Related Products
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About
Agno is a lightweight framework for building agents with memory, knowledge, tools, and reasoning. Developers use Agno to build reasoning agents, multimodal agents, teams of agents, and agentic workflows. Agno also provides a beautiful UI to chat with agents and tools to monitor and evaluate their performance. It is model-agnostic, providing a unified interface to over 23 model providers, with no lock-in. Agents instantiate in approximately 2μs on average (10,000x faster than LangGraph) and use about 3.75KiB memory on average (50x less than LangGraph). Agno supports reasoning as a first-class citizen, allowing agents to "think" and "analyze" using reasoning models, ReasoningTools, or a custom CoT+Tool-use approach. Agents are natively multimodal and capable of processing text, image, audio, and video inputs and outputs. The framework offers an advanced multi-agent architecture with three modes, route, collaborate, and coordinate.
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About
CAMEL-AI is the first LLM-based multi-agent framework and an open-source community dedicated to exploring the scaling laws of agents. It enables the creation of customizable agents using modular components tailored for specific tasks, facilitating the development of multi-agent systems that address challenges in autonomous cooperation. The framework serves as a generic infrastructure for various applications, including task automation, data generation, and world simulations. By studying agents on a large scale, CAMEL-AI.org aims to gain valuable insights into their behaviors, capabilities, and potential risks. The community emphasizes rigorous research, balancing urgency with patience, and encourages contributions that enhance infrastructure, improve documentation, and implement research ideas. The platform offers components such as models, tools, memory, and prompts to empower agents, and supports integrations with various external tools and services.
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About
Create your virtual team by using curated AI agents and even add your own. Use external tools to expand your AI interactions, such as generating images. Try visual input across multiple models to compare and improve. One-stop place to use LLMs in assistant mode and playground mode. Save your most frequently used prompts into library and use them at any time. Large Language Models (LLMs) have powerful reasoning capabilities, but their outputs are diverse and unpredictable. For generative AI applications to deliver value and competitiveness in vertical domains, they must efficiently and excellently handle similar tasks and scenarios. If this instability cannot be reduced to an acceptable level, the user experience will be impacted, and the product will lose its competitive edge. To ensure product stability and reliability, development teams need to thoroughly evaluate the models and prompts used during the development process.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
AI developers requiring a solution to build and deploy intelligent, multimodal agents with advanced reasoning capabilities
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Audience
AI researchers and developers looking for a tool to build and study large language model-based multi-agent systems for applications
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Audience
Users, developers, and individuals seeking an AI solution to generate images
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Not Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationAgno
United States
github.com/agno-agi/agno
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Company InformationCAMEL-AI
Founded: 2023
United States
www.camel-ai.org
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Company InformationConsoleX
United States
consolex.ai/
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Alternatives |
Alternatives |
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Categories |
Categories |
Categories |
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Integrations
AG-UI
Supported
Claude
Not Supported
Ejentum
Supported
Gemini 1.5 Pro
Not Supported
Gemini 2.0
Not Supported
Gemini 2.0 Flash
Not Supported
Gemini Enterprise
Not Supported
Gemini Managed Agents
Supported
Gemini Nano
Not Supported
Gemini Pro
Not Supported
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Integrations
AG-UI
Not Supported
Claude
Not Supported
Ejentum
Not Supported
Gemini 1.5 Pro
Not Supported
Gemini 2.0
Not Supported
Gemini 2.0 Flash
Not Supported
Gemini Enterprise
Not Supported
Gemini Managed Agents
Not Supported
Gemini Nano
Not Supported
Gemini Pro
Not Supported
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Integrations
AG-UI
Not Supported
Claude
Supported
Ejentum
Not Supported
Gemini 1.5 Pro
Supported
Gemini 2.0
Supported
Gemini 2.0 Flash
Supported
Gemini Enterprise
Supported
Gemini Managed Agents
Not Supported
Gemini Nano
Supported
Gemini Pro
Supported
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