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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

The OpenAI Agents SDK allows developers to create agent-based AI applications in a streamlined and user-friendly manner, minimizing unnecessary complexities. This SDK serves as a polished enhancement of our earlier agent experimentation project, Swarm. It features a concise set of core components: agents, which are large language models (LLMs) with specific instructions and tools; handoffs, which facilitate task delegation among agents; and guardrails, which ensure that agent inputs are properly validated. By leveraging Python alongside these components, users can craft intricate interactions between tools and agents, making it feasible to develop practical applications without encountering a steep learning curve. Furthermore, the SDK includes integrated tracing capabilities that enable users to visualize, debug, and assess their agent workflows, as well as refine models tailored to their specific needs. This combination of features makes the Agents SDK an invaluable resource for developers aiming to harness the power of AI effectively.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Python
.NET
Apify
AutoGen
LagRank

Integrations

Python
.NET
Apify
AutoGen
LagRank

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

openai.github.io/openai-agents-python/

Product Features

Product Features

Alternatives

Alternatives

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