--- title: "Prompt-Engineering-Guide vs OpenDAN-Personal-AI-OS" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dair-ai-prompt-engineering-guide-vs-fiatrete-opendan-personal-ai-os" tools: ["dair-ai-prompt-engineering-guide", "fiatrete-opendan-personal-ai-os"] --- # Prompt-Engineering-Guide vs OpenDAN-Personal-AI-OS *GraphCanon updated Jul 11, 2026* ## Verdict Pick Prompt-Engineering-Guide when prompt-Engineering-Guide is primarily MDX; OpenDAN-Personal-AI-OS is Python; pick OpenDAN-Personal-AI-OS when openDAN-Personal-AI-OS is primarily Python; Prompt-Engineering-Guide is MDX. [Prompt-Engineering-Guide](https://www.promptingguide.ai/) reports 76k GitHub stars, 8.4k forks, and 274 open issues, last pushed Mar 11, 2026. [OpenDAN-Personal-AI-OS](https://opendan.ai) has 2.0k stars, 219 forks, and 31 open issues, last pushed Mar 28, 2026. Figures are from public GitHub metadata via [Prompt-Engineering-Guide's repository](https://github.com/dair-ai/Prompt-Engineering-Guide) and [OpenDAN-Personal-AI-OS's repository](https://github.com/fiatrete/OpenDAN-Personal-AI-OS). | | [Prompt-Engineering-Guide](/tools/dair-ai-prompt-engineering-guide.md) | [OpenDAN-Personal-AI-OS](/tools/fiatrete-opendan-personal-ai-os.md) | | --- | --- | --- | | Tagline | Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents | OpenDAN is an open source Personal AI OS , which consolidates various AI modules in one place for your personal use. | | Stars | 76,349 | 2,045 | | Forks | 8,361 | 219 | | Open issues | 274 | 31 | | Language | MDX | Python | | Adopt for | Decision-critical facts for Prompt-Engineering-Guide | - | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents, LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Prompt-Engineering-Guide](/tools/dair-ai-prompt-engineering-guide.md) | [OpenDAN-Personal-AI-OS](/tools/fiatrete-opendan-personal-ai-os.md) | | --- | --- | --- | | Days since push | 121d | 104d | | Open issues (now) | 274 | 31 | | Owner type | Organization | User | | Security scan | No criticals | No lockfile | | Full report | [trust report](/tools/dair-ai-prompt-engineering-guide/trust.md) | [trust report](/tools/fiatrete-opendan-personal-ai-os/trust.md) | ## Decision facts: Prompt-Engineering-Guide - **Adopt for:** Decision-critical facts for Prompt-Engineering-Guide ## Choose when ### Choose Prompt-Engineering-Guide if… - Prompt-Engineering-Guide is primarily MDX; OpenDAN-Personal-AI-OS is Python. - Tags unique to Prompt-Engineering-Guide: agents, ai-agents, chatgpt, deep-learning. - When you seek comprehensive documentation and educational materials specifically focused on the nuance of prompt engineering techniques. ### Choose OpenDAN-Personal-AI-OS if… - OpenDAN-Personal-AI-OS is primarily Python; Prompt-Engineering-Guide is MDX. - Tags unique to OpenDAN-Personal-AI-OS: ai, autogpt, llm, openai. - More recently updated (last pushed Mar 28, 2026). ## When NOT to use Prompt-Engineering-Guide - Avoid using if your focus is entirely on deep-learning frameworks without a need for detailed instructions or examples related to prompt crafting. - Not suitable when you require tools that go beyond guiding materials, such as custom prompts or direct software plugins provided by competitors focused more on practical implementation over learning. ## When NOT to use OpenDAN-Personal-AI-OS - Last GitHub push was 105 days ago (slowing maintenance, Mar 28, 2026). Validate activity before betting a new project on OpenDAN-Personal-AI-OS. - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## Common questions ### What is the difference between Prompt-Engineering-Guide and OpenDAN-Personal-AI-OS? Prompt-Engineering-Guide: Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents. OpenDAN-Personal-AI-OS: OpenDAN is an open source Personal AI OS , which consolidates various AI modules in one place for your personal use.. See the comparison table for live GitHub stats and shared categories. ### When should I choose Prompt-Engineering-Guide over OpenDAN-Personal-AI-OS? Choose Prompt-Engineering-Guide over OpenDAN-Personal-AI-OS when Prompt-Engineering-Guide is primarily MDX; OpenDAN-Personal-AI-OS is Python; Tags unique to Prompt-Engineering-Guide: agents, ai-agents, chatgpt, deep-learning; When you seek comprehensive documentation and educational materials specifically focused on the nuance of prompt engineering techniques. ### When should I choose OpenDAN-Personal-AI-OS over Prompt-Engineering-Guide? Choose OpenDAN-Personal-AI-OS over Prompt-Engineering-Guide when OpenDAN-Personal-AI-OS is primarily Python; Prompt-Engineering-Guide is MDX; Tags unique to OpenDAN-Personal-AI-OS: ai, autogpt, llm, openai; More recently updated (last pushed Mar 28, 2026). ### When should I avoid Prompt-Engineering-Guide? Avoid using if your focus is entirely on deep-learning frameworks without a need for detailed instructions or examples related to prompt crafting. Not suitable when you require tools that go beyond guiding materials, such as custom prompts or direct software plugins provided by competitors focused more on practical implementation over learning. ### When should I avoid OpenDAN-Personal-AI-OS? Last GitHub push was 105 days ago (slowing maintenance, Mar 28, 2026). Validate activity before betting a new project on OpenDAN-Personal-AI-OS. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is Prompt-Engineering-Guide or OpenDAN-Personal-AI-OS more popular on GitHub? Prompt-Engineering-Guide has more GitHub stars (76,349 vs 2,045). Stars measure visibility, not whether either tool fits your constraints. ### Are Prompt-Engineering-Guide and OpenDAN-Personal-AI-OS open source? Yes - both are open-source projects on GitHub (Prompt-Engineering-Guide: MIT, OpenDAN-Personal-AI-OS: MIT). ### Where can I find alternatives to Prompt-Engineering-Guide or OpenDAN-Personal-AI-OS? GraphCanon lists graph-backed alternatives at [Prompt-Engineering-Guide alternatives](/tools/dair-ai-prompt-engineering-guide/alternatives) and [OpenDAN-Personal-AI-OS alternatives](/tools/fiatrete-opendan-personal-ai-os/alternatives) ([Prompt-Engineering-Guide markdown twin](/tools/dair-ai-prompt-engineering-guide/alternatives.md), [OpenDAN-Personal-AI-OS markdown twin](/tools/fiatrete-opendan-personal-ai-os/alternatives.md)), 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](/compare/dair-ai-prompt-engineering-guide-vs-fiatrete-opendan-personal-ai-os.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Prompt-Engineering-Guide or OpenDAN-Personal-AI-OS? Prompt-Engineering-Guide: Slowing. OpenDAN-Personal-AI-OS: 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 Prompt-Engineering-Guide and OpenDAN-Personal-AI-OS? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Prompt-Engineering-Guide trust report](/tools/dair-ai-prompt-engineering-guide/trust); [OpenDAN-Personal-AI-OS trust report](/tools/fiatrete-opendan-personal-ai-os/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dair-ai-prompt-engineering-guide`](/api/graphcanon/graph?tool=dair-ai-prompt-engineering-guide) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_