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Description
The Microsoft Agent Framework is an open-source software development kit and runtime that assists developers in creating, orchestrating, and deploying AI agents alongside multi-agent workflows, utilizing programming languages like .NET and Python. By merging the straightforward agent abstractions found in AutoGen with the sophisticated capabilities of Semantic Kernel, it offers features such as session-based state management, type safety, middleware, telemetry, and extensive model and embedding support, thus providing a cohesive platform suitable for both experimentation and production settings. Additionally, it features graph-based workflows that empower developers with precise control over the interactions among multiple agents, enabling them to execute tasks and coordinate intricate processes efficiently, which facilitates structured orchestration in various scenarios, including sequential, concurrent, or branching workflows. Furthermore, the framework accommodates long-running operations and human-in-the-loop workflows by implementing robust state management, enabling agents to retain context, tackle complex multi-step problems, and function continuously over extended periods. This combination of features not only streamlines development but also enhances the overall performance and reliability of AI-driven applications.
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.
API Access
Has API
API Access
Has API
Pricing Details
Free
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
learn.microsoft.com/en-us/agent-framework/overview/
Vendor Details
Company Name
OpenAI
Founded
2015
Country
United States
Website
github.com/openai/swarm