head to head · open source

serviette vs shopkeeper-agent

serviette has 58,728 GitHub stars, 1,542 forks, 8 open issues and last shipped 3 days ago. shopkeeper-agent has 505 stars, 148 forks, 3 open issues and last shipped 22 days ago. serviette leads on adoption by 11,529% (58,728 vs 505 stars). serviette is written in Python under MIT; shopkeeper-agent is written in Python under MIT. serviette has attracted 3% as many forks as stars, shopkeeper-agent 29%. serviette was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (llm), so they are genuine substitutes rather than adjacent tools.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

serviette ★ 59K shopkeeper-agent ★ 505 category AI & Machine Learning

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Side by side

serviette shopkeeper-agent
GitHub stars ★ 59K ★ 505
License MIT MIT
Written in Python Python
Last push 2026-11-02 2026-10-14
Forks ⑂ 1.5K ⑂ 148
Self-hosting Yes Yes
Data ownership Your server Your server

pick serviette if

  • You weight community size — 59K stars and counting
  • You want the MIT license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full serviette profile →

pick shopkeeper-agent if

  • You want the shopkeeper-agent feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Python
  • You evaluated both and shopkeeper-agent fits your workflow better

full shopkeeper-agent profile →

About serviette

serviette Looking for llm app templates? All templates, cookbooks and examples are still available in full in the Pathway repository under examples/llm app . A no code, always up to date RAG server for any vector database — built on the Pathway Live Data Framework. Point serviette at a folder of documents, pick a vector database and an embedder in one YAML file, and run two commands: you get a chat and a REST API that answer from those documents and cite their sources. From then on, any change to the documents — an edit, a new file, a deletion — is reflected in the answers within seconds. serviette runs on…

read the full serviette overview →

About shopkeeper-agent

「电商问数」智能数据分析 Agent shopkeeper agent 可能是全网最适合用于系统学习 LangGraph 的智能问数实战项目,配套系统性文字教程与对应章节分支,带你打通混合检索、多阶段推理、SQL 生成与执行全链路 快速开始 • 项目亮点 • 系统架构 • 配套教程 • 加入社群 📚 在线阅读 📢 说明 :本套实战项目已更新完成,配套教程、章节分支和前后端代码均可对照学习。 如果你正在找一个适合学习 LangGraph 、 Qdrant 、 MySQL 、 FastAPI 和 AI Agent 工程开发的实战项目,「电商问数」很可能是最适合你的项目。 它不是只调用一次大模型接口,也不是写几个 Prompt 演示 SQL 生成结果。这个项目围绕电商数仓问数场景,先构建元数据知识库,再做字段、指标、字段取值的混合检索,随后用 LangGraph 编排多阶段问数流程,完成 SQL 生成、校验、修正、执行和前端流式展示。换句话说,你学到的不是某一个框架 API,而是一条 AI 应用从数据准备、检索增强、智能体编排、接口交付到前端联调的完整项目主线。 本套仓库是 ai agents from zero 教程体系中的 实战项目 电商问数 配套源码仓库,除了可直接运行和二次开发的项目代码之外,也提供了与教程章节对应的 Git 分支演进过程,以及完整的在线图文讲义入口。 如果你想系统学习「AI智能体…

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Frequently asked questions

Is serviette or shopkeeper-agent more popular?

serviette has 58,728 GitHub stars and shopkeeper-agent has 505. serviette has the larger community by that measure.

Are serviette and shopkeeper-agent free?

Both are open source. serviette is licensed under MIT and shopkeeper-agent under MIT. Neither carries a licence fee.

What is the difference between serviette and shopkeeper-agent?

serviette is written in Python and shopkeeper-agent in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, serviette or shopkeeper-agent?

Choose serviette if you want the larger community (58,728 stars) or its MIT licence terms. Choose shopkeeper-agent if its feature set, stack or MIT licence fits better. Both are self-hostable.