Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Swarm is an innovative educational framework created by OpenAI that aims to investigate the orchestration of lightweight, ergonomic multi-agent systems. Its design prioritizes scalability and customization, making it ideal for environments where numerous independent tasks and instructions are difficult to encapsulate within a single prompt. Operating solely on the client side, Swarm, like the Chat Completions API it leverages, maintains a stateless design, which enables the development of scalable and practical solutions without a significant learning curve. Unlike the assistants found in the assistants API, Swarm agents, despite their similar naming for ease of use, function independently and have no connection to those assistants. The framework provides various examples that cover essential concepts such as setup, function execution, handoffs, and context variables, as well as more intricate applications, including a multi-agent configuration specifically designed to manage diverse customer service inquiries within the airline industry. This versatility allows users to harness the potential of multi-agent interactions in various contexts effectively.

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.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

No images available

Integrations

OpenAI Yes 
Anthropic No 
Model Context Protocol (MCP) No 
Pillar Security Yes 
Python Yes 
Vercel AI SDK No 

Integrations

OpenAI Yes 
Anthropic Yes 
Model Context Protocol (MCP) Yes 
Pillar Security No 
Python No 
Vercel AI SDK Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version 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 

Deployment

Web-Based No 
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 Yes 

Customer Support

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

OpenAI

Founded

2015

Country

United States

Website

github.com/openai/swarm

Vendor Details

Company Name

OpenHarness

Website

open-harness.dev/

Product Features

Alternatives

Alternatives

No Alternatives
LangGraph Reviews

LangGraph

LangChain