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What is Khorus?

Khorus is a dynamic platform crafted to establish a comprehensive communication framework for intelligent systems, enabling developers, startups, and enterprises to build, deploy, and monetize networks of AI agents and robotic workflows. Central to this platform is its groundbreaking Agent-to-Agent (A2A) architecture, which supports task coordination, contextual sharing, and collaboration among AI agents, advancing beyond mere data transfer. The platform is designed to accommodate scalable modules across diverse industries such as IoT, gaming, robotics, and Web3, and it features an on-chain agent economy that utilizes standards like ERC-8004 and X402 for the publication, licensing, and monetization of agents and workflows within a marketplace. Users have the ability to define agent roles, capabilities, and environments, link APIs and integrations, initiate workflows, and monitor task progress. Additionally, they can provide their agents or automation blueprints for others to access, thus creating a source of recurring revenue through their contributions to the ecosystem. In this way, Khorus not only improves collaboration among AI agents but also cultivates a viable model for ongoing innovation and financial return. Ultimately, Khorus represents a significant advancement in the way intelligent systems can interact and thrive in a connected landscape.

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

Integrations Supported

AG-UI
Dock
Ejentum
Gemini Managed Agents
Hindsight
Oxylabs
Python
Weaviate
xpander.ai

API Availability

Has API

API Availability

Has API

Pricing Information

$49 per month
Free Version

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Khorus

Company Location

United States

Company Website

khorus.io

Company Facts

Organization Name

Agno

Company Location

United States

Company Website

github.com/agno-agi/agno

Categories and Features

Agentic AI

Not specified

AI Agent Builders

Not specified

Categories and Features

Agentic AI

Not specified

AI Agent Builders

Not specified

AI Agent Frameworks

Not specified

AI Agents

Not specified

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