GPT Researcher vs Mixture of Agents
Side-by-side comparison built from DeepYard's structured catalog. Content updated Aug 21, 2026.
Direct Answer
GPT Researcher suits teams needing open-source access, docker focus, and 29,081 GitHub stars in current listing data. Mixture of Agents suits teams needing open-source access, gpt 4 focus, and 133,530 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 | GPT Researcher | Mixture of Agents |
|---|---|---|
| GitHub Stars | 29.1K | 133.5K |
| Contributors | 234 | 95 |
| Last Commit | Jul 18, 2026 | Aug 22, 2026 |
| Open Issues | 182 | 14 |
| License | open-source | open-source |
| Pricing | open-source | open-source |
| Free Tier | Yes | Yes |
| Category | agents | agents |
| Trending | No | No |
Choose GPT Researcher if you need
- • GPT Researcher stands out for Docker workflows that are not listed for Mixture of Agents.
- • 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).
Choose Mixture of Agents if you need
- • Mixture of Agents is the stronger pick when Gpt 4 matters because that capability is listed only on its profile.
- • Mixture of Agents shows broader GitHub adoption with 133,530 stars versus 29,081 for GPT Researcher.
- • Mixture of Agents is the cleaner fit if you specifically need Routing workflows from the catalog tags.
Meaningful differences
- • Workflow emphasis: GPT Researcher highlights Docker, while Mixture of Agents highlights Local.
- • GitHub adoption: GPT Researcher shows 29,081 stars versus 133,530 for Mixture of Agents.
- • Contributor count: GPT Researcher lists 234 contributors and Mixture of Agents lists 95.
Shared capabilities
- • Multi Agent
- • Python
- • Claude
- • Gemini
Shared Tags
Only in GPT Researcher
Only in Mixture of Agents
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 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 listingAbout Mixture of Agents
A Mixture of Agents (MoA) implementation that routes tasks to specialized AI agents based on the task type, then aggregates their outputs for a final response. Each agent has domain expertise (coding, research, analysis, etc.), and the router agent selects the optimal combination. This approach often outperforms any single model by leveraging complementary strengths. Part of the awesome-llm-apps collection.
View full listing