recruitops-agent MCP Server
849879772/recruitops-agent
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Local-first recruitment intelligence and application operations agent
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849879772/recruitops-agent is a Python tool licensed under MIT. Local-first recruitment intelligence and application operations agent Topics: ai-agent, campus-recruitment, fastapi, mcp, pgvector, playwright, rag, recruitment.
Ranked #12438 out of 24846 indexed tools.
Ecosystem
Python MIT
ai-agentcampus-recruitmentfastapimcppgvectorplaywrightragrecruitment
Score Breakdown
Stars 15% 131
131 stars → growing community
Freshness 25% 1mo ago
Last commit 1mo ago → moderate activity
Issue Health 25% 0%
0/2 issues closed → many open issues
Contributors 10% 1
1 contributor → solo project
Dependents 25% 0
No dependents → no downstream usage
npm Downloads N/A
PyPI Downloads N/A
Forks 9
Description Good
License MIT
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
Description low impact
Freshness high impact
Issue Health high impact
Matched Queries
From the README
# RecruitOps 秋招工作台 > 一个面向校园招聘的 Windows 桌面软件:发现和筛选岗位、补全 JD、匹配评分、辅助投递、维护投递进度、处理招聘邮件,并把笔试、面试和待办统一到一处。 ## 主要功能 | 功能 | 能做什么 | | --- | --- | | 校招岗位发现 | 从招聘聚合来源获取公司和校招入口,持续维护可抓取的官网来源 | | 岗位抓取与 JD 补全 | 抓取岗位列表,先按标题关键词筛选,再补全需要分析的岗位详情 | | 简历解析与匹配评分 | 从简历生成技能、项目摘要和岗位关键词,按个人背景给岗位评分并解释优势与不足 | | 内置招聘浏览器 | 在软件内打开招聘官网、保留登录状态、扫描表单并进行简历闪填 | | 投递记录 | 手动登记或从内置浏览器保存投递,维护已投递、笔试、面试、Offer 和已挂阶段 | | 官网进度复核 | 只复核未挂岗位,读取官方投递记录页并保留阶段证据,不用低优先级信息覆盖已确认进度 | | 招聘邮箱 | 通过只读 IMAP 同步招聘邮件,识别投递、测评、笔试、面试和拒信 | | 日程与待办 | 将有明确时间的招聘事项加入日程,将时间未定的事项保留为待办 | | 求职助理 | 用自然语言查询岗位、处理邮件、复核投递进度、运行抓取和管理定时任务 | | 自动化任务 | 为抓取、评分、邮箱处理和投递复核设置多个每日执行时间,查看执行详情和失败原因 | ## 下载与启动 ### 系统要求 - Windows 10 或 Windows 11,64 位 - 建议至少 8 GB 内存 - 建议预留 3 GB 可用磁盘空间 - 能访问模型 API、招聘网站和邮箱 IMAP 服务的网络 ### 1. 下载桌面版 当前稳定版为 RecruitOps v0.1.7(2026-10-07),请下载 `RecruitOps-v0.1.7.zip`: - [GitHub Releases](https://github.com/849879772/recruitops-agent/releases/tag/v0.1.7) - [Gitee v0.1.7 更新说明](https://gitee.com/zs-k/recruitops-agent/blob/main/docs/RELEASE_v0.1.7.md) - [Read full README on GitHub →
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