Autono — MCP Server by vortezwohl

by vortezwohl · MCP Server · ★ 209

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

About Autono

A ReAct Based Highly Robust Autonomous Agent Framework. MCP is currently supported. How to use McpAgent. English | 繁體中文 | 简体中文</

agentagiaiaiagentautogenautonomous-agentsframeworklangchainllm-frameworkmcp

Quick Facts

Stars209
Forks38
LanguagePython
CategoryMCP Server
LicenseGPL-3.0
Quality Score38.25/100
Open Issues15
Last Updated2026-03-19
Created2024-10-25
Platformscli, mcp, python
Est. Tokens~65k

Autono alternative? Top 6 similar tools

Looking for a Autono alternative? If you're comparing Autono with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • autonomous-hr-chatbot by stepanogil · ⭐ 443

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    An introduction to the world of AI Agents

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  • chat.md by rusiaaman · ⭐ 106

    An md file as a chat interface and editable history in one.

  • ai-microcore by Nayjest · ⭐ 106

    A handy lib for smooth interaction with large language models (LLMs) and crafting AI apps.

  • DeepMCPAgent by cryxnet · ⭐ 806

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Frequently Asked Questions

What is Autono?

Autono is A ReAct-Based Highly Robust Autonomous Agent Framework.. It is categorized as a MCP Server with 209 GitHub stars.

What programming language is Autono written in?

Autono is primarily written in Python. It covers topics such as agent, agi, ai.

How do I install or use Autono?

You can find installation instructions and usage details in the Autono GitHub repository at github.com/vortezwohl/Autono. The project has 209 stars and 38 forks, indicating an active community.

What license does Autono use?

Autono is released under the GPL-3.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to Autono?

The top alternatives to Autono on Agent Skills Hub include autonomous-hr-chatbot, oreilly-ai-agents, corpusos. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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