Home/Compare/autogen vs ps-fuzz

Comparison

autogen vs ps-fuzz

Verdict

Pick autogen when license: autogen is CC-BY-4.0, ps-fuzz is MIT; pick ps-fuzz when license: ps-fuzz is MIT, autogen is CC-BY-4.0.

Markdown twin · autogen alternatives · ps-fuzz alternatives

GraphCanon updated today

autogen logo

autogen

microsoft/autogen

60kpushed Apr 15, 2026
vs
ps-fuzz logo

ps-fuzz

prompt-security/ps-fuzz

693pushed Feb 16, 2026

Trust & integrity

Signalautogenps-fuzz
Maintenance
Steady (87d since push)
As of today · github_public_v1
Slowing (145d 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 1d · none
No lockfile
As of today · none

Tagline

autogen
A programming framework for agentic AI
ps-fuzz
Make your GenAI Apps Safe & Secure :rocket: Test & harden your system prompt

Stars

autogen
60k
ps-fuzz
693

Forks

autogen
9.0k
ps-fuzz
100

Open issues

autogen
945
ps-fuzz
20

Language

autogen
Python
ps-fuzz
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.
ps-fuzz
-

Persona

autogen
-
ps-fuzz
-

Runtime

autogen
-
ps-fuzz
-

License

autogen
CC-BY-4.0
ps-fuzz
MIT

Last pushed

autogen
Apr 15, 2026
ps-fuzz
Feb 16, 2026

Categories

autogen
AI Agents, LLM Frameworks
ps-fuzz
LLM Frameworks

Trust and health

Maintenance

autogen
Steady (60%)
ps-fuzz
Slowing (36%)

Days since push

autogen
87d
ps-fuzz
145d

Open issues (now)

autogen
945
ps-fuzz
20

Full report

Shared compatibility

  • Python · autogen: Python runtime · ps-fuzz: Python runtime

Choose autogen if…

  • License: autogen is CC-BY-4.0, ps-fuzz 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: agentic-agi, agents, autogen, autogen-ecosystem.
  • 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.

Choose ps-fuzz if…

  • License: ps-fuzz is MIT, autogen is CC-BY-4.0.
  • Tags unique to ps-fuzz: ai-fuzzer, fuzzer, generative-ai, llm.
  • Leaner open-issue backlog (20).

When NOT to use ps-fuzz

  • Last GitHub push was 146 days ago (slowing maintenance, Feb 16, 2026). Validate activity before betting a new project on ps-fuzz.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

Explore

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 · ps-fuzz 693 (synced Jul 11, 2026).

Common questions

What is the difference between autogen and ps-fuzz?
autogen: A programming framework for agentic AI. ps-fuzz: Make your GenAI Apps Safe & Secure :rocket: Test & harden your system prompt. See the comparison table for live GitHub stats and shared categories.
When should I choose autogen over ps-fuzz?
Choose autogen over ps-fuzz when License: autogen is CC-BY-4.0, ps-fuzz 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: agentic-agi, agents, autogen, autogen-ecosystem; 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 ps-fuzz over autogen?
Choose ps-fuzz over autogen when License: ps-fuzz is MIT, autogen is CC-BY-4.0; Tags unique to ps-fuzz: ai-fuzzer, fuzzer, generative-ai, llm; Leaner open-issue backlog (20).
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 ps-fuzz?
Last GitHub push was 146 days ago (slowing maintenance, Feb 16, 2026). Validate activity before betting a new project on ps-fuzz. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Is autogen or ps-fuzz more popular on GitHub?
autogen has more GitHub stars (59,658 vs 693). Stars measure visibility, not whether either tool fits your constraints.
Are autogen and ps-fuzz open source?
Yes - both are open-source projects on GitHub (autogen: CC-BY-4.0, ps-fuzz: MIT).
Where can I find alternatives to autogen or ps-fuzz?
GraphCanon lists graph-backed alternatives at autogen alternatives and ps-fuzz alternatives (autogen markdown twin, ps-fuzz 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 ps-fuzz?
autogen: Steady. ps-fuzz: 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 autogen and ps-fuzz?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: autogen trust report; ps-fuzz trust report.