Cerno is a local-first research platform that leverages agentic AI to break down complex queries into verifiable, multi-step workflows. Switch seamlessly between cloud LLMs and self-hosted models, track every reasoning step, and optimize cost and tokens—all while keeping your data on your machine.

Cerno : Agentic Deep Research

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Cerno is an open-source workspace for conducting deep, multi-step research and analysis using autonomous AI agents. Designed for developers and researchers who demand analytical transparency, Cerno exposes every reasoning step—from prompt decomposition to final synthesis—so you can observe, debug, and steer complex agentic workflows with confidence.

📚 Table of Contents

1. Highlights
2. Local-First Principles
3. Active Development & Community
4. Prerequisites
5. Docker Installation
6. CLI Reference
7. Project Structure
8. Screenshots
9. Use Cases
10. Roadmap
11. Security & Privacy
12. Contributing
13. License

🚀 Highlights

• Model-Agnostic Core: Effortlessly switch between premier LLMs (OpenAI, Google DeepSeek, Anthropic, DeepSeek) or run local models via Ollama.
• Zero-Config Setup: One CLI, one command—automatically create a virtual environment, install dependencies, and configure your workspace.
• Transparent Execution Plan: Visualize each agent task as it moves through Pending → Running → Success/Error state