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Comparison

autogen vs prompt-patterns

Verdict

Pick autogen when 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.; pick prompt-patterns when tags unique to prompt-patterns: github-copilot, stable-diffusion, prompt-engineering.

Markdown twin · autogen alternatives · prompt-patterns alternatives

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autogen logo

autogen

microsoft/autogen

★ 60kpushed Apr 15, 2026
vs
prompt-patterns logo

prompt-patterns

phodal/prompt-patterns

★ 3.1kpushed Mar 22, 2023

Trust & integrity

Signalautogenprompt-patterns
Maintenance
Steady (87d since push)
As of today · github_public_v1
Dormant (1207d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Personal account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No lockfile
As of today · none
autogen trust reportprompt-patterns trust reportTrust methodology

Tagline

autogen
A programming framework for agentic AI
prompt-patterns
Prompt 编写模式：如何将思维框架赋予机器，以设计模式的形式来思考 prompt

Stars

autogen
60k
prompt-patterns
3.1k

Forks

autogen
9.0k
prompt-patterns
198

Open issues

autogen
945
prompt-patterns
0

Language

autogen
Python
prompt-patterns
-

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.
prompt-patterns
-

Persona

autogen
-
prompt-patterns
-

Runtime

autogen
-
prompt-patterns
-

License

autogen
CC-BY-4.0
prompt-patterns
-

Last pushed

autogen
Apr 15, 2026
prompt-patterns
Mar 22, 2023

Categories

autogen
AI Agents, LLM Frameworks
prompt-patterns
LLM Frameworks, Computer Vision

Trust and health

Maintenance

autogen
Steady (60%)
prompt-patterns
Dormant (18%)

Days since push

autogen
87d
prompt-patterns
1207d

Open issues (now)

autogen
945
prompt-patterns
0

Owner type

autogen
Organization
prompt-patterns
User

Full report

autogen
Trust report
prompt-patterns
Trust report

Choose autogen if…

  • 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.
GitHubDetails

Choose prompt-patterns if…

  • Tags unique to prompt-patterns: github-copilot, stable-diffusion, prompt-engineering.
  • Also covers Computer Vision.
  • Leaner open-issue backlog (0).

When NOT to use prompt-patterns

  • Last GitHub push was 1208 days ago (dormant maintenance, Mar 22, 2023). Validate activity before betting a new project on prompt-patterns.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
GitHubDetails

Explore

autogen trust report →prompt-patterns trust report →AI Agents category →LLM Frameworks category →Computer Vision 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 · prompt-patterns 3.1k (synced Jul 11, 2026).

Common questions

What is the difference between autogen and prompt-patterns?
autogen: A programming framework for agentic AI. prompt-patterns: Prompt 编写模式：如何将思维框架赋予机器，以设计模式的形式来思考 prompt. See the comparison table for live GitHub stats and shared categories.
When should I choose autogen over prompt-patterns?
Choose autogen over prompt-patterns when 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 choose prompt-patterns over autogen?
Choose prompt-patterns over autogen when Tags unique to prompt-patterns: github-copilot, stable-diffusion, prompt-engineering; Also covers Computer Vision; Leaner open-issue backlog (0).
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 prompt-patterns?
Last GitHub push was 1208 days ago (dormant maintenance, Mar 22, 2023). Validate activity before betting a new project on prompt-patterns. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Is autogen or prompt-patterns more popular on GitHub?
autogen has more GitHub stars (59,658 vs 3,095). Stars measure visibility, not whether either tool fits your constraints.
Are autogen and prompt-patterns open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to autogen or prompt-patterns?
GraphCanon lists graph-backed alternatives at autogen alternatives and prompt-patterns alternatives (autogen markdown twin, prompt-patterns 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 prompt-patterns?
autogen: Steady. prompt-patterns: 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 prompt-patterns?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: autogen trust report; prompt-patterns trust report.