Connectonion: Scale AI Collaboration
Connectonion enables startup founders to efficiently collaborate with multiple AI agents using a unified framework
- •Building a multi-agent system for a startup project
- •Need to integrate multiple AI models for a unified workflow
- •Require a scalable framework for AI agent collaboration
Modify the example agent configuration in `config.py` to define a custom agent workflow: `agent1 = {'name': 'agent1', 'model': 'model1', 'dependencies': ['agent2']}`Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/connectonion && curl -fsSL https://workflowstacks.com/api/skills/connectonion/claude-skill -o ~/.claude/skills/connectonion/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Connectonion: Scale AI Collaboration is a very large Python project (~101k lines across 358 code files, plus 607 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, Apache-2.0 license, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2AGENTS.mdThe instructions the AI actually follows
- 3action.ymlWhere the program starts running
- 4pyproject.tomlDependencies and the commands it exposes
- 5connectonion/__init__.pyInside connectonion/ — the main logic begins here
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/connectonion && curl -fsSL https://workflowstacks.com/api/skills/connectonion/claude-skill -o ~/.claude/skills/connectonion/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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