrails. Self-hostable. Apache 2.0.