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Clioloop — The Open-Source AI Agent with Agentic Fusion

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Clioloop — The Open-Source AI Agent with Agentic Fusion

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.

The Problem

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.

What is Agentic Fusion?

When you run /fusion, a panel of models collaborates on your task:

  1. Planners (up to 5): Read-only models that research and propose routes in parallel. They figure out the best approach but can't touch your files or run commands.
  2. Main model: Your chosen model does the actual work — full tool access, fully visible. You watch every step. Not a black box.
  3. Reviewers (up to 5): Read-only models that critique the draft. They can see images the main model generated. They check for errors, suggest fixes, flag issues.
  4. Verdict loop: The draft is revised until reviewers approve. The answer you get has already passed independent review.
  5. Fusion: Everything combines into one reviewed, approved answer.

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.

Safety by Construction

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.

Beyond Fusion

Clioloop is also:

  • Self-improving: Keeps MEMORY.md and USER.md, updated automatically as it learns your preferences and projects
  • Autonomous: Set a standing goal with /goal and it loops — planning, running tools, checking progress — until done
  • Everywhere: Terminal, desktop app, web dashboard, Telegram, Slack, Discord, WhatsApp — same session, same memory
  • Multi-agent Kanban: Break big work into a board of tasks; worker agents pick them up and report back
  • Tools: File editing, shell, web search & extract, cloud browser, image generation (ComfyUI/Flux), video generation, TTS, any MCP server
  • Scheduled jobs: Run it on cron for automated workflows
  • Open-source: Self-host everything. Own your data. No vendor lock-in.

The Omni Loop Portal

One 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.

Install

# 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

Links

We're building this in the open. Feedback, criticism, feature requests — all welcome. What would you want from an AI agent?

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