Comparison
maid vs llmflows
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.
Markdown twin · maid alternatives · llmflows alternatives
GraphCanon updated Sep 20, 2026
vs
Trust & integrity
| Signal | maid | llmflows |
|---|---|---|
| Maintenance | Very active (6d since push) As of Sep 20, 2026 · github_public_v1 | Dormant (574d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | Published findings As of Sep 18, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- 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
Stars
- maid
- 2.7k
- llmflows
- 708
Forks
- maid
- 289
- llmflows
- 35
Open issues
- maid
- 12
- llmflows
- 19
Language
- maid
- TypeScript
- llmflows
- Python
Adopt for
- maid
- 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
- LLMFlows is a Python library designed for creating and managing LLM applications with a focus on simplicity and transparency.
Persona
- maid
- -
- llmflows
- -
Runtime
- maid
- -
- llmflows
- -
License
- maid
- MIT
- llmflows
- LLMFlows is distributed under the MIT license, allowing for free use, modification, and distribution.
Last pushed
- maid
- Sep 14, 2026
- llmflows
- Feb 20, 2025
Categories
- maid
- Inference & Serving, LLM Frameworks
- llmflows
- Inference & Serving, LLM Frameworks
Trust and health
Maintenance
- maid
- Very active (96%)
- llmflows
- Dormant (18%)
Days since push
- maid
- 6d
- llmflows
- 574d
Open issues (now)
- maid
- 12
- llmflows
- 19
Stars delta
- maid
- +63 (30d)
- llmflows
- +1 (30d)
Open issues delta
- maid
- +2 (30d)
- llmflows
- 0 (30d)
Owner type
- maid
- Organization
- llmflows
- User
OSV dependency advisories
- maid
- No lockfile (source not queried)
- llmflows
- Published findings
Full report
- maid
- Trust report
- llmflows
- Trust report
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.
When NOT to use maid
- Require a native app for another operating system beyond Android.
- Demand exclusive remote or local model capabilities, not both.
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 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Mobile-Artificial-Intelligence/maid) · observed Sep 20, 2026
- GitHub forks (Mobile-Artificial-Intelligence/maid) · observed Sep 20, 2026
- Last push (Mobile-Artificial-Intelligence/maid) · observed Sep 14, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (stoyan-stoyanov/llmflows) · observed Sep 20, 2026
- GitHub forks (stoyan-stoyanov/llmflows) · observed Sep 20, 2026
- Last push (stoyan-stoyanov/llmflows) · observed Feb 20, 2025
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: maid 2.7k · llmflows 708 (synced Sep 20, 2026).
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 and llmflows alternatives (maid markdown twin, llmflows markdown twin), 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 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; llmflows trust report.