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

assafelovic/gpt-researcher

An autonomous agent that conducts deep research on any data using any LLM providers observed · 2026-08-28

github.com/assafelovic/gpt-researcher · homepage · Python · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

96/100

  • Activity 99
  • Release rhythm 99
  • Longevity 86
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: 14.0
  • age_days: 1209
  • days_rel: 9
  • days_push: 9
  • n_releases_24m: 41

Full methodology

Adoption not part of the score

29160 stars · 3959 forks observed · 2026-08-28

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

GPT Researcher is an open-source autonomous deep research agent that plans research questions, scrapes web and local sources, and produces detailed cited research reports using any LLM provider. It is available as a Python package, Docker image, web app, and MCP server, with parallelized planner/execution agents for speed and reliability.

Use cases

  • generate deep research reports with citations on any topic
  • automate market research and competitor analysis
  • build a custom domain-specific research agent
  • run an MCP research server for Claude or other LLM clients
  • research company briefs, stock analysis, or trend reports
  • aggregate and summarize information from multiple web sources automatically

When to choose

  • you need long, factual, cited research reports rather than short LLM answers
  • you want an open-source alternative to closed deep-research products
  • you need to plug research capabilities into your app via Python or MCP
  • you want to customize research agents for specific domains or sources

When to avoid

  • you need a simple chatbot without web research
  • you cannot incur LLM API costs, since each task consumes tokens
  • you need fully deterministic, verifiable outputs without LLM hallucination risk
  • you want a lightweight tool without web scraping infrastructure

Facets

library · maturity active

agent-framework rag web-scraping search-engine llm-inference mcp sdk artificial-intelligence large-language-models python self-hosted cross-platform deep-research autonomous-agent research-reports multi-agent citations open-source ai-agents retrieval-augmented-generation natural-language-processing automation research docker web-server

4 sources

Member repositories

RepositoryRoleHealth v2
assafelovic/gpt-researchermain96

For agents

markdown · JSON · MCP: product_card(name="assafelovic/gpt-researcher")

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