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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
Twin is a cloud-based AI platform designed to help people build autonomous businesses through intelligent agents. It enables users to create complex, end-to-end workflows without coding, APIs, or technical knowledge. Twin focuses on operational workflows such as sales, scheduling, customer support, finance, and logistics. During its public beta, users rapidly built agents that handled trading, retail arbitrage, service businesses, and wholesale operations. The platform automatically writes integrations, fixes errors, and maintains systems over time without user intervention. Twin agents include long-term memory that consolidates context and improves performance across tasks. As agents learn, users spend less time prompting and more time scaling outcomes. Twin optimizes cost by switching between high-reasoning and lightweight models during execution. The platform runs entirely in the cloud, allowing instant startup and infinite scalability. Twin makes building autonomous companies accessible to anyone with an idea.
API Access
Has API
API Access
Has API
Integrations
AG-UI
Dock
Ejentum
Hindsight
Oxylabs
Python
xpander.ai
Pricing Details
Free
Free Trial
Free Version
Pricing Details
€20/month
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
Twin Labs
Founded
2023
Country
France
Website
twin.so/