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What is Contextually?

Contextually is an advanced enterprise AI platform designed to enable organizations to develop and deploy production-ready AI agents that can understand complex, specialized information through advanced context engineering techniques. This platform incorporates a unified context layer, connecting AI models to a wide range of enterprise knowledge drawn from various sources, including documents, databases, and multimodal data, thereby enabling agents to deliver accurate, reliable, and relevant insights. Users are able to quickly design and customize agents using ready-made templates, natural language instructions, or a user-friendly visual drag-and-drop interface, which supports both adaptive agents and structured workflows tailored to specific needs. Furthermore, the platform is equipped with powerful features for ingesting and processing large datasets from multiple sources, transforming unstructured and structured data into usable knowledge through intelligent parsing, metadata generation, and continuous updates. These capabilities empower organizations to significantly improve their operational efficiency and enhance their decision-making abilities, ultimately driving better outcomes across various business areas. This innovative approach to AI utilization positions Contextually as a vital tool for companies looking to leverage advanced technology for competitive advantage.

What is Agno?

Agno is an innovative framework tailored for the development of agents that possess memory, knowledge, tools, and reasoning abilities. It enables developers to create a wide array of agents, including those that reason, operate multimodally, collaborate in teams, and execute complex workflows. With an appealing user interface, Agno not only facilitates seamless interaction with agents but also includes features for monitoring and assessing their performance. Its model-agnostic nature guarantees a uniform interface across over 23 model providers, effectively averting the challenges associated with vendor lock-in. Agents can be instantiated in approximately 2 microseconds on average, which is around 10,000 times faster than LangGraph, while utilizing merely 3.75KiB of memory—50 times less than LangGraph. The framework emphasizes reasoning, allowing agents to engage in "thinking" and "analysis" through various reasoning models, ReasoningTools, or a customized CoT+Tool-use strategy. In addition, Agno's native multimodality enables agents to process a range of inputs and outputs, including text, images, audio, and video. The architecture of Agno supports three distinct operational modes: route, collaborate, and coordinate, which significantly enhances agent interaction flexibility and effectiveness. Overall, by integrating these advanced features, Agno establishes a powerful platform for crafting intelligent agents capable of adapting to a multitude of tasks and environments, promoting innovation in agent-based applications.

Media

Media

Integrations Supported

AG-UI
Oxylabs
Python
xpander.ai

Integrations Supported

AG-UI
Oxylabs
Python
xpander.ai

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

Contextually

Company Location

United States

Company Website

contextually.me/

Company Facts

Organization Name

Agno

Company Location

United States

Company Website

github.com/agno-agi/agno

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