Comparison
gpt-researcher vs autogen
Verdict
Pick gpt-researcher if gpt-researcher is an autonomous agent that uses Language Model Providers to conduct deep research automatically, supporting various installation methods including Docker and deployment as a Claude Skill; pick autogen if autoGen is a Python-based framework for developing and managing agentic AI systems. It includes the AutoGen Studio for no-code GUI setup, integrating with various models.
Markdown twin · gpt-researcher alternatives · autogen alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | gpt-researcher | autogen |
|---|---|---|
| Maintenance | Active (21d since push) As of 1w · github_public_v1 | Slowing (107d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1w · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | Published findings As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- gpt-researcher
- An autonomous agent that conducts deep research using LLM providers
- autogen
- A programming framework for agentic AI
Stars
- gpt-researcher
- 29k
- autogen
- 60k
Forks
- gpt-researcher
- 3.9k
- autogen
- 9.1k
Open issues
- gpt-researcher
- 192
- autogen
- 970
Language
- gpt-researcher
- Python
- autogen
- Python
Adopt for
- gpt-researcher
- gpt-researcher is an autonomous agent that uses Language Model Providers to conduct deep research automatically, supporting various installation methods including Docker and deployment as a Claude Skill.
- autogen
- AutoGen is a Python-based framework for developing and managing agentic AI systems. It includes the AutoGen Studio for no-code GUI setup, integrating with various models.
Persona
- gpt-researcher
- -
- autogen
- -
Runtime
- gpt-researcher
- -
- autogen
- -
License
- gpt-researcher
- Apache-2.0
- autogen
- CC-BY-4.0
Last pushed
- gpt-researcher
- Jul 18, 2026
- autogen
- Apr 15, 2026
Categories
- gpt-researcher
- AI Agents, Data & Retrieval
- autogen
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- gpt-researcher
- Active (82%)
- autogen
- Slowing (36%)
Days since push
- gpt-researcher
- 21d
- autogen
- 107d
Open issues (now)
- gpt-researcher
- 192
- autogen
- 970
Stars delta
- gpt-researcher
- +737 (30d)
- autogen
- Unknown
Open issues delta
- gpt-researcher
- -18 (30d)
- autogen
- Unknown
Owner type
- gpt-researcher
- User
- autogen
- Organization
OSV dependency advisories
- gpt-researcher
- Published findings
- autogen
- No lockfile (source not queried)
Full report
- gpt-researcher
- Trust report
- autogen
- Trust report
Typed relationship
gpt-researcher alternative autogenautogen is a framework for creating multi-agent AI applications, comparable to GPT Researcher's function of conducting deep research using agents with LLM capabilities.
Shared compatibility
- Node.js · gpt-researcher: Node.js runtime · autogen: Node.js runtime
- Python · gpt-researcher: Python runtime · autogen: Python runtime
Choose gpt-researcher if…
- License: gpt-researcher is Apache-2.0, autogen is CC-BY-4.0.
- Pricing: The core functionality of gpt-researcher under Apache-2.0 license is free to use, however, users need API keys from external Language Model Providers like OpenAI and Tavily, which are subject to their.
- autogen is a framework for creating multi-agent AI applications, comparable to GPT Researcher's function of conducting deep research using agents with LLM capabilities.
- Tags unique to gpt-researcher: agent, automation, deepresearch, llms.
- Also covers Data & Retrieval.
- gpt-researcher ships Docker support for self-hosted deployment.
- - When you require automated in-depth research capabilities across diverse LLM providers like OpenAI and Tavily.
When NOT to use gpt-researcher
- - If your setup strictly adheres to a specific tool that does not support the extension of capabilities through skills like Claude Skills.
- - In scenarios with stringent network restrictions where running an autonomous agent on top of various LLM providers is prohibited or poses security risks.
Choose autogen if…
- License: autogen is CC-BY-4.0, gpt-researcher is Apache-2.0.
- Requirements: Min 4 GB RAM; AutoGen requires Python 3.10 or later.; Ensure security when connecting to MCP servers due to the potential for local command execution and sensitive information exposure..
- autogen is a framework for creating multi-agent AI applications, comparable to GPT Researcher's function of conducting deep research using agents with LLM capabilities.
- Tags unique to autogen: agentic-agi, agents, autogen, autogen-ecosystem.
- Also covers LLM Frameworks.
- You need a framework that supports integration with multiple AI models via OpenAI's chat completion client.
When NOT to use autogen
- If you require tools supporting multiple programming languages beyond Python, as AutoGen is strictly a Python-based framework.
- When deploying in environments where connecting to external servers (like those used by MCP) could pose security risks or is prohibited.
- You need solutions which do not involve additional installations for server components such as `playwright/mcp`, as AutoGen requires this setup for certain functionalities.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (assafelovic/gpt-researcher) · observed Aug 8, 2026
- GitHub forks (assafelovic/gpt-researcher) · observed Aug 8, 2026
- Last push (assafelovic/gpt-researcher) · observed Jul 18, 2026
- License file (Apache-2.0) · observed Aug 8, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (microsoft/autogen) · observed Aug 1, 2026
- GitHub forks (microsoft/autogen) · observed Aug 1, 2026
- Last push (microsoft/autogen) · observed Apr 15, 2026
- License file (CC-BY-4.0) · observed Aug 1, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: gpt-researcher 29k · autogen 60k (synced Aug 8, 2026).
Common questions
- What is the difference between gpt-researcher and autogen?
- gpt-researcher: An autonomous agent that conducts deep research using LLM providers. autogen: A programming framework for agentic AI. See the comparison table for live GitHub stats and shared categories.
- When should I choose gpt-researcher over autogen?
- Choose gpt-researcher over autogen when License: gpt-researcher is Apache-2.0, autogen is CC-BY-4.0; Pricing: The core functionality of gpt-researcher under Apache-2.0 license is free to use, however, users need API keys from external Language Model Providers like OpenAI and Tavily, which are subject to their; autogen is a framework for creating multi-agent AI applications, comparable to GPT Researcher's function of conducting deep research using agents with LLM capabilities; Tags unique to gpt-researcher: agent, automation, deepresearch, llms; Also covers Data & Retrieval; gpt-researcher ships Docker support for self-hosted deployment; - When you require automated in-depth research capabilities across diverse LLM providers like OpenAI and Tavily.
- When should I choose autogen over gpt-researcher?
- Choose autogen over gpt-researcher when License: autogen is CC-BY-4.0, gpt-researcher is Apache-2.0; Requirements: Min 4 GB RAM; AutoGen requires Python 3.10 or later.; Ensure security when connecting to MCP servers due to the potential for local command execution and sensitive information exposure.; autogen is a framework for creating multi-agent AI applications, comparable to GPT Researcher's function of conducting deep research using agents with LLM capabilities; Tags unique to autogen: agentic-agi, agents, autogen, autogen-ecosystem; Also covers LLM Frameworks; You need a framework that supports integration with multiple AI models via OpenAI's chat completion client.
- When should I avoid gpt-researcher?
- - If your setup strictly adheres to a specific tool that does not support the extension of capabilities through skills like Claude Skills. - In scenarios with stringent network restrictions where running an autonomous agent on top of various LLM providers is prohibited or poses security risks.
- When should I avoid autogen?
- If you require tools supporting multiple programming languages beyond Python, as AutoGen is strictly a Python-based framework. When deploying in environments where connecting to external servers (like those used by MCP) could pose security risks or is prohibited. You need solutions which do not involve additional installations for server components such as
playwright/mcp, as AutoGen requires this setup for certain functionalities. - Is gpt-researcher or autogen more popular on GitHub?
- autogen has more GitHub stars (60,139 vs 28,883). Stars measure visibility, not whether either tool fits your constraints.
- Are gpt-researcher and autogen open source?
- Yes - both are open-source projects on GitHub (gpt-researcher: Apache-2.0, autogen: CC-BY-4.0).
- Where can I find alternatives to gpt-researcher or autogen?
- GraphCanon lists graph-backed alternatives at gpt-researcher alternatives and autogen alternatives (gpt-researcher markdown twin, autogen markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, gpt-researcher or autogen?
- gpt-researcher: Active. autogen: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for gpt-researcher and autogen?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: gpt-researcher trust report; autogen trust report.