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Description
AG2 is an open-source AgentOS that enables the rapid development of production-ready AI agents and multi-agent systems in a matter of minutes rather than months. Previously known as AutoGen, it offers a Python framework for constructing, managing, and scaling AI agents that can effectively collaborate through a shared context while utilizing tools, executing workflows, and accommodating both autonomous and human-in-the-loop processes. This platform is specifically tailored for developers focused on creating systems rather than just prompts, featuring user-friendly syntax, integrated conversation patterns, and a versatile infrastructure for multi-agent automation. In AG2, agents can enhance their functionalities through various tools, enabling them to connect with external systems, retrieve real-time information, run code, conduct web searches, process documents, and tackle intricate tasks that exceed a model's inherent knowledge. The framework is compatible with a wide range of large language model (LLM) providers and local models, such as OpenAI-compatible endpoints, Anthropic Claude, Gemini via Vertex AI, DeepSeek, and LM Studio, making it a flexible choice for developers. By streamlining the development process, AG2 significantly accelerates the innovation of AI solutions across various applications.
Description
IndyKite serves as a specialized context graph designed to provide real-time trust, oversight, and clarity for both applications and AI technologies. By converting various signals into immediate enforcement contexts, it evaluates access permissions at the point of usage, answering critical questions about who or what can access specific data, under which circumstances, and the rationale behind it. This innovative platform consolidates identity, metadata, provenance, and policies into a cohesive operational context engine, allowing applications and AI systems to function effectively without the need to navigate through fragmented IAM systems, catalogs, MDM, security tools, code, and documentation. Moreover, IndyKite integrates identity, data, and policy into a unified model, ensuring that controls are applicable to humans, machines, and AI alike. Its Identity Knowledge Graph accurately depicts users, applications, machines, data types, and their interconnections, ultimately creating a comprehensive data model that encompasses both personal and non-personal entities. This robust framework lays the groundwork for intelligent and predictive access control, enriched with contextual insights, facilitating enhanced decision-making across diverse scenarios. By ensuring that all elements of identity and access management are interconnected, IndyKite enhances the overall security and efficiency of AI-driven applications.
API Access
Has API
API Access
Has API
Integrations
Claude
DeepSeek
Gemini
Hindsight
LM Studio
OpenAI
Python
Vertex
Integrations
Claude
DeepSeek
Gemini
Hindsight
LM Studio
OpenAI
Python
Vertex
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
AG2
Founded
2024
Country
United States
Website
www.ag2.ai/
Vendor Details
Company Name
IndyKite
Founded
2021
Country
United States
Website
www.indykite.ai/