--- title: "12-factor-agents vs LLFn" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/humanlayer-12-factor-agents-vs-orgexyz-llfn" tools: ["humanlayer-12-factor-agents", "orgexyz-llfn"] --- # 12-factor-agents vs LLFn *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 LLFn if lightweight, MIT-licensed Python framework for developing with Language Models. [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. [LLFn](https://llfn.orge.xyz/) has 96 stars, 7 forks, and 1 open issues, last pushed Jul 30, 2023. Figures are from public GitHub metadata via [12-factor-agents's repository](https://github.com/humanlayer/12-factor-agents) and [LLFn's repository](https://github.com/orgexyz/LLFn). | | [12-factor-agents](/tools/humanlayer-12-factor-agents.md) | [LLFn](/tools/orgexyz-llfn.md) | | --- | --- | --- | | Tagline | Principles for building production-ready LLM-powered software | A lightweight framework for creating applications using LLMs | | Stars | 25,353 | 96 | | Forks | 1,918 | 7 | | Open issues | 26 | 1 | | Language | TypeScript | Python | | Adopt for | A TypeScript-based framework focused on applying 12-factor principles to build production-ready software with large language models. | Lightweight, MIT-licensed Python framework for developing with Language Models | | 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. | MIT | | Categories | AI Agents, LLM Frameworks | LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [12-factor-agents](/tools/humanlayer-12-factor-agents.md) | [LLFn](/tools/orgexyz-llfn.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Dormant (18%) | | Days since push | 330d | 1112d | | Open issues (now) | 26 | 1 | | Stars delta | +966 (30d) | 0 (30d) | | Full report | [trust report](/tools/humanlayer-12-factor-agents/trust.md) | [trust report](/tools/orgexyz-llfn/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: LLFn - **Adopt for:** Lightweight, MIT-licensed Python framework for developing with Language Models ## Choose when ### Choose 12-factor-agents if… - 12-factor-agents is primarily TypeScript; LLFn is Python. - License: 12-factor-agents is Other, LLFn is MIT. - 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, agents, ai, context-window. - Also covers AI Agents. - 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 LLFn if… - LLFn is primarily Python; 12-factor-agents is TypeScript. - License: LLFn is MIT, 12-factor-agents is Other. - Tags unique to LLFn: applications with llms, lightweight, python. - Ideal for prototyping and small-scale projects needing quick development cycles. ## 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 LLFn - Avoid if requiring extensive customization or large-scale applications with complex scaling needs. - Not recommended for teams prioritizing enterprise-level support and service features. ## Common questions ### What is the difference between 12-factor-agents and LLFn? 12-factor-agents: Principles for building production-ready LLM-powered software. LLFn: A lightweight framework for creating applications using LLMs. See the comparison table for live GitHub stats and shared categories. ### When should I choose 12-factor-agents over LLFn? Choose 12-factor-agents over LLFn when 12-factor-agents is primarily TypeScript; LLFn is Python; License: 12-factor-agents is Other, LLFn is MIT; 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, agents, ai, context-window; Also covers AI Agents; 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 LLFn over 12-factor-agents? Choose LLFn over 12-factor-agents when LLFn is primarily Python; 12-factor-agents is TypeScript; License: LLFn is MIT, 12-factor-agents is Other; Tags unique to LLFn: applications with llms, lightweight, python; Ideal for prototyping and small-scale projects needing quick development cycles. ### 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 LLFn? Avoid if requiring extensive customization or large-scale applications with complex scaling needs. Not recommended for teams prioritizing enterprise-level support and service features. ### Is 12-factor-agents or LLFn more popular on GitHub? 12-factor-agents has more GitHub stars (25,353 vs 96). Stars measure visibility, not whether either tool fits your constraints. ### Are 12-factor-agents and LLFn open source? Yes - both are open-source projects on GitHub (12-factor-agents: Other, LLFn: MIT). ### Where can I find alternatives to 12-factor-agents or LLFn? GraphCanon lists graph-backed alternatives at [12-factor-agents alternatives](/tools/humanlayer-12-factor-agents/alternatives) and [LLFn alternatives](/tools/orgexyz-llfn/alternatives) ([12-factor-agents markdown twin](/tools/humanlayer-12-factor-agents/alternatives.md), [LLFn markdown twin](/tools/orgexyz-llfn/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-orgexyz-llfn.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 LLFn? 12-factor-agents: Slowing. LLFn: 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 12-factor-agents and LLFn? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [12-factor-agents trust report](/tools/humanlayer-12-factor-agents/trust); [LLFn trust report](/tools/orgexyz-llfn/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/_