Comparison
wonderful-prompts vs autogen
Verdict
Pick wonderful-prompts when license: wonderful-prompts is MIT, autogen is CC-BY-4.0; pick autogen when license: autogen is CC-BY-4.0, wonderful-prompts is MIT.
Markdown twin · wonderful-prompts alternatives · autogen alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | wonderful-prompts | autogen |
|---|---|---|
| Maintenance | Slowing (262d 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) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- wonderful-prompts
- 🔥中文 prompt 精选🔥，ChatGPT 使用指南，提升 ChatGPT 可玩性和可用性！🚀
- autogen
- A programming framework for agentic AI
Stars
- wonderful-prompts
- 6.2k
- autogen
- 60k
Forks
- wonderful-prompts
- 530
- autogen
- 9.0k
Open issues
- wonderful-prompts
- 1
- autogen
- 945
Language
- wonderful-prompts
- -
- autogen
- Python
Adopt for
- wonderful-prompts
- -
- 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
- wonderful-prompts
- -
- autogen
- -
Runtime
- wonderful-prompts
- -
- autogen
- -
License
- wonderful-prompts
- MIT
- autogen
- CC-BY-4.0
Last pushed
- wonderful-prompts
- Oct 22, 2025
- autogen
- Apr 15, 2026
Categories
- wonderful-prompts
- LLM Frameworks
- autogen
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- wonderful-prompts
- Slowing (36%)
- autogen
- Steady (60%)
Days since push
- wonderful-prompts
- 262d
- autogen
- 87d
Open issues (now)
- wonderful-prompts
- 1
- autogen
- 945
Full report
- wonderful-prompts
- Trust report
- autogen
- Trust report
Choose wonderful-prompts if…
- License: wonderful-prompts is MIT, autogen is CC-BY-4.0.
- Tags unique to wonderful-prompts: gpt4, gpt35, openai, prompt-engineering.
- Leaner open-issue backlog (1).
When NOT to use wonderful-prompts
- Last GitHub push was 262 days ago (slowing maintenance, Oct 22, 2025). Validate activity before betting a new project on wonderful-prompts.
- 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, wonderful-prompts 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 (langgptai/wonderful-prompts) · observed Jul 11, 2026
- GitHub forks (langgptai/wonderful-prompts) · observed Jul 11, 2026
- Last push (langgptai/wonderful-prompts) · observed Oct 22, 2025
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (microsoft/autogen) · observed Jul 11, 2026
- GitHub forks (microsoft/autogen) · observed Jul 11, 2026
- Last push (microsoft/autogen) · observed Apr 15, 2026
- License file (CC-BY-4.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: wonderful-prompts 6.2k · autogen 60k (synced Jul 11, 2026).
Common questions
- What is the difference between wonderful-prompts and autogen?
- wonderful-prompts: 🔥中文 prompt 精选🔥，ChatGPT 使用指南，提升 ChatGPT 可玩性和可用性！🚀. autogen: A programming framework for agentic AI. See the comparison table for live GitHub stats and shared categories.
- When should I choose wonderful-prompts over autogen?
- Choose wonderful-prompts over autogen when License: wonderful-prompts is MIT, autogen is CC-BY-4.0; Tags unique to wonderful-prompts: gpt4, gpt35, openai, prompt-engineering; Leaner open-issue backlog (1).
- When should I choose autogen over wonderful-prompts?
- Choose autogen over wonderful-prompts when License: autogen is CC-BY-4.0, wonderful-prompts 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 wonderful-prompts?
- Last GitHub push was 262 days ago (slowing maintenance, Oct 22, 2025). Validate activity before betting a new project on wonderful-prompts. 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 wonderful-prompts or autogen more popular on GitHub?
- autogen has more GitHub stars (59,658 vs 6,157). Stars measure visibility, not whether either tool fits your constraints.
- Are wonderful-prompts and autogen open source?
- Yes - both are open-source projects on GitHub (wonderful-prompts: MIT, autogen: CC-BY-4.0).
- Where can I find alternatives to wonderful-prompts or autogen?
- GraphCanon lists graph-backed alternatives at wonderful-prompts alternatives and autogen alternatives (wonderful-prompts 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, wonderful-prompts or autogen?
- wonderful-prompts: Slowing. 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 wonderful-prompts and autogen?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: wonderful-prompts trust report; autogen trust report.