Resume-Matcher
The #1 AI Harness for Building Resumes, PDFs, Cover Letters & more, locally with 100+ LLMs support.
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
64views this month
Decision brief
A versatile TypeScript-based AI tool that supports more than 100 language models for building and parsing resumes, cover letters, and other documents with functionalities like text-similarity analysis and vector search.
Good fit when
- When you require extensive customization of resume-building tools supported by over 100 different language models.
- If your project necessitates local execution to ensure data privacy while utilizing advanced natural language processing techniques for ATS optimization.
Avoid when
- Avoid Resume-Matcher if your team lacks TypeScript knowledge or resources as the tool is based on this programming language.
- Do not choose Resume-Matcher when a web-hosted solution is preferred over local installations due to its emphasis on on-premise execution for enhanced privacy controls.
- Pricing:
- freemium - Available under Apache-2.0 license; possible freemium model based on open-source foundation, with potential premium add-ons or services.
Observed Jul 11, 2026 · Source: enrich:decision_facts
Verify the decision
Adoption
Package downloads where a registry match exists. GitHub stars (28,473) are secondary evidence.
- Docker Hub pulls (30d)
- 10,994·Docker Hub API·Sep 20, 2026
Maintenance and security
Full trust report- Maintenance
- Active (9d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 20, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install Resume-Matcher PyPIHow it fits your stack(1)
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A versatile AI tool designed primarily to handle resume building and parsing using machine learning techniques including text-similarity and word-embeddings.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Sep 20, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Sep 20, 2026
- Languages
- python
Source: github.language · Sep 20, 2026
Categories
Tags
README
Getting Started Resume Matcher works by creating a master resume that you can use to tailor for each job application. Installation instructions here: How to Install How to Install For detailed setup instructions, see SETUP.md (English) or: Español, 简体中文, 日本語. Quick Start Fastest...
For agents
This page has a .md twin and JSON over the API.