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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

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

OpenChiip Harness serves as an advanced framework for developers aiming to create self-hosted AI agents and orchestrate their workflows, whether they function independently or collaboratively. This innovative tool integrates large language model interactions, skill management, tool usage, multi-tiered memory systems, resource tracking, and teamwork among multiple agents, all presented through a user-friendly React-based admin dashboard. Users can operate it locally or link it to the OpenChiip platform to facilitate joint scheduling efforts. The system is equipped with a command-line interface, a web dashboard, an HTTP API, and a WebSocket interface, all of which enable effective management of chats, tools, sessions, memory, tasks, and performance monitoring. Additionally, it accommodates various model providers such as Baidu ERNIE and those compatible with OpenAI, along with the ability to delegate tasks to Codex or Claude Code. Installation options include pip, Docker, Linux packages, systemd, and Windows installers, while macOS users can also utilize pip for installation. The framework is distributed under the AIGCGPL-1.0 license, ensuring flexibility and openness for developers. With its comprehensive features, OpenChiip Harness is poised to significantly enhance the efficiency and effectiveness of AI agent workflows.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

No images available

Integrations

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

Integrations

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

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

OpenChiip Harness is distributed under AIGCGPL-1.0 with royalty-free use. Users provide a model-provider API key; provider usage charges may apply separately.
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 Yes 
Mac Yes 
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 No 
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

OpenChiip

Founded

2024

Country

China

Website

www.openchiip.com

Product Features

Alternatives

Alternatives

No Alternatives
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