--- title: "Prompt-Engineering-Guide vs statewave" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dair-ai-prompt-engineering-guide-vs-smaramwbc-statewave" tools: ["dair-ai-prompt-engineering-guide", "smaramwbc-statewave"] --- # Prompt-Engineering-Guide vs statewave *GraphCanon updated Jul 11, 2026* ## Verdict Pick Prompt-Engineering-Guide when prompt-Engineering-Guide is primarily MDX; statewave is Python; pick statewave when statewave 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. [statewave](https://statewave.ai) has 252 stars, 11 forks, and 1 open issues, last pushed Jul 9, 2026. Figures are from public GitHub metadata via [Prompt-Engineering-Guide's repository](https://github.com/dair-ai/Prompt-Engineering-Guide) and [statewave's repository](https://github.com/smaramwbc/statewave). | | [Prompt-Engineering-Guide](/tools/dair-ai-prompt-engineering-guide.md) | [statewave](/tools/smaramwbc-statewave.md) | | --- | --- | --- | | Tagline | Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents | Open-source memory runtime for AI agents — reproducible, provenance-tagged context bundles instead of query-time retrieval. Apache-2.0, self-hosted on Postgres + pgvector, Python + TypeScript SDKs. | | Stars | 76,349 | 252 | | Forks | 8,361 | 11 | | Open issues | 274 | 1 | | Language | MDX | Python | | Adopt for | Decision-critical facts for Prompt-Engineering-Guide | - | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | AI Agents, LLM Frameworks | Vector Databases, 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) | [statewave](/tools/smaramwbc-statewave.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 121d | 2d | | Open issues (now) | 274 | 1 | | 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/smaramwbc-statewave/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; statewave is Python. - License: Prompt-Engineering-Guide is MIT, statewave is Apache-2.0. - Tags unique to Prompt-Engineering-Guide: llms, deep-learning, agents, generative-ai. - When you seek comprehensive documentation and educational materials specifically focused on the nuance of prompt engineering techniques. ### Choose statewave if… - statewave is primarily Python; Prompt-Engineering-Guide is MDX. - License: statewave is Apache-2.0, Prompt-Engineering-Guide is MIT. - Tags unique to statewave: memory, postgres, llm, python. - Also covers Vector Databases. - statewave ships Docker support for self-hosted deployment. ## 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 statewave - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. - 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 statewave? Prompt-Engineering-Guide: Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents. statewave: Open-source memory runtime for AI agents — reproducible, provenance-tagged context bundles instead of query-time retrieval. Apache-2.0, self-hosted on Postgres + pgvector, Python + TypeScript SDKs.. See the comparison table for live GitHub stats and shared categories. ### When should I choose Prompt-Engineering-Guide over statewave? Choose Prompt-Engineering-Guide over statewave when Prompt-Engineering-Guide is primarily MDX; statewave is Python; License: Prompt-Engineering-Guide is MIT, statewave is Apache-2.0; Tags unique to Prompt-Engineering-Guide: llms, deep-learning, agents, generative-ai; When you seek comprehensive documentation and educational materials specifically focused on the nuance of prompt engineering techniques. ### When should I choose statewave over Prompt-Engineering-Guide? Choose statewave over Prompt-Engineering-Guide when statewave is primarily Python; Prompt-Engineering-Guide is MDX; License: statewave is Apache-2.0, Prompt-Engineering-Guide is MIT; Tags unique to statewave: memory, postgres, llm, python; Also covers Vector Databases; statewave ships Docker support for self-hosted deployment. ### 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 statewave? Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. 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 statewave more popular on GitHub? Prompt-Engineering-Guide has more GitHub stars (76,349 vs 252). Stars measure visibility, not whether either tool fits your constraints. ### Are Prompt-Engineering-Guide and statewave open source? Yes - both are open-source projects on GitHub (Prompt-Engineering-Guide: MIT, statewave: Apache-2.0). ### Where can I find alternatives to Prompt-Engineering-Guide or statewave? GraphCanon lists graph-backed alternatives at [Prompt-Engineering-Guide alternatives](/tools/dair-ai-prompt-engineering-guide/alternatives) and [statewave alternatives](/tools/smaramwbc-statewave/alternatives) ([Prompt-Engineering-Guide markdown twin](/tools/dair-ai-prompt-engineering-guide/alternatives.md), [statewave markdown twin](/tools/smaramwbc-statewave/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-smaramwbc-statewave.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 statewave? Prompt-Engineering-Guide: Slowing. statewave: 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 statewave? 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); [statewave trust report](/tools/smaramwbc-statewave/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/_