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 requirements: The repository does not specify system requirements.; Details about compatible AI models, frameworks, and the expected environment setup remain unspecified in the provided.
Markdown twin · autogen alternatives · prompt-patterns alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | autogen | prompt-patterns |
|---|---|---|
| Maintenance | Slowing (107d since push) As of 3w · github_public_v1 | Dormant (1224d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Personal account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) 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
- 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
- 9.1k
- prompt-patterns
- 198
Open issues
- autogen
- 970
- 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
- Evaluation & Observability, LLM Frameworks
Trust and health
Maintenance
- autogen
- Slowing (36%)
- prompt-patterns
- Dormant (18%)
Days since push
- autogen
- 107d
- prompt-patterns
- 1224d
Open issues (now)
- autogen
- 970
- 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: agentic-agi, agents, ai, autogen.
- 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 prompt-patterns if…
- Requirements: The repository does not specify system requirements.; Details about compatible AI models, frameworks, and the expected environment setup remain unspecified in the provided information..
- Tags unique to prompt-patterns: github-copilot, prompt-engineering, stable-diffusion.
- Also covers Evaluation & Observability.
- Use prompt-patterns for designing structured prompts to guide AI thinking in specific frameworks when working on projects that require maintaining a clear cognitive structure.
When NOT to use prompt-patterns
- Avoid prompt-patterns for real-time applications or situations requiring dynamic, contextually adaptive prompts, as it might lack flexibility compared to more generalized frameworks.
- Do not use if your project's requirements revolve around innovative and unstructured AI interactions; this tool is best for structured environments.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (microsoft/autogen) · observed Aug 1, 2026
- GitHub forks (microsoft/autogen) · observed Aug 1, 2026
- Last push (microsoft/autogen) · observed Apr 15, 2026
- License file (CC-BY-4.0) · observed Aug 1, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (phodal/prompt-patterns) · observed Jul 28, 2026
- GitHub forks (phodal/prompt-patterns) · observed Jul 28, 2026
- Last push (phodal/prompt-patterns) · observed Mar 22, 2023
- License file (unknown) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: autogen 60k · prompt-patterns 3.1k (synced Aug 1, 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: agentic-agi, agents, ai, autogen; 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 Requirements: The repository does not specify system requirements.; Details about compatible AI models, frameworks, and the expected environment setup remain unspecified in the provided information.; Tags unique to prompt-patterns: github-copilot, prompt-engineering, stable-diffusion; Also covers Evaluation & Observability; Use prompt-patterns for designing structured prompts to guide AI thinking in specific frameworks when working on projects that require maintaining a clear cognitive structure.
- 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?
- Avoid prompt-patterns for real-time applications or situations requiring dynamic, contextually adaptive prompts, as it might lack flexibility compared to more generalized frameworks. Do not use if your project's requirements revolve around innovative and unstructured AI interactions; this tool is best for structured environments.
- Is autogen or prompt-patterns more popular on GitHub?
- autogen has more GitHub stars (60,139 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: Slowing. 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.