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ConnectOnion

ConnectOnion AI Agent
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Overview

Open-source Python framework for building production-ready LLM agents with plain functions as tools.

ConnectOnion is an open-source Python AI agent framework for developers who want to build agents with minimal boilerplate. Its core Agent API turns regular typed Python functions into tools automatically, and the documentation shows quick setup with pip install connectonion and a two-line agent pattern. The framework supports OpenAI, Anthropic, and Gemini models, and includes documentation for CLI commands, logging, debugging, TUI components, plugins such as ReAct, Eval, Shell, approvals, skills, subagents, and built-in tool integrations such as shell, file tools, browser automation, Gmail, Outlook, Calendar, memory, and todo workflows. It is best suited for engineering teams building custom LLM agents, tool-calling assistants, multi-agent workflows, and Python-based automation without adopting a heavy framework layer.

Autonomy level

37/100

Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.

Reasoning: ConnectOnion is an open-source Python framework for building AI agents rather than a single turnkey autonomous agent, so its effective autonomy depends on how developers design the agents that run on top of it. The quickstart flow (installing the package, running 'co create my-agent', then executing 'python agent.py') and the minimal template with ...

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Some of the use cases of ConnectOnion:

  • Building Python-based LLM agents with plain functions as tools
  • Creating tool-calling assistants with OpenAI, Anthropic, or Gemini models
  • Adding approval workflows for potentially dangerous tool execution
  • Prototyping multi-agent or subagent workflows
  • Building developer automation agents with shell, file, browser, memory, and calendar tools

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Popularity level: 25%

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