Home/Compare/llm-attacks vs autogen

Comparison

llm-attacks vs autogen

Verdict

Pick llm-attacks when license: llm-attacks is MIT, autogen is CC-BY-4.0; pick autogen when license: autogen is CC-BY-4.0, llm-attacks is MIT.

Markdown twin · llm-attacks alternatives · autogen alternatives

GraphCanon updated today

llm-attacks logo

llm-attacks

llm-attacks/llm-attacks

4.7kpushed Aug 2, 2024
vs
autogen logo

autogen

microsoft/autogen

60kpushed Apr 15, 2026

Trust & integrity

Signalllm-attacksautogen
Maintenance
Dormant (708d since push)
As of today · github_public_v1
Steady (87d 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)
58 low (58 low)
As of today · osv@v1
No lockfile
As of today · none

Tagline

llm-attacks
Universal and Transferable Attacks on Aligned Language Models
autogen
A programming framework for agentic AI

Stars

llm-attacks
4.7k
autogen
60k

Forks

llm-attacks
631
autogen
9.0k

Open issues

llm-attacks
70
autogen
945

Language

llm-attacks
Python
autogen
Python

Adopt for

llm-attacks
-
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

llm-attacks
-
autogen
-

Runtime

llm-attacks
-
autogen
-

License

llm-attacks
MIT
autogen
CC-BY-4.0

Last pushed

llm-attacks
Aug 2, 2024
autogen
Apr 15, 2026

Categories

llm-attacks
LLM Frameworks
autogen
LLM Frameworks, AI Agents

Trust and health

Maintenance

llm-attacks
Dormant (18%)
autogen
Steady (60%)

Days since push

llm-attacks
708d
autogen
87d

Open issues (now)

llm-attacks
70
autogen
945

Security scan

llm-attacks
58 low (58 low)
autogen
No lockfile

Full report

llm-attacks
Trust report

Shared compatibility

  • Python · llm-attacks: Python runtime · autogen: Python runtime

Choose llm-attacks if…

  • License: llm-attacks is MIT, autogen is CC-BY-4.0.
  • Tags unique to llm-attacks: python.
  • Leaner open-issue backlog (70).

When NOT to use llm-attacks

  • Last GitHub push was 709 days ago (dormant maintenance, Aug 2, 2024). Validate activity before betting a new project on llm-attacks.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

Choose autogen if…

  • License: autogen is CC-BY-4.0, llm-attacks is MIT.
  • 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, ai.
  • 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.

Explore

Sources

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

GitHub stars on cards: llm-attacks 4.7k · autogen 60k (synced Jul 11, 2026).

Common questions

What is the difference between llm-attacks and autogen?
llm-attacks: Universal and Transferable Attacks on Aligned Language Models. autogen: A programming framework for agentic AI. See the comparison table for live GitHub stats and shared categories.
When should I choose llm-attacks over autogen?
Choose llm-attacks over autogen when License: llm-attacks is MIT, autogen is CC-BY-4.0; Tags unique to llm-attacks: python; Leaner open-issue backlog (70).
When should I choose autogen over llm-attacks?
Choose autogen over llm-attacks when License: autogen is CC-BY-4.0, llm-attacks is MIT; 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, ai; Also covers AI Agents; You need a framework that supports integration with multiple AI models via OpenAI's chat completion client.
When should I avoid llm-attacks?
Last GitHub push was 709 days ago (dormant maintenance, Aug 2, 2024). Validate activity before betting a new project on llm-attacks. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
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 llm-attacks or autogen more popular on GitHub?
autogen has more GitHub stars (59,658 vs 4,735). Stars measure visibility, not whether either tool fits your constraints.
Are llm-attacks and autogen open source?
Yes - both are open-source projects on GitHub (llm-attacks: MIT, autogen: CC-BY-4.0).
Where can I find alternatives to llm-attacks or autogen?
GraphCanon lists graph-backed alternatives at llm-attacks alternatives and autogen alternatives (llm-attacks 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, llm-attacks or autogen?
llm-attacks: Dormant. autogen: Steady. 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 llm-attacks and autogen?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: llm-attacks trust report; autogen trust report.