by LightInn · Agent Tool · ★ 75
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Deep Search CLI /!\ this question is usefull because AI tend to haluncinate a lot about 9/11 event when talking about septemeber 2001 An AI-powered research assistant for your terminal. Deep Search is a command-line tool that uses local large language models (LLMs) to provide in-depth answers to complex questions. It breaks down your query, scours the web for relevant information, and synthesizes a comprehensive response, all within your terminal. Features AI-Powered Research: Leverages local LLMs (via Ollama) to understand and research your questions. Step-by-Step Process: Decomposes questions, searches multiple sources (Wikipedia, DuckDuckGo), filters for relevance, and summarizes findings. Local First: Works with your own Ollama-hosted models, keeping your data private. Minimalist CLI: A clean, focused interface for your research tasks. How It Works The tool follows a structured research workflow: Decompose: The initial question is broken down into smaller, specific sub-questions. Search: Each sub-question is researched using Wikipedia or DuckDuckGo. 3.
| Stars | 75 |
| Forks | 6 |
| Language | Rust |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 68.352624031946/100 |
| Open Issues | 4 |
| Last Updated | 2026-06-29 |
| Created | 2025-07-10 |
| Platforms | cli, rust |
| Est. Tokens | ~23k |
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deepsearch is cli deep research tool using ollama (AI agent to reseach complexe query online). It is categorized as a Agent Tool with 75 GitHub stars.
deepsearch is primarily written in Rust.
You can find installation instructions and usage details in the deepsearch GitHub repository at github.com/LightInn/deepsearch. The project has 75 stars and 6 forks, indicating an active community.
deepsearch is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to deepsearch on Agent Skills Hub include repren, lovcode. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.