--- title: "Prompt-Engineering-Guide vs pmb" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dair-ai-prompt-engineering-guide-vs-oleksiijko-pmb" tools: ["dair-ai-prompt-engineering-guide", "oleksiijko-pmb"] --- # Prompt-Engineering-Guide vs pmb *GraphCanon updated Jul 12, 2026* ## Verdict Pick Prompt-Engineering-Guide if decision-critical facts for Prompt-Engineering-Guide; pick pmb if pmb - Local-first persistent memory for AI coding agents. [Prompt-Engineering-Guide](https://www.promptingguide.ai/) reports 76k GitHub stars, 8.4k forks, and 274 open issues, last pushed Mar 11, 2026. [pmb](https://pypi.org/project/pmb-ai/) has 300 stars, 15 forks, and 5 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 [pmb's repository](https://github.com/oleksiijko/pmb). | | [Prompt-Engineering-Guide](/tools/dair-ai-prompt-engineering-guide.md) | [pmb](/tools/oleksiijko-pmb.md) | | --- | --- | --- | | Tagline | Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents | Local-first persistent memory for AI coding agents with offline and multilingual capabilities. | | Stars | 76,349 | 300 | | Forks | 8,361 | 15 | | Open issues | 274 | 5 | | Language | MDX | Python | | Adopt for | Decision-critical facts for Prompt-Engineering-Guide | pmb - Local-first persistent memory for AI coding agents | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | AI Agents, LLM Frameworks | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Prompt-Engineering-Guide](/tools/dair-ai-prompt-engineering-guide.md) | [pmb](/tools/oleksiijko-pmb.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 121d | 0d | | Open issues (now) | 274 | 5 | | Owner type | Organization | User | | Security scan | No criticals | No MCP manifest | | Full report | [trust report](/tools/dair-ai-prompt-engineering-guide/trust.md) | [trust report](/tools/oleksiijko-pmb/trust.md) | ## Decision facts: Prompt-Engineering-Guide - **Adopt for:** Decision-critical facts for Prompt-Engineering-Guide ## Decision facts: pmb - **Requirements:** No explicit requirements listed in repository data, but likely Python and compatible SQL database setup. - **Adopt for:** pmb - Local-first persistent memory for AI coding agents - **License detail:** Apache-2.0 ## Choose when ### Choose Prompt-Engineering-Guide if… - Prompt-Engineering-Guide is primarily MDX; pmb is Python. - License: Prompt-Engineering-Guide is MIT, pmb is Apache-2.0. - Tags unique to Prompt-Engineering-Guide: llms, deep-learning, agents, generative-ai. - Also covers LLM Frameworks. - When you seek comprehensive documentation and educational materials specifically focused on the nuance of prompt engineering techniques. ### Choose pmb if… - pmb is primarily Python; Prompt-Engineering-Guide is MDX. - License: pmb is Apache-2.0, Prompt-Engineering-Guide is MIT. - Requirements: No explicit requirements listed in repository data, but likely Python and compatible SQL database setup.. - Tags unique to pmb: codex, ai-memory, knowledge-graph, claude-code. - Also covers Data & Retrieval. - - When you need a solution that integrates directly with popular AI coding agents such as Claude Code, Cursor, and Codex. ## 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 pmb - - In scenarios where real-time data retrieval is essential since pmb focuses on local storage rather than cloud-based synchronization. - - If your project requires heavy reliance on online services or if offline functionality doesn't provide a necessary advantage. - - When the specific use case does not benefit from having multilingual capabilities for AI coding tasks. ## Common questions ### What is the difference between Prompt-Engineering-Guide and pmb? Prompt-Engineering-Guide: Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents. pmb: Local-first persistent memory for AI coding agents with offline and multilingual capabilities.. See the comparison table for live GitHub stats and shared categories. ### When should I choose Prompt-Engineering-Guide over pmb? Choose Prompt-Engineering-Guide over pmb when Prompt-Engineering-Guide is primarily MDX; pmb is Python; License: Prompt-Engineering-Guide is MIT, pmb is Apache-2.0; Tags unique to Prompt-Engineering-Guide: llms, deep-learning, agents, generative-ai; Also covers LLM Frameworks; When you seek comprehensive documentation and educational materials specifically focused on the nuance of prompt engineering techniques. ### When should I choose pmb over Prompt-Engineering-Guide? Choose pmb over Prompt-Engineering-Guide when pmb is primarily Python; Prompt-Engineering-Guide is MDX; License: pmb is Apache-2.0, Prompt-Engineering-Guide is MIT; Requirements: No explicit requirements listed in repository data, but likely Python and compatible SQL database setup.; Tags unique to pmb: codex, ai-memory, knowledge-graph, claude-code; Also covers Data & Retrieval; - When you need a solution that integrates directly with popular AI coding agents such as Claude Code, Cursor, and Codex. ### 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 pmb? - In scenarios where real-time data retrieval is essential since pmb focuses on local storage rather than cloud-based synchronization. - If your project requires heavy reliance on online services or if offline functionality doesn't provide a necessary advantage. - When the specific use case does not benefit from having multilingual capabilities for AI coding tasks. ### Is Prompt-Engineering-Guide or pmb more popular on GitHub? Prompt-Engineering-Guide has more GitHub stars (76,349 vs 300). Stars measure visibility, not whether either tool fits your constraints. ### Are Prompt-Engineering-Guide and pmb open source? Yes - both are open-source projects on GitHub (Prompt-Engineering-Guide: MIT, pmb: Apache-2.0). ### Where can I find alternatives to Prompt-Engineering-Guide or pmb? GraphCanon lists graph-backed alternatives at [Prompt-Engineering-Guide alternatives](/tools/dair-ai-prompt-engineering-guide/alternatives) and [pmb alternatives](/tools/oleksiijko-pmb/alternatives) ([Prompt-Engineering-Guide markdown twin](/tools/dair-ai-prompt-engineering-guide/alternatives.md), [pmb markdown twin](/tools/oleksiijko-pmb/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-oleksiijko-pmb.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 pmb? Prompt-Engineering-Guide: Slowing. pmb: 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 pmb? 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); [pmb trust report](/tools/oleksiijko-pmb/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/_