by melih-unsal · AI 工具 · ★ 1.9k
🤖 Create Agents in a Second - with the Best Tools, RAG, Knowledge Graph and Vector Databases ⚡ 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. 📑 Table of Contents Introduction Architecture Installation Usage Package Version Python Interface Source Code Version DemoGPT AgentHub Installation Creating Tools Available Tools Creating an Agent Using an Agent Available Agent Types Using ReactAgent Using RAG Combining RAG with Agents To-Do...
| Stars | 1,909 |
| Forks | 224 |
| Language | Python |
| Category | AI 工具 |
| License | MIT |
| Quality Score | 63.9051902130918/100 |
| Open Issues | 10 |
| Last Updated | 2026-04-01 |
| Created | 2023-06-07 |
| Platforms | python |
| Est. Tokens | ~1707k |
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DemoGPT is 🤖 Everything you need to create an LLM Agent—tools, prompts, frameworks, and models—all in one place.. It is categorized as a AI 工具 with 1.9k GitHub stars.
DemoGPT is primarily written in Python. It covers topics such as agent, agents, ai.
You can find installation instructions and usage details in the DemoGPT GitHub repository at github.com/melih-unsal/DemoGPT. The project has 1.9k stars and 224 forks, indicating an active community.
DemoGPT is released under the MIT license, making it free to use and modify according to the license terms.