Ross ROSS = Recommend OSS · open-source software intelligence for agents

u14app/deep-research

Use any LLMs (Large Language Models) for Deep Research. Support SSE API and MCP server. observed · 2026-08-28

github.com/u14app/deep-research · homepage · JavaScript · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

72/100

  • Activity 88
  • Release rhythm 69
  • Longevity 39
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: 14.5
  • age_days: 557
  • days_rel: 204
  • days_push: 76
  • n_releases_24m: 7

Full methodology

Adoption not part of the score

4684 stars · 1063 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

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

application · maturity active

llm-inference rag search-engine web-framework mcp chatbot artificial-intelligence large-language-models web-development self-hosted self-hosted cloud deep-research multi-llm web-search sse-api mcp-server research-reports vercel cloudflare-pages retrieval-augmented-generation web-server docker nodejs

2 sources

Member repositories

RepositoryRoleHealth v2
u14app/deep-researchmain72

For agents

markdown · JSON · MCP: product_card(name="u14app/deep-research")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem