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Comparison

autogen vs garak

Verdict

Pick autogen when license: autogen is CC-BY-4.0, garak is Apache-2.0; pick garak when license: garak is Apache-2.0, autogen is CC-BY-4.0.

Markdown twin · autogen alternatives · garak alternatives

GraphCanon updated today

autogen logo

autogen

microsoft/autogen

★ 60kpushed Apr 15, 2026
vs
garak logo

garak

NVIDIA/garak

★ 8.4kpushed Jul 10, 2026

Trust & integrity

Signalautogengarak
Maintenance
Steady (87d since push)
As of today · github_public_v1
Very active (1d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
54 low (54 low)
As of today · osv@v1
autogen trust reportgarak trust reportTrust methodology

Tagline

autogen
A programming framework for agentic AI
garak
the LLM vulnerability scanner

Stars

autogen
60k
garak
8.4k

Forks

autogen
9.0k
garak
1.1k

Open issues

autogen
945
garak
367

Language

autogen
Python
garak
Python

Adopt for

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.
garak
-

Persona

autogen
-
garak
-

Runtime

autogen
-
garak
-

License

autogen
CC-BY-4.0
garak
Apache-2.0

Last pushed

autogen
Apr 15, 2026
garak
Jul 10, 2026

Categories

autogen
AI Agents, LLM Frameworks
garak
Vector Databases, LLM Frameworks, Evaluation & Observability

Trust and health

Maintenance

autogen
Steady (60%)
garak
Very active (96%)

Days since push

autogen
87d
garak
1d

Open issues (now)

autogen
945
garak
367

Security scan

autogen
No lockfile
garak
54 low (54 low)

Full report

autogen
Trust report
garak
Trust report

Shared compatibility

  • Python · autogen: Python runtime · garak: Python runtime

Choose autogen if…

  • License: autogen is CC-BY-4.0, garak 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..
  • Tags unique to autogen: llm-framework, autogen, agents, agentic-agi.
  • Also covers AI Agents.
  • 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.
GitHubDetails

Choose garak if…

  • License: garak is Apache-2.0, autogen is CC-BY-4.0.
  • Tags unique to garak: python, security-scanners, llm-security, vulnerability-assessment.
  • Also covers Vector Databases, Evaluation & Observability.

When NOT to use garak

  • Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
GitHubDetails

Explore

autogen trust report →garak trust report →AI Agents category →LLM Frameworks category →Vector Databases category →Evaluation & Observability category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: autogen 60k · garak 8.4k (synced Jul 11, 2026).

Common questions

What is the difference between autogen and garak?
autogen: A programming framework for agentic AI. garak: the LLM vulnerability scanner. See the comparison table for live GitHub stats and shared categories.
When should I choose autogen over garak?
Choose autogen over garak when License: autogen is CC-BY-4.0, garak 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.; Tags unique to autogen: llm-framework, autogen, agents, agentic-agi; Also covers AI Agents; You need a framework that supports integration with multiple AI models via OpenAI's chat completion client.
When should I choose garak over autogen?
Choose garak over autogen when License: garak is Apache-2.0, autogen is CC-BY-4.0; Tags unique to garak: python, security-scanners, llm-security, vulnerability-assessment; Also covers Vector Databases, Evaluation & Observability.
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.
When should I avoid garak?
Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
Is autogen or garak more popular on GitHub?
autogen has more GitHub stars (59,658 vs 8,400). Stars measure visibility, not whether either tool fits your constraints.
Are autogen and garak open source?
Yes - both are open-source projects on GitHub (autogen: CC-BY-4.0, garak: Apache-2.0).
Where can I find alternatives to autogen or garak?
GraphCanon lists graph-backed alternatives at autogen alternatives and garak alternatives (autogen markdown twin, garak 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 garak?
autogen: Steady. garak: Very active. 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 garak?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: autogen trust report; garak trust report.