--- title: "Prompt-Engineering-Guide vs OmAgent" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dair-ai-prompt-engineering-guide-vs-om-ai-lab-omagent" tools: ["dair-ai-prompt-engineering-guide", "om-ai-lab-omagent"] --- # Prompt-Engineering-Guide vs OmAgent *GraphCanon updated Jul 15, 2026* ## Verdict Pick Prompt-Engineering-Guide when prompt-Engineering-Guide is primarily MDX; OmAgent is Python; pick OmAgent when omAgent 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. [OmAgent](https://om-agent.com) has 2.7k stars, 291 forks, and 21 open issues, last pushed Mar 19, 2025. Figures are from public GitHub metadata via [Prompt-Engineering-Guide's repository](https://github.com/dair-ai/Prompt-Engineering-Guide) and [OmAgent's repository](https://github.com/om-ai-lab/OmAgent). | | [Prompt-Engineering-Guide](/tools/dair-ai-prompt-engineering-guide.md) | [OmAgent](/tools/om-ai-lab-omagent.md) | | --- | --- | --- | | Tagline | Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents | [EMNLP-2024] Build multimodal language agents for fast prototype and production | | Stars | 76,349 | 2,662 | | Forks | 8,361 | 291 | | Open issues | 274 | 21 | | Language | MDX | Python | | Adopt for | Decision-critical facts for Prompt-Engineering-Guide | - | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | AI Agents, LLM Frameworks | AI Agents, Computer Vision, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Prompt-Engineering-Guide](/tools/dair-ai-prompt-engineering-guide.md) | [OmAgent](/tools/om-ai-lab-omagent.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Dormant (18%) | | Days since push | 121d | 482d | | Open issues (now) | 274 | 21 | | Full report | [trust report](/tools/dair-ai-prompt-engineering-guide/trust.md) | [trust report](/tools/om-ai-lab-omagent/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; OmAgent is Python. - License: Prompt-Engineering-Guide is MIT, OmAgent is Apache-2.0. - 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 OmAgent if… - OmAgent is primarily Python; Prompt-Engineering-Guide is MDX. - License: OmAgent is Apache-2.0, Prompt-Engineering-Guide is MIT. - Tags unique to OmAgent: chatbot, gemini, gpt, gpt4. - Also covers Computer Vision. ## 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 OmAgent - Last GitHub push was 483 days ago (dormant maintenance, Mar 19, 2025). Validate activity before betting a new project on OmAgent. - 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 OmAgent? Prompt-Engineering-Guide: Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents. OmAgent: [EMNLP-2024] Build multimodal language agents for fast prototype and production. See the comparison table for live GitHub stats and shared categories. ### When should I choose Prompt-Engineering-Guide over OmAgent? Choose Prompt-Engineering-Guide over OmAgent when Prompt-Engineering-Guide is primarily MDX; OmAgent is Python; License: Prompt-Engineering-Guide is MIT, OmAgent is Apache-2.0; 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 OmAgent over Prompt-Engineering-Guide? Choose OmAgent over Prompt-Engineering-Guide when OmAgent is primarily Python; Prompt-Engineering-Guide is MDX; License: OmAgent is Apache-2.0, Prompt-Engineering-Guide is MIT; Tags unique to OmAgent: chatbot, gemini, gpt, gpt4; Also covers Computer Vision. ### 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 OmAgent? Last GitHub push was 483 days ago (dormant maintenance, Mar 19, 2025). Validate activity before betting a new project on OmAgent. 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 OmAgent more popular on GitHub? Prompt-Engineering-Guide has more GitHub stars (76,349 vs 2,662). Stars measure visibility, not whether either tool fits your constraints. ### Are Prompt-Engineering-Guide and OmAgent open source? Yes - both are open-source projects on GitHub (Prompt-Engineering-Guide: MIT, OmAgent: Apache-2.0). ### Where can I find alternatives to Prompt-Engineering-Guide or OmAgent? GraphCanon lists graph-backed alternatives at [Prompt-Engineering-Guide alternatives](/tools/dair-ai-prompt-engineering-guide/alternatives) and [OmAgent alternatives](/tools/om-ai-lab-omagent/alternatives) ([Prompt-Engineering-Guide markdown twin](/tools/dair-ai-prompt-engineering-guide/alternatives.md), [OmAgent markdown twin](/tools/om-ai-lab-omagent/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-om-ai-lab-omagent.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 OmAgent? Prompt-Engineering-Guide: Slowing. OmAgent: 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 Prompt-Engineering-Guide and OmAgent? 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); [OmAgent trust report](/tools/om-ai-lab-omagent/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/_