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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
Perfox.ai is a sophisticated AI platform designed to create, manage, and deploy a coalition of high-efficiency AI agents, all while incorporating human oversight. These agents are capable of learning from various sources such as documents, ticketing systems, knowledge bases, and historical conversations, ensuring they are constantly updated. They operate around the clock to monitor communication channels and handle requests from start to finish, which includes conducting research, drafting responses, verifying information, and delivering outcomes across multiple platforms such as web, email, in-app messaging, SMS, voice calls, WhatsApp, and RCS. An intelligent orchestrator efficiently directs tasks among specialized agents, allowing them to collaborate, validate each other's work, and escalate issues to human operators only when necessary, adhering to company policies. Each response provided by the agents is well-supported and referenced, ensuring accountability, while every operation is traceable, and agents function within predetermined boundaries. This makes Perfox a reliable choice for use in regulated environments that require customer-facing interactions, with an emphasis on compliance and quality assurance. Ultimately, the combination of AI efficiency and human oversight in Perfox.ai promotes a seamless integration into organizational workflows.
API Access
Has API
API Access
Has API
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Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
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
Perfox
Founded
2025
Country
India
Website
perfox.ai/