# u14app/deep-research

Use any LLMs (Large Language Models) for Deep Research. Support SSE API and MCP server.

Repository: https://github.com/u14app/deep-research
Canonical: https://ross.abutalabs.com/products/u14app-deep-research
Homepage: https://research.u14.app
Language: JavaScript
License: MIT
License Family: permissive
Topics: deep-research, deepresearch, gemini, anthropic, deepseek, grok, ollama, openai, mcp-server, deep-research-api
Last push: 2026-06-18T14:43:29+00:00

## Health v2 (maintenance only)
Score: 72/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 88, release rhythm 69, longevity 39
- inputs: {"age_days": 557, "days_push": 76, "days_rel": 204, "gap_med": 14.5, "n_releases_24m": 7}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4684, forks 1063 (observed 2026-08-28T04:08:56.933752+00:00)

## What it is
Deep Research is a web application that uses any large language model (Gemini, OpenAI, Anthropic, DeepSeek, Grok, Ollama, etc.) combined with web search engines to generate in-depth research reports in minutes. It supports deployment to Vercel/Cloudflare, exposes an SSE API and MCP server, and stores all data locally in the browser for privacy.

## Use cases
- generate a deep research report on any topic with an LLM
- run deep research using my own OpenAI or Ollama models
- add deep research capabilities to my app via an SSE API
- use deep research as an MCP server from an AI agent
- compare options across the market with an AI-generated report
- do a technical deep dive on a technology with web search

## When to choose
- you want multi-step, web-connected research reports from any LLM provider
- you need a self-hostable deep research tool with privacy (local data storage)
- you want to integrate deep research into agents via MCP or SSE API

## When to avoid
- you need a simple single-prompt chatbot without iterative research
- you require fully offline research without any web search capability
- you need guaranteed citation accuracy or academic-grade sourcing

## Facets
- artifact type: application
- maturity: active
- function: llm-inference, rag, search-engine, web-framework, mcp, chatbot
- domain: artificial-intelligence, large-language-models, web-development, self-hosted
- platform: self-hosted, cloud
- tags: deep-research, multi-llm, web-search, sse-api, mcp-server, research-reports, vercel, cloudflare-pages, retrieval-augmented-generation, web-server, docker, nodejs

## Member repositories
- u14app/deep-research (main) score 72

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:56.933752+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 2026-08-29T18:19:18.315499+00:00, confidence not recorded.
  - readme: https://github.com/u14app/deep-research (fetched 2026-08-28T04:08:56.933752+00:00, sha 51505405080a)
  - homepage: https://research.u14.app (fetched 2026-08-29T09:03:39.536418+00:00, sha 1f2e0fb24e2d)
- Data as of 2026-08-30T08:39:29.467469+00:00.