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Description
Agno is a streamlined framework designed for creating agents equipped with memory, knowledge, tools, and reasoning capabilities. It allows developers to construct a variety of agents, including reasoning agents, multimodal agents, teams of agents, and comprehensive agent workflows. Additionally, Agno features an attractive user interface that facilitates communication with agents and includes tools for performance monitoring and evaluation. Being model-agnostic, it ensures a consistent interface across more than 23 model providers, eliminating the risk of vendor lock-in. Agents can be instantiated in roughly 2μs on average, which is about 10,000 times quicker than LangGraph, while consuming an average of only 3.75KiB of memory—50 times less than LangGraph. The framework prioritizes reasoning, enabling agents to engage in "thinking" and "analysis" through reasoning models, ReasoningTools, or a tailored CoT+Tool-use method. Furthermore, Agno supports native multimodality, allowing agents to handle various inputs and outputs such as text, images, audio, and video. The framework's sophisticated multi-agent architecture encompasses three operational modes: route, collaborate, and coordinate, enhancing the flexibility and effectiveness of agent interactions. By integrating these features, Agno provides a robust platform for developing intelligent agents that can adapt to diverse tasks and scenarios.
Description
Contextually is an innovative enterprise AI platform aimed at empowering organizations to create and implement production-ready AI agents capable of interpreting intricate, domain-specific information through sophisticated context engineering. It features a cohesive context layer that links AI models to extensive enterprise knowledge, which encompasses a variety of sources such as documents, databases, and multimodal data, allowing agents to produce precise, well-founded, and pertinent results. Users can swiftly define and configure agents using prebuilt templates, natural language prompts, or an intuitive visual drag-and-drop interface, accommodating both dynamic agents and structured workflows customized for particular applications. Additionally, the platform comes equipped with capabilities to ingest and process vast datasets from diverse origins, converting both unstructured and structured data into accessible knowledge through intelligent parsing, metadata creation, and ongoing updates. By harnessing these features, organizations can enhance their operational efficiency and decision-making processes.
API Access
Has API
API Access
Has API
Integrations
Oxylabs
Python
xpander.ai
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
Agno
Country
United States
Website
github.com/agno-agi/agno
Vendor Details
Company Name
Contextually
Country
United States
Website
contextually.me/