AI & LLMs
coze-studio · Ecosystem Watch
automation in AI & LLMs: TypeScript, Apache-2.0, GitHub stars 21.8k
About this listing
- Role: automation for individuals and small teams cutting repetitive work
- Stack: TypeScript; difficulty medium
- License: Apache-2.0 (permissive)
- Source: GitHub · fetched 2026-11-02
- Activity: last push about 96 days ago
Problem: turns multi-step manual work into rerunnable tasks, focused on Go and RAG. Audience: individuals and small teams cutting repetitive work. Stack & setup: TypeScript, connect triggers and credentials, and add retries and alerts to failure branches, difficulty medium. Difference: public stars are above 1k, showing at least one round of community validation. Risk: permissive terms still require preserving copyright and license notices, and trademark/patent clauses may apply.
A licensed delivery file is generated after payment and downloadable from the delivery page.
Public fact metadata
| License | Apache-2.0 |
|---|---|
| Primary language | TypeScript |
| Platform / topics | GitHub · agent · agent-platform · ai-plugins |
| GitHub stars | 21.8k |
| Last push | 2026-07-29 |
| Source | https://github.com/coze-dev/coze-studio |
| Homepage | unknown (not verified) |
| Docs | https://github.com/coze-dev/coze-studio#readme |
| Demo | unknown (not verified) |
| Verified at | 2026-11-04 |
Fact fields come from public sources; timestamps are shown above. Missing fields are marked unknown and never guessed.
What you get
1 份 Markdown 交付文件，共 9 个章节：
- 一句话定位
- 公开事实元数据（抓取时快照）
- 1. 解决什么问题
- 2. 适用人群
- 3. 技术栈与部署门槛
- 4. 与同类项目的差异
- 5. 已知短板与风险
- 上手路径建议
- 合规与使用边界
Compatibility
| Primary language | TypeScript |
|---|---|
| Platform / topics | agent · agent-platform · ai-plugins |
| License | Apache-2.0 |
FAQ
买到的是什么形式？
一份 Markdown 交付文件，含 9 个章节（一句话定位 / 公开事实元数据（抓取时快照） / 1. 解决什么问题 / 2. 适用人群 等），付款后生成带授权码的下载文件。
许可证是否允许商用？
元数据记录为 Apache-2.0；具体商用范围以原仓库 LICENSE 原文为准，本店不额外授予权利。
项目还在维护吗？
最近一次上游提交：2026-07-29，数据抓取时间 2026-11-04。
需要什么运行环境？
主要语言 TypeScript；其余依赖以包内依赖清单为准。
Comparison
| 商品 | 价格 | License | Last push |
|---|---|---|---|
| machine-learning-for-trading · 项目档案 | ¥2.9 | MIT | 2026-11-03 |
| FinGPT · 上手避坑卡 | ¥2.9 | MIT | 2026-10-25 |
| annotated_deep_learning_paper_implementations · 工程清单卡 | ¥2.9 | MIT | 2026-11-02 |