--- title: "12-factor-agents vs IB4LLMs" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/humanlayer-12-factor-agents-vs-zichuan-liu-ib4llms" tools: ["humanlayer-12-factor-agents", "zichuan-liu-ib4llms"] --- # 12-factor-agents vs IB4LLMs *GraphCanon updated Jul 12, 2026* ## Verdict Pick 12-factor-agents when 12-factor-agents is primarily TypeScript; IB4LLMs is Python; pick IB4LLMs when iB4LLMs is primarily Python; 12-factor-agents is TypeScript. [12-factor-agents](https://github.com/humanlayer/12-factor-agents) reports 24k GitHub stars, 1.8k forks, and 26 open issues, last pushed Sep 21, 2025. [IB4LLMs](https://zichuan-liu.github.io/projects/IBProtector/index.html) has 25 stars, 2 forks, and 4 open issues, last pushed Nov 7, 2024. Figures are from public GitHub metadata via [12-factor-agents's repository](https://github.com/humanlayer/12-factor-agents) and [IB4LLMs's repository](https://github.com/zichuan-liu/IB4LLMs). | | [12-factor-agents](/tools/humanlayer-12-factor-agents.md) | [IB4LLMs](/tools/zichuan-liu-ib4llms.md) | | --- | --- | --- | | Tagline | Principles for building production-ready LLM-powered software | Protecting Your LLMs with Information Bottleneck | | Stars | 24,036 | 25 | | Forks | 1,834 | 2 | | Open issues | 26 | 4 | | Language | TypeScript | Python | | Adopt for | A TypeScript-based framework focused on applying 12-factor principles to build production-ready software with large 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. | - | | Categories | AI Agents, LLM Frameworks | Evaluation & Observability, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [12-factor-agents](/tools/humanlayer-12-factor-agents.md) | [IB4LLMs](/tools/zichuan-liu-ib4llms.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Dormant (18%) | | Days since push | 292d | 611d | | Open issues (now) | 26 | 4 | | Owner type | Organization | User | | Security scan | No lockfile | 77 low (77 low) | | Full report | [trust report](/tools/humanlayer-12-factor-agents/trust.md) | [trust report](/tools/zichuan-liu-ib4llms/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. ## Choose when ### Choose 12-factor-agents if… - 12-factor-agents is primarily TypeScript; IB4LLMs is Python. - 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 IB4LLMs if… - IB4LLMs is primarily Python; 12-factor-agents is TypeScript. - Tags unique to IB4LLMs: adversarial prompts defense, information bottleneck, jailbreak defense, llms protection. - Also covers Evaluation & Observability. ## 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 IB4LLMs - Last GitHub push was 612 days ago (dormant maintenance, Nov 7, 2024). Validate activity before betting a new project on IB4LLMs. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. - 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 12-factor-agents and IB4LLMs? 12-factor-agents: Principles for building production-ready LLM-powered software. IB4LLMs: Protecting Your LLMs with Information Bottleneck. See the comparison table for live GitHub stats and shared categories. ### When should I choose 12-factor-agents over IB4LLMs? Choose 12-factor-agents over IB4LLMs when 12-factor-agents is primarily TypeScript; IB4LLMs is Python; 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 IB4LLMs over 12-factor-agents? Choose IB4LLMs over 12-factor-agents when IB4LLMs is primarily Python; 12-factor-agents is TypeScript; Tags unique to IB4LLMs: adversarial prompts defense, information bottleneck, jailbreak defense, llms protection; Also covers Evaluation & Observability. ### 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 IB4LLMs? Last GitHub push was 612 days ago (dormant maintenance, Nov 7, 2024). Validate activity before betting a new project on IB4LLMs. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is 12-factor-agents or IB4LLMs more popular on GitHub? 12-factor-agents has more GitHub stars (24,036 vs 25). Stars measure visibility, not whether either tool fits your constraints. ### Are 12-factor-agents and IB4LLMs open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to 12-factor-agents or IB4LLMs? GraphCanon lists graph-backed alternatives at [12-factor-agents alternatives](/tools/humanlayer-12-factor-agents/alternatives) and [IB4LLMs alternatives](/tools/zichuan-liu-ib4llms/alternatives) ([12-factor-agents markdown twin](/tools/humanlayer-12-factor-agents/alternatives.md), [IB4LLMs markdown twin](/tools/zichuan-liu-ib4llms/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-zichuan-liu-ib4llms.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 IB4LLMs? 12-factor-agents: Slowing. IB4LLMs: 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 IB4LLMs? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [12-factor-agents trust report](/tools/humanlayer-12-factor-agents/trust); [IB4LLMs trust report](/tools/zichuan-liu-ib4llms/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/_