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Description

OpenHarness is an open-source SDK developed in TypeScript, designed for developers aiming to create tailored AI-agent applications such as coding assistants, command-line tools, and web-based helpers. This toolkit features stateless agent execution, the ability to manage conversation states explicitly, and support for streaming events, alongside middleware that can be composed for retries, data persistence, and context management. Additionally, it supports hierarchical subagents and tools that operate under permission controls. Developers can easily link model providers via the Vercel AI SDK, enhance functionalities with the Model Context Protocol (MCP), and utilize filesystem or shell tools through customizable providers. The SDK includes React hooks and Vue composables to facilitate the integration of streaming agent outputs into various application interfaces. OpenHarness is available as an npm package and is designed for integration into projects that run on Node.js or edge environments, functioning as a developer-focused library rather than a service for end-users. Moreover, its architecture encourages flexibility and scalability in AI application development, allowing users to tailor their implementations to specific needs.

Description

Semantic Kernel is an open-source development toolkit that facilitates the creation of AI agents and the integration of cutting-edge AI models into applications written in C#, Python, or Java. This efficient middleware accelerates the deployment of robust enterprise solutions. Companies like Microsoft and other Fortune 500 firms are taking advantage of Semantic Kernel's flexibility, modularity, and observability. With built-in security features such as telemetry support, hooks, and filters, developers can confidently provide responsible AI solutions at scale. The support for versions 1.0 and above across C#, Python, and Java ensures reliability and a commitment to maintaining non-breaking changes. Existing chat-based APIs can be effortlessly enhanced to include additional modalities such as voice and video, making the toolkit highly adaptable. Semantic Kernel is crafted to be future-proof, ensuring seamless integration with the latest AI models as technology evolves, thus maintaining its relevance in the rapidly changing landscape of artificial intelligence. This forward-thinking design empowers developers to innovate without fear of obsolescence.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

No images available

Screenshots View All

Integrations

Anthropic Yes 
Azure App Service No 
C# No 
DeepSeek R1 No 
Dock No 
Java No 
Microsoft 365 Copilot No 
Model Context Protocol (MCP) Yes 
OpenAI Yes 
Openlayer No 
Prefactor No 
Python No 
Vercel AI SDK Yes 
Weaviate No 

Integrations

Anthropic No 
Azure App Service Yes 
C# Yes 
DeepSeek R1 Yes 
Dock Yes 
Java Yes 
Microsoft 365 Copilot Yes 
Model Context Protocol (MCP) No 
OpenAI No 
Openlayer Yes 
Prefactor Yes 
Python Yes 
Vercel AI SDK No 
Weaviate Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

OpenHarness

Website

open-harness.dev/

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

learn.microsoft.com/en-us/semantic-kernel/overview/

Product Features

Alternatives

No Alternatives

Alternatives

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