--- title: "Prompt-Engineering-Guide vs screenpipe" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dair-ai-prompt-engineering-guide-vs-screenpipe-screenpipe" tools: ["dair-ai-prompt-engineering-guide", "screenpipe-screenpipe"] --- # Prompt-Engineering-Guide vs screenpipe *GraphCanon updated Jul 11, 2026* ## Verdict Pick Prompt-Engineering-Guide when prompt-Engineering-Guide is primarily MDX; screenpipe is Rust; pick screenpipe when screenpipe is primarily Rust; 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. [screenpipe](https://screenpipe.com) has 20k stars, 1.9k forks, and 133 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [Prompt-Engineering-Guide's repository](https://github.com/dair-ai/Prompt-Engineering-Guide) and [screenpipe's repository](https://github.com/screenpipe/screenpipe). | | [Prompt-Engineering-Guide](/tools/dair-ai-prompt-engineering-guide.md) | [screenpipe](/tools/screenpipe-screenpipe.md) | | --- | --- | --- | | Tagline | Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents | YC (S26) | AI that knows what you've seen, said, or heard. Records everything you do, say, hear 24/7, local, private, secure. Connect to OpenClaw, Hermes agent and 100+ apps | | Stars | 76,349 | 19,760 | | Forks | 8,361 | 1,924 | | Open issues | 274 | 133 | | Language | MDX | Rust | | Adopt for | Decision-critical facts for Prompt-Engineering-Guide | - | | Persona | - | - | | Runtime | - | - | | License | MIT | Other | | Categories | AI Agents, LLM Frameworks | AI Agents, LLM Frameworks, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Prompt-Engineering-Guide](/tools/dair-ai-prompt-engineering-guide.md) | [screenpipe](/tools/screenpipe-screenpipe.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 121d | 0d | | Open issues (now) | 274 | 133 | | Security scan | No criticals | No MCP manifest | | Full report | [trust report](/tools/dair-ai-prompt-engineering-guide/trust.md) | [trust report](/tools/screenpipe-screenpipe/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; screenpipe is Rust. - License: Prompt-Engineering-Guide is MIT, screenpipe is Other. - Tags unique to Prompt-Engineering-Guide: agent, ai-agents, chatgpt, deep-learning. - When you seek comprehensive documentation and educational materials specifically focused on the nuance of prompt engineering techniques. ### Choose screenpipe if… - screenpipe is primarily Rust; Prompt-Engineering-Guide is MDX. - License: screenpipe is Other, Prompt-Engineering-Guide is MIT. - Tags unique to screenpipe: agi, ai, ai-memory, audio-recording. - Also covers Speech & Audio. ## 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 screenpipe - 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 screenpipe? Prompt-Engineering-Guide: Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents. screenpipe: YC (S26) | AI that knows what you've seen, said, or heard. Records everything you do, say, hear 24/7, local, private, secure. Connect to OpenClaw, Hermes agent and 100+ apps. See the comparison table for live GitHub stats and shared categories. ### When should I choose Prompt-Engineering-Guide over screenpipe? Choose Prompt-Engineering-Guide over screenpipe when Prompt-Engineering-Guide is primarily MDX; screenpipe is Rust; License: Prompt-Engineering-Guide is MIT, screenpipe is Other; Tags unique to Prompt-Engineering-Guide: agent, 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 screenpipe over Prompt-Engineering-Guide? Choose screenpipe over Prompt-Engineering-Guide when screenpipe is primarily Rust; Prompt-Engineering-Guide is MDX; License: screenpipe is Other, Prompt-Engineering-Guide is MIT; Tags unique to screenpipe: agi, ai, ai-memory, audio-recording; Also covers Speech & Audio. ### 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 screenpipe? 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 screenpipe more popular on GitHub? Prompt-Engineering-Guide has more GitHub stars (76,349 vs 19,760). Stars measure visibility, not whether either tool fits your constraints. ### Are Prompt-Engineering-Guide and screenpipe open source? Yes - both are open-source projects on GitHub (Prompt-Engineering-Guide: MIT, screenpipe: Other). ### Where can I find alternatives to Prompt-Engineering-Guide or screenpipe? GraphCanon lists graph-backed alternatives at [Prompt-Engineering-Guide alternatives](/tools/dair-ai-prompt-engineering-guide/alternatives) and [screenpipe alternatives](/tools/screenpipe-screenpipe/alternatives) ([Prompt-Engineering-Guide markdown twin](/tools/dair-ai-prompt-engineering-guide/alternatives.md), [screenpipe markdown twin](/tools/screenpipe-screenpipe/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-screenpipe-screenpipe.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 screenpipe? Prompt-Engineering-Guide: Slowing. screenpipe: Very active. 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 screenpipe? 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); [screenpipe trust report](/tools/screenpipe-screenpipe/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/_