AI Infrastructure · GitHub ·36 ★

AI-Recruitment-Agent

A multi-agent recruitment assistant that leverages Microsoft AutoGen framework to streamline hiring processes. The system employs specialized AI agents working in concert to automate resume screening, candidate evaluation, and interview preparation.

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Details

Author
Ancastal
Category
AI Infrastructure
Platform
GitHub
Framework
autogen
Language
python
Stars
36
First indexed
2026-05-15
Last active
2025-02-12
Directory sync
2026-05-15
@Ancastal

Overview

A multi-agent recruitment assistant that leverages Microsoft AutoGen framework to streamline hiring processes. The system employs specialized AI agents working in concert to automate resume screening, candidate evaluation, and interview preparation.

Quick start

git

git clone https://github.com/Ancastal/AI-Recruitment-Agent

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What AI-Recruitment-Agent can do

frameworkragassistant
  • Framework — framework task automation.
  • Rag — Retrieves grounded context before answering.
  • Assistant — Acts as a personal helper for everyday tasks.

Frequently asked questions

What is AI-Recruitment-Agent?
A multi-agent recruitment assistant that leverages Microsoft AutoGen framework to streamline hiring processes. The system employs specialized AI agents working in concert to automate resume screening, candidate evaluation, and interview preparation.
How do I install AI-Recruitment-Agent?
Use git: `git clone https://github.com/Ancastal/AI-Recruitment-Agent`. Full setup details on the source page linked above.
Is AI-Recruitment-Agent open source?
AI-Recruitment-Agent is published on GitHub.
What are alternatives to AI-Recruitment-Agent?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for AI-Recruitment-Agent is sourced from GitHub, published by Ancastal.

Last scraped: · First indexed:

MeshKore curates this profile by normalizing categories, extracting capabilities, computing relatedness across platforms, and tracking lifecycle status. The source platform retains all rights to the underlying content. See methodology.