Clioloop — The Open-Source AI Agent with Agentic Fusion

Clioloop, an open-source AI agent featuring Agentic Fusion, has been released. The agent uses a panel of models that collaborate on tasks via a /fusion command, synthesizing outputs from cheap open models to rival frontier model quality at lower cost. It includes read-only planners and reviewers, automatic memory updates, and a tool gateway for web search, browser automation, image generation, and TTS.

We just open-sourced Clioloop , an AI agent with a feature we're calling Agentic Fusion . I want to share how it works and why we built it. Most AI assistants give you one model's answer. If it's wrong, you catch it or you don't. If you use a cheap model, quality drops. If you use a frontier model, you pay frontier prices for everything — even a simple file rename. When you run /fusion , a panel of models collaborates on your task: The quality comes from synthesis — not from running the same job 5 times. Cheap open models combine into something that rivals a frontier model at a fraction of the cost. Planners and reviewers are read-only at the schema level. They can research and critique, but they can never touch your files or execute commands. Only your main model has tool access, and you watch it work live. Clioloop is also: MEMORY.md and USER.md , updated automatically as it learns your preferences and projects /goal and it loops — planning, running tools, checking progress — until doneOne OAuth login gives you access to 300+ models. No API keys to manage. An OpenAI-compatible proxy means you can point any existing tool at it. The tool gateway handles web search, browser automation, image gen, and TTS — all metered, all behind one account. macOS / Linux curl -fsSL https://raw.githubusercontent.com/Clioloop/Clioloop-agent/main/scripts/install.sh | bash Windows PowerShell iex irm https://raw.githubusercontent.com/Clioloop/Clioloop-agent/main/install.ps1 Then: clio setup → pick Omni Loop Portal → approve in browser → start looping We're building this in the open. Feedback, criticism, feature requests — all welcome. What would you want from an AI agent?