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What is Twigg?

Twigg is a cutting-edge tool designed to manage context, transforming conventional linear chat threads into a dynamic, visually branching tree of conversation nodes that enables users to control the context presented to the model. This unique approach allows users to navigate various conversation routes by creating new branches from any node, while also optimizing their prompts through actions like cutting, copying, deleting, or relocating content, ultimately improving performance and reducing complexity. The platform boasts an intuitive dashboard that tracks token usage for each model, offering valuable insights into credit consumption. By granting control at the node level, Twigg reduces unnecessary token expenditure and supports simultaneous idea development without complicating the main workflow. It seamlessly integrates with leading models via a Bring Your Own Key (BYOK) system and is specifically designed for projects that demand prolonged engagement, thus earning the title of the “Git for LLMs” by providing version control, branching, and detailed context management for conversational AI tasks. Consequently, Twigg not only boosts the efficiency of user interactions but also equips users to enhance their conversational strategies more effectively. Additionally, its innovative features position Twigg as a transformative solution in the realm of conversational AI, fostering deeper and more meaningful exchanges.

What is Microsoft Agent Framework?

The Microsoft Agent Framework serves as an open-source SDK and runtime designed to aid developers in the creation, orchestration, and deployment of AI agents and multi-agent workflows, utilizing programming languages such as .NET and Python. It effectively integrates the user-friendly agent abstractions from AutoGen with the advanced functionalities of Semantic Kernel, providing features like session-based state management, type safety, middleware, telemetry, and comprehensive support for models and embeddings, thereby establishing a unified platform that is ideal for both experimental and production environments. Moreover, its graph-based workflow capabilities grant developers precise oversight over the interactions between multiple agents, allowing for the efficient execution of tasks and coordination of complex processes, which supports organized orchestration across diverse scenarios, whether they are sequential, concurrent, or involve branching workflows. In addition to these advantages, the framework is designed to handle long-running operations and human-in-the-loop workflows through its strong state management capabilities, which allow agents to maintain context, address intricate multi-step challenges, and operate continuously over extended durations. This blend of features not only simplifies the development process but also significantly boosts the performance and dependability of AI-driven applications, making it a valuable tool for developers seeking to innovate in the field of artificial intelligence. Ultimately, the framework's versatility ensures that it can adapt to various use cases, further enhancing its appeal in the ever-evolving landscape of AI technology.

Media

Media

Integrations Supported

.NET
AutoGen
ChatGPT
Claude Opus 4.1
Claude Opus 4.5
Claude Opus 4.6
Claude Opus 4.7
GPT-5 mini
Gemini 2.0 Flash
Python

Integrations Supported

.NET
AutoGen
ChatGPT
Claude Opus 4.1
Claude Opus 4.5
Claude Opus 4.6
Claude Opus 4.7
GPT-5 mini
Gemini 2.0 Flash
Python

API Availability

Has API

API Availability

Has API

Pricing Information

$6.66 per month
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Twigg

Date Founded

2025

Company Location

United States

Company Website

twigg.ai/

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

learn.microsoft.com/en-us/agent-framework/overview/

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