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AI & LLMs

gpt-researcher · Navigator Review

agent / toolchain in AI & LLMs: Python, Apache-2.0, GitHub stars 30.4k

¥3.9 一次性

About this listing

Problem: wires model calls, tool routing and context handling into one executable loop, focused on AI 能力 and MCP. Audience: developers integrating models into real toolchains. Stack & setup: Python, prepare an API key or local inference endpoint, register tools and scopes, then dry-run in a sandbox, difficulty medium-high. Difference: it appears in 2 sources (GitHub, GitHub), so more than one catalog considers it usable. 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

LicenseApache-2.0
Primary languagePython
Platform / topicsGitHub · agent · ai · automation
GitHub stars30.5k
Last push2026-10-10
Sourcehttps://github.com/assafelovic/gpt-researcher
Homepagehttps://gptr.dev
Docshttps://github.com/assafelovic/gpt-researcher#readme
Demohttps://gptr.dev
Verified at2026-11-04

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:

  1. 一句话定位
  2. 公开事实元数据(抓取时快照)
  3. 1. 解决什么问题
  4. 2. 适用人群
  5. 3. 技术栈与部署门槛
  6. 4. 与同类项目的差异
  7. 5. 已知短板与风险
  8. 上手路径建议
  9. 合规与使用边界

Compatibility

Primary languagePython
Platform / topicsagent · ai · automation
LicenseApache-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:2026-10-10,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

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generative-ai-for-beginners · 决策备忘卡¥3.9MIT2026-11-02

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