LLocalSearch

LLocalSearch is an open-source search engine framework designed to run entirely on local infrastructure using large language model agents to gather and synthesize information from the web. The system allows users to submit natural language questions, after which a chain of LLM-driven agents recursively searches for relevant information and compiles a response. Unlike many AI search tools, LLocalSearch operates without requiring external cloud APIs or proprietary services, making it suitable for privacy-focused or offline environments. The architecture integrates local language models with external tools such as search engines, enabling the system to gather up-to-date information while keeping model execution on local hardware. The tool also exposes the internal reasoning process of its agents so users can observe how queries are expanded and how results are retrieved during the search process.