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 agentic AI systems, offering tools for integrating with external models and services, and a no-code GUI for easier interaction.
Markdown twin · gpt-researcher alternatives · autogen alternatives
GraphCanon updated Sep 20, 2026
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Trust & integrity
| Signal | gpt-researcher | autogen |
|---|---|---|
| Maintenance | Active (11d since push) As of Sep 8, 2026 · github_public_v1 | Slowing (155d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 8, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 2026 · 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
- 61k
Forks
- gpt-researcher
- 4.0k
- autogen
- 9.2k
Open issues
- gpt-researcher
- 76
- autogen
- 1.1k
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 agentic AI systems, offering tools for integrating with external models and services, and a no-code GUI for easier interaction.
Persona
- gpt-researcher
- -
- autogen
- -
Runtime
- gpt-researcher
- -
- autogen
- -
License
- gpt-researcher
- Apache-2.0
- autogen
- CC-BY-4.0
Last pushed
- gpt-researcher
- Aug 27, 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
- 11d
- autogen
- 155d
Open issues (now)
- gpt-researcher
- 76
- autogen
- 1.1k
Stars delta
- gpt-researcher
- +460 (30d)
- autogen
- +897 (30d)
Open issues delta
- gpt-researcher
- -116 (30d)
- autogen
- +105 (30d)
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: AutoGen requires Python 3.10 or later.; Installation of AutoGen Studio is optional for no-code GUI interaction.; Ensure trusted MCP servers are used to avoid security risks..
- 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, agentic-agi, agents, autogen.
- Also covers LLM Frameworks.
- When you need a structured approach to create and manage AI agents with Python.
When NOT to use autogen
- If your project requires a version of Python earlier than 3.10, as AutoGen is not compatible.
- When you need a framework that does not rely on potentially untrusted MCP servers for execution.
- If your project does not require or benefit from the no-code GUI provided by AutoGen Studio.
- When you prefer a framework that does not involve the complexity of setting up and managing multiple MCP servers.
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 Sep 20, 2026
- GitHub forks (assafelovic/gpt-researcher) · observed Sep 20, 2026
- Last push (assafelovic/gpt-researcher) · observed Aug 27, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (microsoft/autogen) · observed Sep 20, 2026
- GitHub forks (microsoft/autogen) · observed Sep 20, 2026
- Last push (microsoft/autogen) · observed Apr 15, 2026
- License file (CC-BY-4.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: gpt-researcher 29k · autogen 61k (synced Sep 20, 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: AutoGen requires Python 3.10 or later.; Installation of AutoGen Studio is optional for no-code GUI interaction.; Ensure trusted MCP servers are used to avoid security risks.; 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, agentic-agi, agents, autogen; Also covers LLM Frameworks; When you need a structured approach to create and manage AI agents with Python.
- 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 your project requires a version of Python earlier than 3.10, as AutoGen is not compatible. When you need a framework that does not rely on potentially untrusted MCP servers for execution. If your project does not require or benefit from the no-code GUI provided by AutoGen Studio. When you prefer a framework that does not involve the complexity of setting up and managing multiple MCP servers.
- Is gpt-researcher or autogen more popular on GitHub?
- autogen has more GitHub stars (61,036 vs 29,343). 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.