OpenHarness
OpenHarness is an open-source AI agent framework that provides the core infrastructure to build, run, and orchestrate powerful multi-agent systems.
Overview
OpenHarness focuses on the concept of an “agent harness”—the system that gives AI models the ability to act, remember, and execute tasks. Instead of relying on closed platforms, it allows developers to understand and customize how agents work under the hood, making it ideal for building advanced AI workflows and experimentation.
Core Features & Capabilities
Ideal for developers, AI engineers, researchers, and builders who want to create custom AI agents, automate workflows, and experiment with multi-agent architectures.
- build ai agents with tools, memory, and execution loops
- coordinate multiple agents working together on complex tasks
- use persistent memory and context management for long-running workflows
- extend functionality with plugins, skills, and custom tools
- control agent behavior with permissions, rules, and governance layers
Trending Use Cases
Why Developers Choose OpenHarness
Install via pip or script, configure your AI model provider, launch the CLI or agent runtime, and start building workflows using tools, skills, and agent configurations. You can extend the system with custom plugins and integrate it into your own applications.
“The model provides intelligence—the harness provides action, memory, and control.”
Getting Started with OpenHarness
By separating intelligence from execution infrastructure, OpenHarness enables developers to build more powerful, flexible, and scalable AI systems that go far beyond simple chat-based interactions.
Open the tool and review its core product experience.
Create your account or access your existing workspace.
Use your own task to judge speed, quality, and fit.
Check similar AI tools before making a final decision.
OpenHarness
OpenHarness is an open-source AI agent framework that provides the infrastructure to build, orchestrate, and scale intelligent agent systems.
OpenHarness is an open-source agent harness framework designed to help developers build production-style AI agents with full control and transparency. Instead of acting as a standalone assistant, it provides the underlying infrastructure that turns large language models into fully functional agents. This includes tool execution, memory management, permissions, multi-agent coordination, and workflow orchestration. The framework is lightweight and modular, allowing developers to compose their own agent systems using reusable building blocks such as tools, skills, hooks, and subagents. It is designed for experimentation, research, and building real-world agent applications without being locked into a specific AI provider.
github.com/HKUDS/OpenHarness
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