--- title: "maid vs llmflows" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mobile-artificial-intelligence-maid-vs-stoyan-stoyanov-llmflows" tools: ["mobile-artificial-intelligence-maid", "stoyan-stoyanov-llmflows"] --- # maid vs llmflows *GraphCanon updated Sep 20, 2026* ## Verdict Pick maid if maid is an open-source app for interacting with both local llama.cpp models and remote LLMs like Anthropic and OpenAI via mobile platforms; pick llmflows if lLMFlows is a Python library designed for creating and managing LLM applications with a focus on simplicity and transparency. [maid](https://github.com/Mobile-Artificial-Intelligence/maid) reports 2.7k GitHub stars, 289 forks, and 12 open issues, last pushed Sep 14, 2026. [llmflows](https://llmflows.readthedocs.io) has 708 stars, 35 forks, and 19 open issues, last pushed Feb 20, 2025. Figures are from public GitHub metadata via [maid's repository](https://github.com/Mobile-Artificial-Intelligence/maid) and [llmflows's repository](https://github.com/stoyan-stoyanov/llmflows). | | [maid](/tools/mobile-artificial-intelligence-maid.md) | [llmflows](/tools/stoyan-stoyanov-llmflows.md) | | --- | --- | --- | | Tagline | Maid is an open-source app for interfacing with various LLM models both locally and remotely, supporting platforms such as Android. | Simple, Explicit and Transparent LLM Apps | | Stars | 2,695 | 708 | | Forks | 289 | 35 | | Open issues | 12 | 19 | | Language | TypeScript | Python | | Adopt for | Maid is an open-source app for interacting with both local llama.cpp models and remote LLMs like Anthropic and OpenAI via mobile platforms. | LLMFlows is a Python library designed for creating and managing LLM applications with a focus on simplicity and transparency. | | Persona | - | - | | Runtime | - | - | | License | MIT | LLMFlows is distributed under the MIT license, allowing for free use, modification, and distribution. | | Categories | Inference & Serving, LLM Frameworks | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [maid](/tools/mobile-artificial-intelligence-maid.md) | [llmflows](/tools/stoyan-stoyanov-llmflows.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 6d | 574d | | Open issues (now) | 12 | 19 | | Stars delta | +63 (30d) | +1 (30d) | | Open issues delta | +2 (30d) | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/mobile-artificial-intelligence-maid/trust.md) | [trust report](/tools/stoyan-stoyanov-llmflows/trust.md) | ## Decision facts: maid - **Adopt for:** Maid is an open-source app for interacting with both local llama.cpp models and remote LLMs like Anthropic and OpenAI via mobile platforms. ## Decision facts: llmflows - **Pricing:** freemium - The library is free to use, but additional services or support might incur costs. - **Requirements:** Min 2 GB RAM; Python environment is required. - **Adopt for:** LLMFlows is a Python library designed for creating and managing LLM applications with a focus on simplicity and transparency. - **License detail:** LLMFlows is distributed under the MIT license, allowing for free use, modification, and distribution. ## Choose when ### Choose maid if… - maid is primarily TypeScript; llmflows is Python. - Tags unique to maid: android, anthropic, chatbot, deepseek. - Need to interface with diversified language models on Android devices. ### Choose llmflows if… - llmflows is primarily Python; maid is TypeScript. - Pricing: The library is free to use, but additional services or support might incur costs.. - Requirements: Min 2 GB RAM; Python environment is required.. - Tags unique to llmflows: ai, chatgpt, gpt-4, llm. - When you need a straightforward and transparent approach to building LLM applications, LLMFlows offers a simple framework that prioritizes clarity in the development process. ## When NOT to use maid - Require a native app for another operating system beyond Android. - Demand exclusive remote or local model capabilities, not both. ## When NOT to use llmflows - Avoid LLMFlows if you require advanced customization options that go beyond its simple and explicit design philosophy. - Do not use LLMFlows if your project demands a more complex framework that integrates a wide range of third-party services, as LLMFlows focuses on simplicity and may lack extensive integration features ## Common questions ### What is the difference between maid and llmflows? maid: Maid is an open-source app for interfacing with various LLM models both locally and remotely, supporting platforms such as Android.. llmflows: Simple, Explicit and Transparent LLM Apps. See the comparison table for live GitHub stats and shared categories. ### When should I choose maid over llmflows? Choose maid over llmflows when maid is primarily TypeScript; llmflows is Python; Tags unique to maid: android, anthropic, chatbot, deepseek; Need to interface with diversified language models on Android devices. ### When should I choose llmflows over maid? Choose llmflows over maid when llmflows is primarily Python; maid is TypeScript; Pricing: The library is free to use, but additional services or support might incur costs.; Requirements: Min 2 GB RAM; Python environment is required.; Tags unique to llmflows: ai, chatgpt, gpt-4, llm; When you need a straightforward and transparent approach to building LLM applications, LLMFlows offers a simple framework that prioritizes clarity in the development process. ### When should I avoid maid? Require a native app for another operating system beyond Android. Demand exclusive remote or local model capabilities, not both. ### When should I avoid llmflows? Avoid LLMFlows if you require advanced customization options that go beyond its simple and explicit design philosophy. Do not use LLMFlows if your project demands a more complex framework that integrates a wide range of third-party services, as LLMFlows focuses on simplicity and may lack extensive integration features ### Is maid or llmflows more popular on GitHub? maid has more GitHub stars (2,695 vs 708). Stars measure visibility, not whether either tool fits your constraints. ### Are maid and llmflows open source? Yes - both are open-source projects on GitHub (maid: MIT, llmflows: MIT). ### Where can I find alternatives to maid or llmflows? GraphCanon lists graph-backed alternatives at [maid alternatives](/tools/mobile-artificial-intelligence-maid/alternatives) and [llmflows alternatives](/tools/stoyan-stoyanov-llmflows/alternatives) ([maid markdown twin](/tools/mobile-artificial-intelligence-maid/alternatives.md), [llmflows markdown twin](/tools/stoyan-stoyanov-llmflows/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/mobile-artificial-intelligence-maid-vs-stoyan-stoyanov-llmflows.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, maid or llmflows? maid: Very active. llmflows: 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 maid and llmflows? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [maid trust report](/tools/mobile-artificial-intelligence-maid/trust); [llmflows trust report](/tools/stoyan-stoyanov-llmflows/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=mobile-artificial-intelligence-maid`](/api/graphcanon/graph?tool=mobile-artificial-intelligence-maid) - 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/_