--- title: "resume-ai vs agentflow" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/resume-llm-resume-ai-vs-simonmesmith-agentflow" tools: ["resume-llm-resume-ai", "simonmesmith-agentflow"] --- # resume-ai vs agentflow *GraphCanon updated Sep 20, 2026* ## Verdict Pick resume-ai if resume-ai is a JavaScript-based privacy-focused resume builder that uses local language models to create ATS-compliant DOCX files without involving cloud services; pick agentflow if agentflow simplifies the creation of complex workflows for large language models through simple JSON configurations. [resume-ai](https://github.com/resume-llm/resume-ai) reports 396 GitHub stars, 50 forks, and 4 open issues, last pushed Jun 20, 2026. [agentflow](https://github.com/simonmesmith/agentflow) has 320 stars, 27 forks, and 13 open issues, last pushed Aug 11, 2023. Figures are from public GitHub metadata via [resume-ai's repository](https://github.com/resume-llm/resume-ai) and [agentflow's repository](https://github.com/simonmesmith/agentflow). | | [resume-ai](/tools/resume-llm-resume-ai.md) | [agentflow](/tools/simonmesmith-agentflow.md) | | --- | --- | --- | | Tagline | A local privacy-first resume builder using LLMs and Markdown to generate ATS-ready DOCX files with Pandoc | Complex LLM Workflows from Simple JSON | | Stars | 396 | 320 | | Forks | 50 | 27 | | Open issues | 4 | 13 | | Language | JavaScript | Python | | Adopt for | resume-ai is a JavaScript-based privacy-focused resume builder that uses local language models to create ATS-compliant DOCX files without involving cloud services. | Agentflow simplifies the creation of complex workflows for large language models through simple JSON configurations. | | Persona | - | - | | Runtime | - | - | | License | resume-ai is released under the MIT License, allowing for flexible use in both open source and commercial projects. | MIT | | Categories | LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [resume-ai](/tools/resume-llm-resume-ai.md) | [agentflow](/tools/simonmesmith-agentflow.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Dormant (18%) | | Days since push | 92d | 1100d | | Open issues (now) | 4 | 13 | | Stars delta | +4 (30d) | -1 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/resume-llm-resume-ai/trust.md) | [trust report](/tools/simonmesmith-agentflow/trust.md) | ## Decision facts: resume-ai - **Adopt for:** resume-ai is a JavaScript-based privacy-focused resume builder that uses local language models to create ATS-compliant DOCX files without involving cloud services. - **License detail:** resume-ai is released under the MIT License, allowing for flexible use in both open source and commercial projects. ## Decision facts: agentflow - **Adopt for:** Agentflow simplifies the creation of complex workflows for large language models through simple JSON configurations. ## Choose when ### Choose resume-ai if… - resume-ai is primarily JavaScript; agentflow is Python. - Tags unique to resume-ai: ai-resume-builder, local-llm, resume-builder. - Developers or users concerned with data privacy should use resume-ai, as it keeps the entire process local and does not involve any cloud services, ensuring no data is uploaded or tracked. ### Choose agentflow if… - agentflow is primarily Python; resume-ai is JavaScript. - Tags unique to agentflow: json, large-language-models, python, workflow-management. - Also covers AI Agents. - When you need to rapidly prototype LLM workflows with minimal coding via JSON configs ## When NOT to use resume-ai - If you require real-time collaborative editing features, resume-ai may not be suitable as it operates locally and cannot support simultaneous online collaboration. - Those who prefer tools with extensive customization options delivered through cloud integration should consider alternatives since resume-ai focuses on privacy by avoiding any form of cloud service. ## When NOT to use agentflow - Avoid if requiring advanced customization that goes beyond basic JSON configurations - Not suitable for scenarios needing real-time dynamic changes in workflow setup during execution ## Common questions ### What is the difference between resume-ai and agentflow? resume-ai: A local privacy-first resume builder using LLMs and Markdown to generate ATS-ready DOCX files with Pandoc. agentflow: Complex LLM Workflows from Simple JSON. See the comparison table for live GitHub stats and shared categories. ### When should I choose resume-ai over agentflow? Choose resume-ai over agentflow when resume-ai is primarily JavaScript; agentflow is Python; Tags unique to resume-ai: ai-resume-builder, local-llm, resume-builder; Developers or users concerned with data privacy should use resume-ai, as it keeps the entire process local and does not involve any cloud services, ensuring no data is uploaded or tracked. ### When should I choose agentflow over resume-ai? Choose agentflow over resume-ai when agentflow is primarily Python; resume-ai is JavaScript; Tags unique to agentflow: json, large-language-models, python, workflow-management; Also covers AI Agents; When you need to rapidly prototype LLM workflows with minimal coding via JSON configs. ### When should I avoid resume-ai? If you require real-time collaborative editing features, resume-ai may not be suitable as it operates locally and cannot support simultaneous online collaboration. Those who prefer tools with extensive customization options delivered through cloud integration should consider alternatives since resume-ai focuses on privacy by avoiding any form of cloud service. ### When should I avoid agentflow? Avoid if requiring advanced customization that goes beyond basic JSON configurations Not suitable for scenarios needing real-time dynamic changes in workflow setup during execution ### Is resume-ai or agentflow more popular on GitHub? resume-ai has more GitHub stars (396 vs 320). Stars measure visibility, not whether either tool fits your constraints. ### Are resume-ai and agentflow open source? Yes - both are open-source projects on GitHub (resume-ai: MIT, agentflow: MIT). ### Where can I find alternatives to resume-ai or agentflow? GraphCanon lists graph-backed alternatives at [resume-ai alternatives](/tools/resume-llm-resume-ai/alternatives) and [agentflow alternatives](/tools/simonmesmith-agentflow/alternatives) ([resume-ai markdown twin](/tools/resume-llm-resume-ai/alternatives.md), [agentflow markdown twin](/tools/simonmesmith-agentflow/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/resume-llm-resume-ai-vs-simonmesmith-agentflow.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, resume-ai or agentflow? resume-ai: Slowing. agentflow: 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 resume-ai and agentflow? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [resume-ai trust report](/tools/resume-llm-resume-ai/trust); [agentflow trust report](/tools/simonmesmith-agentflow/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=resume-llm-resume-ai`](/api/graphcanon/graph?tool=resume-llm-resume-ai) - 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/_