--- title: "12-factor-agents vs potpie" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/humanlayer-12-factor-agents-vs-potpie-ai-potpie" tools: ["humanlayer-12-factor-agents", "potpie-ai-potpie"] --- # 12-factor-agents vs potpie *GraphCanon updated Aug 18, 2026* ## Verdict Pick 12-factor-agents if a TypeScript-based framework focused on applying 12-factor principles to build production-ready software with large language models; pick potpie if potpie: Manages contextual AI data in SDLC via Python under Apache-2.0 license. [12-factor-agents](https://github.com/humanlayer/12-factor-agents) reports 25k GitHub stars, 1.9k forks, and 26 open issues, last pushed Sep 21, 2025. [potpie](https://potpie.ai) has 5.6k stars, 648 forks, and 104 open issues, last pushed Aug 18, 2026. Figures are from public GitHub metadata via [12-factor-agents's repository](https://github.com/humanlayer/12-factor-agents) and [potpie's repository](https://github.com/potpie-ai/potpie). | | [12-factor-agents](/tools/humanlayer-12-factor-agents.md) | [potpie](/tools/potpie-ai-potpie.md) | | --- | --- | --- | | Tagline | Principles for building production-ready LLM-powered software | Context Graph for AI Native SDLC | | Stars | 25,353 | 5,579 | | Forks | 1,918 | 648 | | Open issues | 26 | 104 | | Language | TypeScript | Python | | Adopt for | A TypeScript-based framework focused on applying 12-factor principles to build production-ready software with large language models. | Potpie: Manages contextual AI data in SDLC via Python under Apache-2.0 license. | | Persona | - | - | | Runtime | - | - | | License | The content and images are licensed under CC BY-SA 4.0, while the code is covered by the Apache 2.0 License. | Apache-2.0 | | Categories | AI Agents, LLM Frameworks | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [12-factor-agents](/tools/humanlayer-12-factor-agents.md) | [potpie](/tools/potpie-ai-potpie.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 330d | 0d | | Open issues (now) | 26 | 104 | | Stars delta | +966 (30d) | +74 (30d) | | Open issues delta | 0 (30d) | -13 (30d) | | Full report | [trust report](/tools/humanlayer-12-factor-agents/trust.md) | [trust report](/tools/potpie-ai-potpie/trust.md) | ## Decision facts: 12-factor-agents - **Pricing:** freemium - Free to use with open-source licenses - **Requirements:** Min 4 GB RAM; Requires Docker; Requires a solid understanding of TypeScript and familiarity with concepts like prompt engineering and context window management. - **Adopt for:** A TypeScript-based framework focused on applying 12-factor principles to build production-ready software with large language models. - **License detail:** The content and images are licensed under CC BY-SA 4.0, while the code is covered by the Apache 2.0 License. ## Decision facts: potpie - **Adopt for:** Potpie: Manages contextual AI data in SDLC via Python under Apache-2.0 license. ## Choose when ### Choose 12-factor-agents if… - 12-factor-agents is primarily TypeScript; potpie is Python. - License: 12-factor-agents is Other, potpie is Apache-2.0. - Pricing: Free to use with open-source licenses. - Requirements: Min 4 GB RAM; Requires Docker; Requires a solid understanding of TypeScript and familiarity with concepts like prompt engineering and context window management.. - Tags unique to 12-factor-agents: 12-factor, ai, context-window, framework. - Also covers LLM Frameworks. - You are specifically developing AI agents or LLM-powered applications in TypeScript and need a structured guideline grounded in the 12-factor app principles. ### Choose potpie if… - potpie is primarily Python; 12-factor-agents is TypeScript. - License: potpie is Apache-2.0, 12-factor-agents is Other. - Tags unique to potpie: ai-agents-framework, devtools, generative-ai, knowledge-graph. - Also covers Developer Tools. - When needing a Python-based framework to integrate contextual data management throughout the lifecycle of AI projects. ## When NOT to use 12-factor-agents - If your project requires languages other than TypeScript or if your application already has a strong foundation not necessarily aligning with the 12-factor app principles. - When you’re looking for comprehensive deployment automation tools rather than guidance on building LLM-powered agents and ensuring their reliability in production environments. ## When NOT to use potpie - Avoid if your SDLC does not involve significant AI component integration or context-sensitive data operations. - Skip for projects needing solutions without Python dependency or requiring more flexible, non-graph-based toolsets. ## Common questions ### What is the difference between 12-factor-agents and potpie? 12-factor-agents: Principles for building production-ready LLM-powered software. potpie: Context Graph for AI Native SDLC. See the comparison table for live GitHub stats and shared categories. ### When should I choose 12-factor-agents over potpie? Choose 12-factor-agents over potpie when 12-factor-agents is primarily TypeScript; potpie is Python; License: 12-factor-agents is Other, potpie is Apache-2.0; Pricing: Free to use with open-source licenses; Requirements: Min 4 GB RAM; Requires Docker; Requires a solid understanding of TypeScript and familiarity with concepts like prompt engineering and context window management.; Tags unique to 12-factor-agents: 12-factor, ai, context-window, framework; Also covers LLM Frameworks; You are specifically developing AI agents or LLM-powered applications in TypeScript and need a structured guideline grounded in the 12-factor app principles. ### When should I choose potpie over 12-factor-agents? Choose potpie over 12-factor-agents when potpie is primarily Python; 12-factor-agents is TypeScript; License: potpie is Apache-2.0, 12-factor-agents is Other; Tags unique to potpie: ai-agents-framework, devtools, generative-ai, knowledge-graph; Also covers Developer Tools; When needing a Python-based framework to integrate contextual data management throughout the lifecycle of AI projects. ### When should I avoid 12-factor-agents? If your project requires languages other than TypeScript or if your application already has a strong foundation not necessarily aligning with the 12-factor app principles. When you’re looking for comprehensive deployment automation tools rather than guidance on building LLM-powered agents and ensuring their reliability in production environments. ### When should I avoid potpie? Avoid if your SDLC does not involve significant AI component integration or context-sensitive data operations. Skip for projects needing solutions without Python dependency or requiring more flexible, non-graph-based toolsets. ### Is 12-factor-agents or potpie more popular on GitHub? 12-factor-agents has more GitHub stars (25,353 vs 5,579). Stars measure visibility, not whether either tool fits your constraints. ### Are 12-factor-agents and potpie open source? Yes - both are open-source projects on GitHub (12-factor-agents: Other, potpie: Apache-2.0). ### Where can I find alternatives to 12-factor-agents or potpie? GraphCanon lists graph-backed alternatives at [12-factor-agents alternatives](/tools/humanlayer-12-factor-agents/alternatives) and [potpie alternatives](/tools/potpie-ai-potpie/alternatives) ([12-factor-agents markdown twin](/tools/humanlayer-12-factor-agents/alternatives.md), [potpie markdown twin](/tools/potpie-ai-potpie/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/humanlayer-12-factor-agents-vs-potpie-ai-potpie.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, 12-factor-agents or potpie? 12-factor-agents: Slowing. potpie: 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 12-factor-agents and potpie? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [12-factor-agents trust report](/tools/humanlayer-12-factor-agents/trust); [potpie trust report](/tools/potpie-ai-potpie/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=humanlayer-12-factor-agents`](/api/graphcanon/graph?tool=humanlayer-12-factor-agents) - 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/_