Agentic Fusion: Multi-Model AI That Reviews Its Own Work
Most AI agents today rely on a single model. You ask a question, the model answers, and you hope it's right. If it's wrong, you have to catch the error yourself.
Clioloop takes a different approach with Agentic Fusion — multiple LLMs collaborate in a plan → work → review loop that catches errors before you ever see them.
How Agentic Fusion Works
When you run /fusion in Clioloop, three phases execute:
1. Plan Phase
Up to 5 planner models propose different approaches to your task. They research, analyze, and suggest the best route — all in read-only mode. They can't touch your files or run commands.
2. Work Phase
Your main model takes the best plan and executes it — writing code, browsing the web, editing files, running terminal commands. This happens in the open, not in a black box. You watch every step.
3. Review Phase
Up to 5 reviewer models independently critique the work. They check for errors, edge cases, and quality issues. If they find problems, the loop iterates — the work phase runs again with the feedback.
The Verdict Loop
This continues until the reviewers approve the output, or a configurable iteration limit is reached. The answer you receive has already been reviewed by multiple independent models.
Why This Matters
Single-model agents have blind spots. Every model has weaknesses — some hallucinate facts, others produce insecure code, others miss edge cases. Agentic Fusion turns these weaknesses into strengths by combining models that compensate for each other.
- A cheap model can do the planning (fast, low cost)
- Your best model does the actual work (high quality where it matters)
- Multiple reviewers catch what the worker missed (quality assurance)
Safety by Construction
The architecture is safe by design:
- Planners are read-only — they research and propose but can't execute anything
- Reviewers are read-only — they critique but can't modify
- Only your main model has write access, and you watch it work in real-time
- Memory persists across sessions (SQLite-backed)
- Skills are YAML-based reusable workflows
What Clioloop Can Do
Beyond Agentic Fusion, Clioloop is a full-featured AI agent:
- Browser automation — navigate, click, fill forms, extract data
- Code execution — run Python, shell commands, build projects
- Web search — research any topic with real web results
- Image generation — generate images via integrated pipelines
- File operations — read, write, search, and edit files
- Terminal access — full shell capability
- Telegram gateway — interact via messaging
- Persistent memory — learns and improves across sessions
- Skills system — reusable workflows encoded in YAML
- Multi-agent Kanban — coordinate multiple agents on complex tasks
- Scheduled jobs — cron-based automation
The Portal
The Omni Loop Portal at portal.clioloop.com provides:
- OAuth device-code onboarding (no API key management)
- OpenAI-compatible inference proxy
- Full tool gateway (web search, browser, image gen, TTS)
- One account, 300+ models
Get Started
curl -fsSL https://raw.githubusercontent.com/Clioloop/Clioloop-agent/main/scripts/install.sh | bash
Then:
clio setup
Links
- Website/Portal: clioloop.com
- GitHub: github.com/Clioloop/Clioloop-agent
- Docs: portal.clioloop.com/docs
Agentic Fusion is the core idea: instead of trusting one model, trust a team. Multiple models planning, working, and reviewing together produce better results than any single model alone.
Try it and let us know what you think!
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