Cerno-Agentic-Local-Deep-Research

# **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.

![Cerno](screenshots/browser.png)

## 📚 Table of Contents

1. [Highlights](#-highlights)
2. [Local-First Principles](#-local-first-principles)
3. [Active Development & Community](#️-active-development--community)
4. [Prerequisites](#-prerequisites)
5. [Docker Installation](#-docker-installation)
6. [CLI Reference](#️-cli-reference)
7. [Project Structure](#-project-structure)
8. [Screenshots](#-screenshots)
9. [Use Cases](#-use-cases)
10. [Roadmap](#-roadmap)
11. [Security & Privacy](#-security--privacy)
12. [Contributing](#-contributing)
13. [License](#-license)

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## 🚀 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