# nashsu/FreeAskInternet

FreeAskInternet is a completely free, PRIVATE and LOCALLY running search aggregator & answer generate using MULTI LLMs, without GPU needed. The user can ask a question and the system will  make a multi engine search and combine the search result to LLM and generate the answer based on search results. It's all FREE to use.

Repository: https://github.com/nashsu/FreeAskInternet
Canonical: https://ross.abutalabs.com/products/freeaskinternet
Language: Python
License: Apache-2.0
License Family: permissive
Last push: 2024-04-18T06:46:33+00:00

## Health v2 (maintenance only)
Score: 25/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 62
- inputs: {"age_days": 880, "days_push": 867, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 8746, forks 905 (observed 2026-08-28T04:10:25.526920+00:00)

## What it is
FreeAskInternet is a self-hosted, Perplexity-like search aggregator and answer generator that runs multi-engine searches via SearXNG and feeds results to free LLM APIs (ChatGPT3.5, Qwen, Kimi, ZhipuAI) or custom LLMs like Ollama. It runs entirely locally without GPU or API keys and is deployed via Docker Compose with a web and mobile-friendly chat UI.

## Use cases
- run a private perplexity alternative locally
- search the web and get AI-generated answers without API keys
- self-host an AI answer engine with ollama
- aggregate multi-engine search results into an LLM answer
- chat with an LLM grounded in live web search results
- use an AI search assistant without a GPU

## When to choose
- you want a free, private, locally running AI search/answer app
- you have no GPU and want LLM answers based on web search
- you want to plug in custom LLMs like Ollama or llama.cpp
- you prefer Docker Compose one-command deployment

## When to avoid
- you need a production-grade, actively maintained product
- you require official paid LLM APIs with API keys
- you need RAG over your own documents rather than web search
- your network cannot freely access the search engines and LLM endpoints it relies on

## Facets
- artifact type: application
- maturity: experimental
- function: search-engine, rag, llm-inference, chat-interface, web-scraping, self-hosted
- domain: large-language-models, artificial-intelligence, self-hosted
- platform: self-hosted, python, cross-platform
- tags: perplexity-clone, searxng, ollama, local-first, privacy, docker-compose, answer-engine, retrieval-augmented-generation, search, docker, web-server

## Member repositories
- nashsu/FreeAskInternet (main) score 25

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:25.526920+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:25:16.976040+00:00, confidence not recorded.
  - readme: https://github.com/nashsu/FreeAskInternet (fetched 2026-08-28T04:10:25.526920+00:00, sha b40888119438)
- Data as of 2026-08-30T08:39:29.467469+00:00.