melih-unsal/DemoGPT
🤖 Everything you need to create an LLM Agent—tools, prompts, frameworks, and models—all in one place.
Overview
melih-unsal/DemoGPT is a Python agent tool licensed under MIT. 🤖 Everything you need to create an LLM Agent—tools, prompts, frameworks, and models—all in one place. Topics: chatgpt, demo, langchain, llms, streamlit, streamlit-application, chatgpt-api, langchain-python, langchain-app, agent, autogpt, openai, ai, python, artificial-intelligence, autonomous-agents, gpt-4, agents, deepseek, o1.
Ranked #829 out of 25632 indexed tools.
In the top 4% of all indexed tools.
Has 1,885 GitHub stars.
Ecosystem
Python MIT
chatgptdemolangchainllmsstreamlitstreamlit-applicationchatgpt-apilangchain-pythonlangchain-appagentautogptopenaiaipythonartificial-intelligenceautonomous-agentsgpt-4agentsdeepseeko1
Signal Breakdown
Stars 1,885
Freshness 10mo ago
Issue Health 61%
Contributors 6
Dependents 6
Forks 222
Description Good
License MIT
How to Improve
Description low impact
Freshness high impact
Matched Queries
From the README
# 🤖 From Demo to Product: The All-in-One Agent Library <p align="center"> <a href=""></a> </p> <p align="center"> <b>⚡ Everything you need to create an LLM Agent is here. Access a comprehensive suite of tools, prompts, frameworks, and a knowledge hub of LLM models—all in one place to streamline your agent development.</b> </p> <p align="center"> <a href="https://pepy.tech/project/demogpt"></a> <a href="https://github.com/melih-unsal/DemoGPT/releases"></a> <a href="https://demogpt.io"></a> <a href="https://docs.demogpt.io"></a> </p> <p align="center"> <a href="docs/README_CN.md"></a> <a href="README.md"></a> <a href="docs/ROADMAP_CN.md"></a> <a href="docs/ROADMAP.md"></a> <a href="https://opensource.org/licenses/MIT"></a> </p> <p align="center"> <a href="https://github.com/melih-unsal/DemoGPT/issues?q=is%3Aopen+is%3Aissue"></a> <a href="https://github.com/melih-unsal/DemoGPT/issues?q=is%3Aissue+is%3Aclosed"></a> <a href="https://star-history.com/#melih-unsal/DemoGPT"></a> <a href=Read full README on GitHub →
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