agent-base-v2
A configurable, secure, and multi-model supported AI agent runtime framework.
Install & Use
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Agent Harness is a TypeScript runtime framework for configuring and running AI agents. It is not intelligent itself, but rather serves as reliable "infrastructure" that connects AI models, tools, and security policies. It addresses the common, low-level challenges developers face when building AI applications—such as repeatedly handling model integration, tool execution, security isolation, and session management.
In practice, developers define an agent's specific behavior via an AGENTS.md file, commands, and skills, while Harness provides underlying support for model access, tool execution, security sandboxing, session memory, and observability. It supports seamless runtime switching between multiple LLM providers, both local (e.g., Ollama) and cloud-based (e.g., OpenAI).
This framework is ideal for developers who need to build customizable, secure, and maintainable AI agent applications. Whether you want to quickly set up a constrained conversational assistant or develop a multi-agent system capable of executing complex automated workflows, you can build on this framework.
It is recommended to start with a quick installation and initial configuration, then explore the basic features through interactive chat. For production environments or when handling sensitive operations, it is strongly advised to enable the --sandbox isolation option to enhance security.
Key Features
Its core differentiator lies in its clear "infrastructure" positioning, which cleanly separates an agent's decision logic (Agent) from the underlying execution, security, and resource management support (Harness). It provides out-of-the-box multi-model support, a tool execution layer, and a configurable security sandbox, allowing developers to focus solely on defining the behavioral logic.
Limitations
It is not suitable for end-users seeking a ready-to-use, fully-featured agent application out of the box. It requires developers to configure and program to define specific behaviors.
FAQ
What is the difference between Agent Harness and a typical AI chat application?
Harness is a development framework, not a finished application. It provides the infrastructure needed to build AI agents—such as model access, tool execution, and security sandboxes—while the specific functionality must be defined by the developer through configuration and code.
Which AI models does it support?
It supports multiple categories of providers, including local models (Ollama, Docker), cloud services (OpenAI, Anthropic, Google Gemini), and enterprise platforms (Azure AI Foundry, GitHub Models).
Installation guide for AI assistants
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