Cerno Agentic Local Deep Research — AI skill for Claude Code
Cerno is a local-first research platform that leverages agentic AI to break down complex queries into verifiable, multi-step workflows.
How to install Cerno Agentic Local Deep Research
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open somjailefebvre/Cerno-Agentic-Local-Deep-Research and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Cerno Agentic Local Deep Research does
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.
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README
**Cerno : Agentic Deep Research**
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
- Highlights
- Local-First Principles
- Active Development & Community
- Prerequisites
- Docker Installation
- CLI Reference
- Project Structure
- Screenshots
- Use Cases
- Roadmap
- Security & Privacy
- Contributing
- License
🚀 Highlights
- Model-Agnostic Core: Effortlessly switch between premier LLMs (OpenAI, Google Gemini, 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
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