nilsherzig/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. observed · 2026-08-28
Health v2 · maintenance only
10/100
- Activity 73
- Release rhythm 8
- Longevity 63
Flags: archived
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 893
- days_rel: n/a
- days_push: 162
- n_releases_24m: 0
Adoption not part of the score
5947 stars · 364 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
LLocalSearch is a self-hosted search aggregator that uses locally running LLM agents to answer questions with web-sourced information, showing live agent progress and cited links. It requires no OpenAI or Google API keys and runs on modest consumer hardware.
Use cases
- search the web privately without sending queries to Google or OpenAI
- ask a question and get an LLM-synthesized answer with source links
- run a Perplexity-like AI search engine on my own hardware
- watch the agent's reasoning steps and tool calls live while it researches
- ask follow-up questions about a previous search result
- self-host an AI answer engine with no API keys
When to choose
- you want private, local AI-powered web search without API keys
- you have a consumer GPU and want to run everything yourself
- you value transparent agent logs and cited sources over black-box answers
- you want a mobile-friendly, self-hosted search UI
When to avoid
- you need a actively maintained project - the public version has not been developed for over a year
- you need production-grade reliability or chat history features
- you have no local GPU or hardware to run LLMs
- you want the best answer quality regardless of privacy, using frontier cloud models
Facets
application · maturity maintenance
search-engine agent-framework llm-inference rag web-scraping chat-interface artificial-intelligence large-language-models privacy self-hosted web-development self-hosted cross-platform go local-llm search-aggregator llm-agents privacy-respecting perplexity-alternative langchaingo ollama search ai-agents docker web-server
1 source
- readme: https://github.com/nilsherzig/LLocalSearch · fetched 2026-08-28 · 2a48124dcc2b
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| nilsherzig/LLocalSearch | main | 10 |
For agents
markdown · JSON · MCP: product_card(name="nilsherzig/LLocalSearch")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem