Clioloop: The Open-Source AI Agent That Thinks in Teams

Clioloop, an open-source AI agent, introduces a team-based approach where multiple models collaborate on tasks. Planners research, a main model executes with full tool access, and reviewers critique the output in a verdict loop until approval. This synthesis of cheap open models rivals frontier model quality at lower cost.

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: 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. Main model : Your chosen model does the actual work — full tool access, fully visible. You watch every step. Not a black box. 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. Verdict loop : The draft is revised until reviewers approve. The answer you get has already passed independent review. 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. 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 /goal and it loops until doneOne OAuth login gives you access to 300+ models. No API keys. An OpenAI-compatible proxy means any tool works out of the box. curl -fsSL https://raw.githubusercontent.com/Clioloop/Clioloop-agent/main/scripts/install.sh | bash Then: clio setup Links: We're building this in the open. Feedback welcome