--- title: "12-factor-agents vs lagent" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/humanlayer-12-factor-agents-vs-internlm-lagent" tools: ["humanlayer-12-factor-agents", "internlm-lagent"] --- # 12-factor-agents vs lagent *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 lagent if lagent is a Python framework aimed at streamlining the creation of lightweight Large Language Model (LLM) agents. [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. [lagent](https://github.com/InternLM/lagent) has 2.3k stars, 238 forks, and 24 open issues, last pushed Aug 3, 2026. Figures are from public GitHub metadata via [12-factor-agents's repository](https://github.com/humanlayer/12-factor-agents) and [lagent's repository](https://github.com/InternLM/lagent). | | [12-factor-agents](/tools/humanlayer-12-factor-agents.md) | [lagent](/tools/internlm-lagent.md) | | --- | --- | --- | | Tagline | Principles for building production-ready LLM-powered software | A lightweight framework for building LLM-based agents | | Stars | 25,353 | 2,276 | | Forks | 1,918 | 238 | | Open issues | 26 | 24 | | Language | TypeScript | Python | | Adopt for | A TypeScript-based framework focused on applying 12-factor principles to build production-ready software with large language models. | lagent is a Python framework aimed at streamlining the creation of lightweight Large Language Model (LLM) agents. | | 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. | lagent is open-source under the Apache-2.0 license, allowing for broad use and modification with attribution. | | Categories | AI Agents, LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [12-factor-agents](/tools/humanlayer-12-factor-agents.md) | [lagent](/tools/internlm-lagent.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Active (82%) | | Days since push | 330d | 12d | | Open issues (now) | 26 | 24 | | Stars delta | +966 (30d) | +8 (30d) | | Open issues delta | 0 (30d) | +1 (30d) | | Full report | [trust report](/tools/humanlayer-12-factor-agents/trust.md) | [trust report](/tools/internlm-lagent/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: lagent - **Pricing:** freemium - Available freely due to its open-source nature, but customization or enterprise support might involve additional costs. - **Adopt for:** lagent is a Python framework aimed at streamlining the creation of lightweight Large Language Model (LLM) agents. - **License detail:** lagent is open-source under the Apache-2.0 license, allowing for broad use and modification with attribution. ## Choose when ### Choose 12-factor-agents if… - 12-factor-agents is primarily TypeScript; lagent is Python. - License: 12-factor-agents is Other, lagent 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, agents, ai, context-window. - 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 lagent if… - lagent is primarily Python; 12-factor-agents is TypeScript. - License: lagent is Apache-2.0, 12-factor-agents is Other. - Pricing: Available freely due to its open-source nature, but customization or enterprise support might involve additional costs.. - Tags unique to lagent: agent, gpt, llm, transformers. - When you need a streamlined approach to develop LLM-based agents with minimal overhead, lagent can be particularly advantageous due to its lightweight design. ## 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 lagent - Avoid using lagent if your project necessitates integration with a broader set of tools that are not natively supported by this framework, as it offers limited out-of-the-box extensibility. - Steer clear if you need robust scalability features right from the start. While lightweight, lagent may require additional custom work to handle more demanding scaling requirements. ## Common questions ### What is the difference between 12-factor-agents and lagent? 12-factor-agents: Principles for building production-ready LLM-powered software. lagent: A lightweight framework for building LLM-based agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose 12-factor-agents over lagent? Choose 12-factor-agents over lagent when 12-factor-agents is primarily TypeScript; lagent is Python; License: 12-factor-agents is Other, lagent 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, agents, ai, context-window; 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 lagent over 12-factor-agents? Choose lagent over 12-factor-agents when lagent is primarily Python; 12-factor-agents is TypeScript; License: lagent is Apache-2.0, 12-factor-agents is Other; Pricing: Available freely due to its open-source nature, but customization or enterprise support might involve additional costs.; Tags unique to lagent: agent, gpt, llm, transformers; When you need a streamlined approach to develop LLM-based agents with minimal overhead, lagent can be particularly advantageous due to its lightweight design. ### 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 lagent? Avoid using lagent if your project necessitates integration with a broader set of tools that are not natively supported by this framework, as it offers limited out-of-the-box extensibility. Steer clear if you need robust scalability features right from the start. While lightweight, lagent may require additional custom work to handle more demanding scaling requirements. ### Is 12-factor-agents or lagent more popular on GitHub? 12-factor-agents has more GitHub stars (25,353 vs 2,276). Stars measure visibility, not whether either tool fits your constraints. ### Are 12-factor-agents and lagent open source? Yes - both are open-source projects on GitHub (12-factor-agents: Other, lagent: Apache-2.0). ### Where can I find alternatives to 12-factor-agents or lagent? GraphCanon lists graph-backed alternatives at [12-factor-agents alternatives](/tools/humanlayer-12-factor-agents/alternatives) and [lagent alternatives](/tools/internlm-lagent/alternatives) ([12-factor-agents markdown twin](/tools/humanlayer-12-factor-agents/alternatives.md), [lagent markdown twin](/tools/internlm-lagent/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-internlm-lagent.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 lagent? 12-factor-agents: Slowing. lagent: 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 lagent? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [12-factor-agents trust report](/tools/humanlayer-12-factor-agents/trust); [lagent trust report](/tools/internlm-lagent/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/_