Home/Compare/agent-framework vs SuperAGI

Comparison

agent-framework vs SuperAGI

Verdict

Pick agent-framework if the agent-framework provides tools for developers to build and deploy AI agents and multi-agent workflows in Python and .NET environments; 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 · agent-framework alternatives · SuperAGI alternatives

GraphCanon updated 6d

agent-framework logo

agent-framework

microsoft/agent-framework

13kpushed Aug 10, 2026
vs
SuperAGI logo

SuperAGI

TransformerOptimus/SuperAGI

18kpushed Jan 22, 2025

Trust & integrity

Signalagent-frameworkSuperAGI
Maintenance
Very active (0d since push)
As of 1w · github_public_v1
Dormant (568d since push)
As of 6d · github_public_v1
Provenance
Not a fork · Organization account
As of 1w · github_public_v1
Not a fork · Organization account
As of 6d · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
Published findings
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

agent-framework
Framework for building and deploying AI agents and multi-agent workflows
SuperAGI
A dev-first open source autonomous AI agent framework

Stars

agent-framework
13k
SuperAGI
18k

Forks

agent-framework
2.1k
SuperAGI
2.2k

Open issues

agent-framework
685
SuperAGI
268

Language

agent-framework
Python
SuperAGI
Python

Adopt for

agent-framework
The agent-framework provides tools for developers to build and deploy AI agents and multi-agent workflows in Python and .NET environments.
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

agent-framework
-
SuperAGI
-

Runtime

agent-framework
-
SuperAGI
-

License

agent-framework
MIT
SuperAGI
MIT

Last pushed

agent-framework
Aug 10, 2026
SuperAGI
Jan 22, 2025

Categories

agent-framework
AI Agents, Developer Tools
SuperAGI
AI Agents

Trust and health

Maintenance

agent-framework
Very active (96%)
SuperAGI
Dormant (18%)

Days since push

agent-framework
0d
SuperAGI
568d

Open issues (now)

agent-framework
685
SuperAGI
268

Stars delta

agent-framework
Unknown
SuperAGI
+33 (30d)

Open issues delta

agent-framework
Unknown
SuperAGI
-1 (30d)

OSV dependency advisories

agent-framework
No lockfile (source not queried)
SuperAGI
Published findings

Full report

agent-framework
Trust report
SuperAGI
Trust report

Choose agent-framework if…

  • Requirements: Python version 3.6 or newer is required for Python installations.; The .NET Core SDK must be installed for utilizing the .NET packages..
  • Tags unique to agent-framework: agent-framework, agentic-ai, multi-agent, orchestration.
  • Also covers Developer Tools.
  • Choose agent-framework if your project requires support for both Python and .NET, allowing you to develop across different ecosystems.

When NOT to use agent-framework

  • Avoid using the agent-framework if your team does not have proficiency in either Python or.NET, as this may cause difficulties in leveraging its features effectively.
  • Do not opt for agent-framework if you only need lightweight support for AI agents without a comprehensive orchestration and deployment framework.

Choose SuperAGI if…

  • 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..
  • Tags unique to SuperAGI: agi, ai, artificial-general-intelligence, autonomous-agents.
  • 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 on cards: agent-framework 13k · SuperAGI 18k (synced Aug 11, 2026).

Common questions

What is the difference between agent-framework and SuperAGI?
agent-framework: Framework for building and deploying AI agents and multi-agent workflows. 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 agent-framework over SuperAGI?
Choose agent-framework over SuperAGI when Requirements: Python version 3.6 or newer is required for Python installations.; The .NET Core SDK must be installed for utilizing the .NET packages.; Tags unique to agent-framework: agent-framework, agentic-ai, multi-agent, orchestration; Also covers Developer Tools; Choose agent-framework if your project requires support for both Python and .NET, allowing you to develop across different ecosystems.
When should I choose SuperAGI over agent-framework?
Choose SuperAGI over agent-framework when 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.; Tags unique to SuperAGI: agi, ai, artificial-general-intelligence, autonomous-agents; 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 agent-framework?
Avoid using the agent-framework if your team does not have proficiency in either Python or.NET, as this may cause difficulties in leveraging its features effectively. Do not opt for agent-framework if you only need lightweight support for AI agents without a comprehensive orchestration and deployment framework.
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 agent-framework or SuperAGI more popular on GitHub?
SuperAGI has more GitHub stars (17,652 vs 12,718). Stars measure visibility, not whether either tool fits your constraints.
Are agent-framework and SuperAGI open source?
Yes - both are open-source projects on GitHub (agent-framework: MIT, SuperAGI: MIT).
Where can I find alternatives to agent-framework or SuperAGI?
GraphCanon lists graph-backed alternatives at agent-framework alternatives and SuperAGI alternatives (agent-framework 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, agent-framework or SuperAGI?
agent-framework: Very active. 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 agent-framework and SuperAGI?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agent-framework trust report; SuperAGI trust report.

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