Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Gemini Enterprise Agent Platform Reviews & Ratings
    1,161 Ratings
    Company Website
  • kama.ai Reviews & Ratings
    9 Ratings
    Company Website
  • SearchUnify Reviews & Ratings
    150 Ratings
    Company Website
  • Iru Reviews & Ratings
    1,389 Ratings
    Company Website
  • Dialpad Support Reviews & Ratings
    1,607 Ratings
    Company Website
  • Kitecyber Reviews & Ratings
    87 Ratings
    Company Website
  • Creatio Reviews & Ratings
    589 Ratings
    Company Website
  • Jscrambler Reviews & Ratings
    41 Ratings
    Company Website
  • Zendesk Reviews & Ratings
    8,478 Ratings
    Company Website
  • BAND Reviews & Ratings
    3 Ratings
    Company Website

What is OpenHarness?

OpenHarness is an open-source SDK built with TypeScript, aimed at developers who wish to craft customized AI-agent applications, including coding assistants, command-line utilities, and web-based supports. This toolkit is equipped with stateless agent execution, explicit management of conversation states, and streaming event support, as well as middleware options for retries, data persistence, and context oversight. Furthermore, it enables the creation of hierarchical subagents and tools governed by permission settings. Developers can seamlessly connect to model providers using the Vercel AI SDK, expand features through the Model Context Protocol (MCP), and employ filesystem or shell tools via adaptable providers. The SDK also provides React hooks and Vue composables, making it easier to integrate streaming agent outputs into diverse application interfaces. OpenHarness is distributed as an npm package and is tailored for projects that operate within Node.js or edge environments, functioning primarily as a developer-oriented library instead of a service intended for end-users. In addition, its design promotes both flexibility and scalability for AI application development, empowering users to customize their solutions to meet specific demands effectively. This adaptability ensures that developers can explore innovative AI applications without being constrained by rigid structures.

What is Microsoft Agent Framework?

The Microsoft Agent Framework serves as an open-source SDK and runtime designed to aid developers in the creation, orchestration, and deployment of AI agents and multi-agent workflows, utilizing programming languages such as .NET and Python. It effectively integrates the user-friendly agent abstractions from AutoGen with the advanced functionalities of Semantic Kernel, providing features like session-based state management, type safety, middleware, telemetry, and comprehensive support for models and embeddings, thereby establishing a unified platform that is ideal for both experimental and production environments. Moreover, its graph-based workflow capabilities grant developers precise oversight over the interactions between multiple agents, allowing for the efficient execution of tasks and coordination of complex processes, which supports organized orchestration across diverse scenarios, whether they are sequential, concurrent, or involve branching workflows. In addition to these advantages, the framework is designed to handle long-running operations and human-in-the-loop workflows through its strong state management capabilities, which allow agents to maintain context, address intricate multi-step challenges, and operate continuously over extended durations. This blend of features not only simplifies the development process but also significantly boosts the performance and dependability of AI-driven applications, making it a valuable tool for developers seeking to innovate in the field of artificial intelligence. Ultimately, the framework's versatility ensures that it can adapt to various use cases, further enhancing its appeal in the ever-evolving landscape of AI technology.

Media

No images available

Media

Integrations Supported

Anthropic
Model Context Protocol (MCP)
OpenAI
Vercel AI SDK

Integrations Supported

.NET
AutoGen
Openlayer
Python

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Free
Free Version

Supported Platforms

Not specified

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

OpenHarness

Company Website

open-harness.dev/

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

learn.microsoft.com/en-us/agent-framework/overview/

Categories and Features

AI Agent Frameworks

Not specified

Categories and Features

Agentic AI

Not specified

AI Agent Builders

Not specified

AI Agent Frameworks

Not specified

Popular Alternatives

Deep Agents Reviews & Ratings

Deep Agents

LangChain

Popular Alternatives

Claude Code Reviews & Ratings

Claude Code

Anthropic
Mastra Reviews & Ratings

Mastra

Mastra AI
eve Reviews & Ratings

eve

Vercel
AutoGen Reviews & Ratings

AutoGen

Microsoft