Comparison
resume-ai vs agentflow
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.
Markdown twin · resume-ai alternatives · agentflow alternatives
GraphCanon updated Sep 20, 2026
14views this month
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Trust & integrity
| Signal | resume-ai | agentflow |
|---|---|---|
| Maintenance | Slowing (92d since push) As of Sep 20, 2026 · github_public_v1 | Dormant (1100d since push) As of Aug 16, 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 Aug 16, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 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
- 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
Stars
- resume-ai
- 396
- agentflow
- 320
Forks
- resume-ai
- 50
- agentflow
- 27
Open issues
- resume-ai
- 4
- agentflow
- 13
Language
- resume-ai
- JavaScript
- agentflow
- Python
Adopt for
- resume-ai
- 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
- Agentflow simplifies the creation of complex workflows for large language models through simple JSON configurations.
Persona
- resume-ai
- -
- agentflow
- -
Runtime
- resume-ai
- -
- agentflow
- -
License
- resume-ai
- resume-ai is released under the MIT License, allowing for flexible use in both open source and commercial projects.
- agentflow
- MIT
Last pushed
- resume-ai
- Jun 20, 2026
- agentflow
- Aug 11, 2023
Categories
- resume-ai
- LLM Frameworks
- agentflow
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- resume-ai
- Slowing (36%)
- agentflow
- Dormant (18%)
Days since push
- resume-ai
- 92d
- agentflow
- 1100d
Open issues (now)
- resume-ai
- 4
- agentflow
- 13
Stars delta
- resume-ai
- +4 (30d)
- agentflow
- -1 (30d)
Owner type
- resume-ai
- Organization
- agentflow
- User
Full report
- resume-ai
- Trust report
- agentflow
- Trust report
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.
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.
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 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (resume-llm/resume-ai) · observed Sep 20, 2026
- GitHub forks (resume-llm/resume-ai) · observed Sep 20, 2026
- Last push (resume-llm/resume-ai) · observed Jun 20, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (simonmesmith/agentflow) · observed Sep 20, 2026
- GitHub forks (simonmesmith/agentflow) · observed Sep 20, 2026
- Last push (simonmesmith/agentflow) · observed Aug 11, 2023
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: resume-ai 396 · agentflow 320 (synced Sep 20, 2026).
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 and agentflow alternatives (resume-ai markdown twin, agentflow 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, 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; agentflow trust report.