AI & LLMs
langchain · Decision Memo
LLM application in AI & LLMs: Python, MIT, GitHub stars 148.9k
About this listing
- Role: LLM application for developers and small teams building AI prototypes
- Stack: Python; difficulty medium
- License: MIT (permissive)
- Source: GitHub · fetched 2026-11-02
- Activity: pushed within 0 days
Problem: provides ready-made model access, prompt orchestration or retrieval layers, focused on AI 能力 and LangChain. Audience: developers and small teams building AI prototypes. Stack & setup: Python, configure the endpoint and key, and watch token cost, rate limits and data-residency rules, difficulty medium. Difference: it ships under MIT (permissive), which makes the licensing position relatively clear. 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 | MIT |
|---|---|
| Primary language | Python |
| Platform / topics | GitHub · agents · ai · ai-agents |
| GitHub stars | 149.0k |
| Last push | 2026-11-04 |
| Source | https://github.com/langchain-ai/langchain |
| Homepage | https://docs.langchain.com/langchain/ |
| Docs | https://github.com/langchain-ai/langchain#readme |
| Demo | https://docs.langchain.com/langchain/ |
| 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 | Python |
|---|---|
| Platform / topics | agents · ai · ai-agents |
| License | MIT |
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 MIT；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：2026-11-04，数据抓取时间 2026-11-04。
需要什么运行环境？
主要语言 Python；其余依赖以包内依赖清单为准。
Comparison
| 商品 | 价格 | License | Last push |
|---|---|---|---|
| ECC · 深度导读卡 | ¥4.9 | MIT | 2026-11-02 |
| firecrawl · 深度导读卡 | ¥4.9 | AGPL-3.0 | 2026-11-04 |
| ponytail · 深度导读卡 | ¥4.9 | MIT | 2026-10-29 |