LLocalSearch
LLocalSearch is a completely locally running search aggregator using LLM Agents. The user can ask a question and the system will use a chain of LLMs to find the answer. The user can see the progress of the agents and the final answer. No OpenAI or Google API keys are needed.
LLocalSearch is a locally-running AI search engine that lets you ask questions in plain English and get web-sourced answers, all without sending data to any external API. It uses AI agents and Ollama to run language models on your own computer.
LLocalSearch is a locally-running search tool powered by small AI language models. It lets you ask a question in plain English, and the system uses AI agents to search the internet and compile an answer, all without sending data to OpenAI, Google, or any external API service. No API keys are required.
The core idea is that a language model runs on your own computer and is given access to tools, including web search. The model reads your question, decides which tools to call, searches the web, reviews the results, and may search again based on what it finds. This cycle repeats until the model has enough information to answer. The interface shows each step as it happens, including the links and sources the agent consulted, so you can trace how the answer was formed.
The project was motivated by concerns about commercial AI search products being shaped by paid partnerships with publishers. LLocalSearch runs on local hardware with no external service involved, so no third party can influence which sources appear or how they are ranked.
Installation uses Docker. The system connects to Ollama, a tool for running language models on your own machine. The README notes the demo was recorded on hardware with a roughly 300 euro GPU, which the author frames as accessible to mid-range hardware rather than requiring a high-end setup.
As of the most recent README update, active development on this version had paused for over a year. The author is working on a rewrite in a private beta and invited interested users to reach out to participate.
Where it fits
- Ask questions in plain English and get AI-generated answers sourced from the web, all running on your own computer without external APIs.
- Run a private AI search system without sending any queries to Google, OpenAI, or other third-party services.
- Trace how an AI agent searches the web step-by-step to see exactly which sources it consulted to build an answer.
- Deploy a local alternative to commercial AI search tools on mid-range home hardware using Docker and Ollama.