Comparison
autogen vs SuperAGI
Verdict
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; pick SuperAGI if superAGI offers a robust framework for developers aiming to build autonomous AI agents in a streamlined manner. Here are key decision points based on the provided repository data.
Markdown twin · autogen alternatives · SuperAGI alternatives
GraphCanon updated Sep 20, 2026
22views this month
vs
Trust & integrity
| Signal | autogen | SuperAGI |
|---|---|---|
| Maintenance | Slowing (155d since push) As of Sep 18, 2026 · github_public_v1 | Dormant (605d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | Published findings As of Jul 11, 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
- autogen
- A programming framework for agentic AI
- SuperAGI
- A dev-first open source autonomous AI agent framework
Stars
- autogen
- 61k
- SuperAGI
- 18k
Forks
- autogen
- 9.2k
- SuperAGI
- 2.2k
Open issues
- autogen
- 1.1k
- SuperAGI
- 263
Language
- autogen
- Python
- SuperAGI
- Python
Adopt for
- 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.
- SuperAGI
- SuperAGI offers a robust framework for developers aiming to build autonomous AI agents in a streamlined manner. Here are key decision points based on the provided repository data.
Persona
- autogen
- -
- SuperAGI
- -
Runtime
- autogen
- -
- SuperAGI
- -
License
- autogen
- CC-BY-4.0
- SuperAGI
- MIT
Last pushed
- autogen
- Apr 15, 2026
- SuperAGI
- Jan 22, 2025
Categories
- autogen
- AI Agents, LLM Frameworks
- SuperAGI
- AI Agents
Trust and health
Maintenance
- autogen
- Slowing (36%)
- SuperAGI
- Dormant (18%)
Days since push
- autogen
- 155d
- SuperAGI
- 605d
Open issues (now)
- autogen
- 1.1k
- SuperAGI
- 263
Stars delta
- autogen
- +897 (30d)
- SuperAGI
- +33 (30d)
Open issues delta
- autogen
- +105 (30d)
- SuperAGI
- -5 (30d)
OSV dependency advisories
- autogen
- No lockfile (source not queried)
- SuperAGI
- Published findings
Full report
- autogen
- Trust report
- SuperAGI
- Trust report
Typed relationship
autogen successor SuperAGISuperAGI has a 'successor' relationship to autogen because while both frameworks support the development of autonomous AI agents, SuperAGI offers an updated approach with enhanced integration capabilities for modern tools like LLMs and Pinecone, whereas autogen is in maintenance mode.
Choose autogen if…
- License: autogen is CC-BY-4.0, SuperAGI is MIT.
- 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..
- SuperAGI has a 'successor' relationship to autogen because while both frameworks support the development of autonomous AI agents, SuperAGI offers an updated approach with enhanced integration capabilities for modern tools like LLMs and Pinecone, whereas autogen is in maintenance mode.
- Tags unique to autogen: agentic, agentic-agi, autogen, autogen-ecosystem.
- 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.
Choose SuperAGI if…
- License: SuperAGI is MIT, autogen is CC-BY-4.0.
- Pricing: SuperAGI is open-source under MIT license, making it free to use for both personal and commercial projects. However, depending on your setup, you might need to pay for API keys or cloud services from .
- Requirements: Min 4 GB RAM; Requires Docker; Local deployment requires Docker installation; Cloud deployment and access through SuperAGI Cloud require a GitHub login..
- SuperAGI has a 'successor' relationship to autogen because while both frameworks support the development of autonomous AI agents, SuperAGI offers an updated approach with enhanced integration capabilities for modern tools like LLMs and Pinecone, whereas autogen is in maintenance mode.
- Tags unique to SuperAGI: agi, artificial-general-intelligence, autonomous-agents, gpt-4.
- SuperAGI ships Docker support for self-hosted deployment.
- When you need an open-source, flexible environment that supports the development of autonomous agents with a focus on developer-first practices and ease of implementation.
When NOT to use SuperAGI
- If your project requires a tightly integrated solution without dependencies on third-party APIs or cloud-based services, as SuperAGI requires API keys from providers for full functionality.
- In scenarios where the technical setup through Docker or cloud deployment may introduce unnecessary complexity or overhead that outweighs the benefits of utilizing an autonomous agent framework.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (TransformerOptimus/SuperAGI) · observed Sep 20, 2026
- GitHub forks (TransformerOptimus/SuperAGI) · observed Sep 20, 2026
- Last push (TransformerOptimus/SuperAGI) · observed Jan 22, 2025
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: autogen 61k · SuperAGI 18k (synced Sep 20, 2026).
Common questions
- What is the difference between autogen and SuperAGI?
- autogen: A programming framework for agentic AI. SuperAGI: A dev-first open source autonomous AI agent framework. See the comparison table for live GitHub stats and shared categories.
- When should I choose autogen over SuperAGI?
- Choose autogen over SuperAGI when License: autogen is CC-BY-4.0, SuperAGI is MIT; 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.; SuperAGI has a 'successor' relationship to autogen because while both frameworks support the development of autonomous AI agents, SuperAGI offers an updated approach with enhanced integration capabilities for modern tools like LLMs and Pinecone, whereas autogen is in maintenance mode; Tags unique to autogen: agentic, agentic-agi, autogen, autogen-ecosystem; Also covers LLM Frameworks; When you need a structured approach to create and manage AI agents with Python.
- When should I choose SuperAGI over autogen?
- Choose SuperAGI over autogen when License: SuperAGI is MIT, autogen is CC-BY-4.0; Pricing: SuperAGI is open-source under MIT license, making it free to use for both personal and commercial projects. However, depending on your setup, you might need to pay for API keys or cloud services from ; Requirements: Min 4 GB RAM; Requires Docker; Local deployment requires Docker installation; Cloud deployment and access through SuperAGI Cloud require a GitHub login.; SuperAGI has a 'successor' relationship to autogen because while both frameworks support the development of autonomous AI agents, SuperAGI offers an updated approach with enhanced integration capabilities for modern tools like LLMs and Pinecone, whereas autogen is in maintenance mode; Tags unique to SuperAGI: agi, artificial-general-intelligence, autonomous-agents, gpt-4; SuperAGI ships Docker support for self-hosted deployment; When you need an open-source, flexible environment that supports the development of autonomous agents with a focus on developer-first practices and ease of implementation.
- 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.
- When should I avoid SuperAGI?
- If your project requires a tightly integrated solution without dependencies on third-party APIs or cloud-based services, as SuperAGI requires API keys from providers for full functionality. In scenarios where the technical setup through Docker or cloud deployment may introduce unnecessary complexity or overhead that outweighs the benefits of utilizing an autonomous agent framework.
- Is autogen or SuperAGI more popular on GitHub?
- autogen has more GitHub stars (61,036 vs 17,685). Stars measure visibility, not whether either tool fits your constraints.
- Are autogen and SuperAGI open source?
- Yes - both are open-source projects on GitHub (autogen: CC-BY-4.0, SuperAGI: MIT).
- Where can I find alternatives to autogen or SuperAGI?
- GraphCanon lists graph-backed alternatives at autogen alternatives and SuperAGI alternatives (autogen markdown twin, SuperAGI 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, autogen or SuperAGI?
- autogen: Slowing. SuperAGI: Dormant. 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 autogen and SuperAGI?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: autogen trust report; SuperAGI trust report.