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Average Ratings 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

No User Reviews. Be the first to provide a review:

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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

A13n serves as a self-hosted, open-source framework for developing AI agents, allowing users to build, test, and deploy agent applications seamlessly. Developers can utilize the Python Harness SDK to define agents by providing specific instructions, models, tools, and execution environments, or they can opt for configuration via the Harness UI. This platform includes a shared workspace and an HTTP API tailored for applications that require managed agents, saved interactions, and the ability to resume previous sessions. Agents can function either locally or through a deployed service, featuring checkpointing capabilities for eligible operations. Additionally, the framework integrates with model providers, external software, web data services, and remote MCP servers, and it can be set up using Docker Compose or Kubernetes for easy deployment. It is specifically crafted for software developers and platform teams focused on creating AI-driven workflows and applications, while ensuring clients maintain control over their infrastructure and provider credentials. Consequently, A13n empowers developers to innovate and enhance their applications with advanced AI functionalities.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

AG-UI Yes 
Dock Yes 
Ejentum Yes 
Gemini Managed Agents Yes 
Hindsight Yes 
Model Context Protocol (MCP) No 
Ollama No 
Oxylabs Yes 
Python Yes 
Weaviate Yes 
xpander.ai Yes 

Integrations

AG-UI No 
Dock No 
Ejentum No 
Gemini Managed Agents No 
Hindsight No 
Model Context Protocol (MCP) Yes 
Ollama Yes 
Oxylabs No 
Python No 
Weaviate No 
xpander.ai No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

Agent Foundation is available under the Apache License 2.0. Self-hosted infrastructure and usage charges from external model or service providers are separate.
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Agno

Country

United States

Website

github.com/agno-agi/agno

Vendor Details

Company Name

Converge AI

Website

a13n.dev/

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