Comparison
autogen vs prompt-patterns
Verdict
Pick autogen when requirements: AutoGen requires Python 3.10 or later.; Installation of AutoGen Studio is optional for no-code GUI interaction.; Ensure trusted MCP servers are used to avoid security risks.; 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 information..
Markdown twin · autogen alternatives · prompt-patterns alternatives
GraphCanon updated Sep 20, 2026
11views this month
vs
Trust & integrity
| Signal | autogen | prompt-patterns |
|---|---|---|
| Maintenance | Slowing (155d since push) As of Sep 18, 2026 · github_public_v1 | Dormant (1278d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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
- 61k
- prompt-patterns
- 3.1k
Forks
- autogen
- 9.2k
- prompt-patterns
- 198
Open issues
- autogen
- 1.1k
- prompt-patterns
- 0
Language
- autogen
- Python
- prompt-patterns
- -
Adopt for
- autogen
- AutoGen is a Python-based framework for developing agentic AI systems, offering tools for integrating with external models and services, and a no-code GUI for easier interaction.
- 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
- 155d
- prompt-patterns
- 1278d
Open issues (now)
- autogen
- 1.1k
- prompt-patterns
- 0
Stars delta
- autogen
- +897 (30d)
- prompt-patterns
- -4 (30d)
Open issues delta
- autogen
- +105 (30d)
- prompt-patterns
- 0 (30d)
Owner type
- autogen
- Organization
- prompt-patterns
- User
Full report
- autogen
- Trust report
- prompt-patterns
- Trust report
Choose autogen if…
- Requirements: AutoGen requires Python 3.10 or later.; Installation of AutoGen Studio is optional for no-code GUI interaction.; Ensure trusted MCP servers are used to avoid security risks..
- Tags unique to autogen: agentic, agentic-agi, agents, ai.
- Also covers AI Agents.
- When you need a structured approach to create and manage AI agents with Python.
When NOT to use autogen
- If your project requires a version of Python earlier than 3.10, as AutoGen is not compatible.
- When you need a framework that does not rely on potentially untrusted MCP servers for execution.
- If your project does not require or benefit from the no-code GUI provided by AutoGen Studio.
- When you prefer a framework that does not involve the complexity of setting up and managing multiple MCP servers.
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 Sep 20, 2026
- GitHub forks (microsoft/autogen) · observed Sep 20, 2026
- Last push (microsoft/autogen) · observed Apr 15, 2026
- License file (CC-BY-4.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (phodal/prompt-patterns) · observed Sep 20, 2026
- GitHub forks (phodal/prompt-patterns) · observed Sep 20, 2026
- Last push (phodal/prompt-patterns) · observed Mar 22, 2023
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: autogen 61k · prompt-patterns 3.1k (synced Sep 20, 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: AutoGen requires Python 3.10 or later.; Installation of AutoGen Studio is optional for no-code GUI interaction.; Ensure trusted MCP servers are used to avoid security risks.; Tags unique to autogen: agentic, agentic-agi, agents, ai; Also covers AI Agents; When you need a structured approach to create and manage AI agents with Python.
- 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 your project requires a version of Python earlier than 3.10, as AutoGen is not compatible. When you need a framework that does not rely on potentially untrusted MCP servers for execution. If your project does not require or benefit from the no-code GUI provided by AutoGen Studio. When you prefer a framework that does not involve the complexity of setting up and managing multiple MCP servers.
- 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 (61,036 vs 3,091). 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.