multimodel-chat

by pypy66 · Agent Tool · ★ 22

About multimodel-chat

一个多合一的AI聊天工具，将ChatGPT、Gemini、LLaMA，以及DeepSeek、讯飞星火、通义千问、kimi等大模型的API集成在同一个工具中。 An all-in-one AI chat tool that integrates APIs of multiple large models, including ChatGPT, Gemini, LLaMA, DeepSeek, iFlytek Spark, Tongyi Qianwen, Kimi, and more, into a single tool.

chatgptclaudedeepseekgeminigenerative-aikimipythonqwensider-ai

Quick Facts

Stars22
Forks4
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score40.3/100
Last Updated2026-01-03
Created2025-04-05
Platformsclaude-code, gemini, python
Est. Tokens~11k

Compatible Skills

These tools work well together with multimodel-chat for enhanced workflows:

  • chatgpt-on-wechat — semantic(0.44)+complementary+rare_topics+same_lang+shared_platform (64%)
  • bridgic — semantic(0.20)+complementary+rare_topics+same_lang+similar_pop+shared_platform (61%)
  • EVA — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (53%)
  • blockrun-agent-wallet — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (51%)
  • skill — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (51%)

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Frequently Asked Questions

What is multimodel-chat?

multimodel-chat is 一个多合一的AI聊天工具，将ChatGPT、Gemini、LLaMA，以及DeepSeek、讯飞星火、通义千问、kimi等大模型的API集成在同一个工具中。 An all-in-one AI chat tool that integrates APIs of multiple large models, including ChatGPT, Gemini, LLaMA, DeepSeek, iFl. It is categorized as a Agent Tool with 22 GitHub stars.

What programming language is multimodel-chat written in?

multimodel-chat is primarily written in Python. It covers topics such as chatgpt, claude, deepseek.

How do I install or use multimodel-chat?

You can find installation instructions and usage details in the multimodel-chat GitHub repository at github.com/pypy66/multimodel-chat. The project has 22 stars and 4 forks, indicating an active community.

What license does multimodel-chat use?

multimodel-chat is released under the MIT license, making it free to use and modify according to the license terms.

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