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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
Action State Labs focuses on creating infrastructure for native Android AI agents, featuring an open-source tool named Android Use that facilitates seamless interaction between AI agents and native Android applications by directly accessing the Android Accessibility Tree, thus avoiding unreliable computer vision techniques. This innovative method allows AI agents to manage and interpret app user interfaces more quickly, at a significantly reduced cost (up to approximately 95% less), and with enhanced resilience to changes in UI, which simplifies the automation of intricate tasks such as logistics, field operations, and various functions usually performed on native mobile platforms. Furthermore, it offers an open-source core that can operate on local devices or emulators, along with a managed cloud solution that includes auto-scaling capabilities for enterprise applications, API endpoints, and comprehensive support services, enabling developers to efficiently create, test, and implement automation workflows powered by agents across multiple devices simultaneously. The combination of these features positions Action State Labs as a leader in the field of AI-driven automation for mobile applications.
API Access
Has API
API Access
Has API
Integrations
Oxylabs
Python
xpander.ai
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
Action State Labs
Founded
2025
Country
United States
Website
www.actionstatelabs.com