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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
VoltAgent is a versatile open-source framework for TypeScript that empowers developers to create, tailor, and manage AI agents with unparalleled control, speed, and an exceptional developer experience. This framework equips users with a comprehensive set of tools designed for enterprise-grade AI agents, enabling the creation of production-ready solutions with cohesive APIs, utilities, and memory capabilities. One of its key features is tool calling, which allows agents to execute functions, communicate with various systems, and carry out specific actions. VoltAgent streamlines the process of switching between different AI service providers through a unified API, needing only a minor code modification. It also incorporates dynamic prompting, facilitating experimentation, fine-tuning, and the iterative development of AI prompts within a cohesive environment. Additionally, its persistent memory feature enables agents to save and retrieve past interactions, thereby improving their intelligence and contextual understanding. Beyond these capabilities, VoltAgent enhances collaborative efforts by employing supervisor agent orchestration, which enables the construction of robust multi-agent systems coordinated by a central supervisor agent managing specialized agents. This orchestration not only boosts efficiency but also allows for the creation of intricate workflows tailored to specific application needs.
API Access
Has API
API Access
Has API
Integrations
Python
Airtable
Asana
Braintrust
Claude
Figma
GPT-4.1 mini
GitHub
Google Calendar
Google Sheets
Integrations
Python
Airtable
Asana
Braintrust
Claude
Figma
GPT-4.1 mini
GitHub
Google Calendar
Google Sheets
Pricing Details
Free
Free Trial
Free Version
Pricing Details
Free
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
VoltAgent
Founded
2025
Country
United States
Website
voltagent.dev/