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Gpt Researcher
An autonomous agent that conducts deep research on any data using any LLM providers
mcp
01
At a glance.
A compact read before the deeper capability notes and official setup links.
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Core features.
Feature cards focus on what the tool helps users do, not generated setup commands.
GPT Researcher the first open deep research agent designed for both web and local research on any given task.
The agent produces detailed, factual, and unbiased research reports with citations.
GPT Researcher provides a full suite of customization options to create tailor made and domain specific research agents.
Inspired by the recent Plan-and-Solve and RAG papers, GPT Researcher addresses misinformation, speed, determinism, and reliability by offering stable performance and increased speed through parallelized agent work.
Objective conclusions for manual research can take weeks, requiring vast resources and time.
LLMs trained on outdated information can hallucinate, becoming irrelevant for current research tasks.
Current LLMs have token limitations, insufficient for generating long research reports.
Selective web sources can introduce bias into research tasks.
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Agent / Skill / MCP / Workflow fit.
This panel keeps technical format separate from the user-facing AI category.
05
Official setup path.
Generated install snippets are intentionally not mirrored here because they drift. The page links to source-owned setup docs instead.
06
Evidence and adoption notes.
These notes help a user decide whether to investigate the official project further.
Source repository last pushed at 2026-04-16T17:41:04Z.
Generated from source metadata; confirm operational details in the official project before adopting it.
Review the upstream license, maintenance activity, and issue history before using it in production.
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