AI Deep Research Agent vs GPT Researcher
Side-by-side comparison built from DeepYard's structured catalog. Content updated Aug 21, 2026.
Direct Answer
AI Deep Research Agent suits teams needing open-source access, gpt 4 focus, and 133,530 GitHub stars in current listing data. GPT Researcher suits teams needing open-source access, docker focus, and 29,081 GitHub stars in current listing data. This summary reflects catalog metadata only for decision support, not independent testing.
What this comparison weighs
- Pricing and free-tier availability
- License model and deployment fit
- GitHub adoption and contributor depth
- Catalog tags, integrations, and supported workflows
| Metric | AI Deep Research Agent | GPT Researcher |
|---|---|---|
| GitHub Stars | 133.5K | 29.1K |
| Contributors | 95 | 234 |
| Last Commit | Aug 22, 2026 | Jul 18, 2026 |
| Open Issues | 14 | 182 |
| License | open-source | open-source |
| Pricing | open-source | open-source |
| Free Tier | Yes | Yes |
| Category | agents | agents |
| Trending | No | No |
Choose AI Deep Research Agent if you need
- • AI Deep Research Agent is the stronger pick when Gpt 4 matters because that capability is listed only on its profile.
- • AI Deep Research Agent shows broader GitHub adoption with 133,530 stars versus 29,081 for GPT Researcher.
- • AI Deep Research Agent is the cleaner fit if you specifically need Multi Step workflows from the catalog tags.
Choose GPT Researcher if you need
- • GPT Researcher stands out for Docker workflows that are not listed for AI Deep Research Agent.
- • GPT Researcher is the stronger pick when Openai matters because that capability is listed only on its profile.
- • GPT Researcher has a larger visible contributor base (234 vs 95).
Meaningful differences
- • Workflow emphasis: AI Deep Research Agent highlights Local, while GPT Researcher highlights Docker.
- • GitHub adoption: AI Deep Research Agent shows 133,530 stars versus 29,081 for GPT Researcher.
- • Contributor count: AI Deep Research Agent lists 95 contributors and GPT Researcher lists 234.
Shared capabilities
- • Research
- • Autonomous
- • Python
- • Claude
- • Gemini
Shared Tags
Only in AI Deep Research Agent
Only in GPT Researcher
Limitations and evidence
- • DeepYard compares structured public metadata; this is not an independent benchmark unless a test record is shown.
- • Signals such as stars, contributors, and last commit indicate public activity, not purchase fit or runtime quality.
- • Pricing and feature coverage reflect the stored listing snapshot and may lag vendor changes between refreshes.
Source links
About AI Deep Research Agent
An advanced AI agent that performs deep, multi-step research by autonomously querying multiple sources, synthesizing findings, and generating comprehensive research reports. Built on top of LLM APIs, it plans research strategies, executes parallel searches, evaluates source credibility, and produces structured outputs with citations. Part of the awesome-llm-apps collection.
View full listingAbout GPT Researcher
GPT Researcher is an autonomous agent that conducts comprehensive deep research on any topic. Uses a multi-agent architecture (planning + execution agents) to produce detailed, factual reports with citations from 20+ aggregated web and local document sources (PDF, CSV, Excel, Markdown, PowerPoint, Word). Features AI-generated inline visuals via Gemini, deep research mode with configurable tree-like exploration, JavaScript-enabled scraping for dynamic content, multiple export formats (PDF, Word), and MCP server mode for AI assistant integration.
View full listing