by pasonk · Agent Tool · ★ 79
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AI-CHATKIT English | 中文 AI-CHATKIT is a full-stack AI agent chat tool built using components such as langGraph, FastAPI, NextJS, and Chroma. This project serves as a template to help you quickly build related AI agent chat applications using the langGraph framework, and supports RAG (Retrieval-Augmented Generation) to enhance the knowledge base Q&A capabilities of agents. multi-agent: Features AI agent chat application built on the langGraph framework, supporting custom behavior logic orchestration for agents. Supports custom knowledge base Q&A capabilities for agents, using ChromaDB for knowledge base storage and querying. Supports custom tool invocation for agents. Python backend interface API, implemented based on FastAPI, Support full asynchronous calls. Supports custom frontend applications for agents, implemented using NextJS. Supports chat streaming output, with frontend support for SSE (Server-Sent Events) streaming. Supports multiple custom agents Support multi-agent collaboration Chat history is saved in the local browser cache Structure : Backend service code : Frontend service code Quick Start Backend Service Backend .env file con
| Stars | 79 |
| Forks | 68 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 69.209758844313/100 |
| Open Issues | 3 |
| Last Updated | 2025-08-21 |
| Created | 2025-06-13 |
| Platforms | python |
| Est. Tokens | ~304k |
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ai-chatkit is A full-stack ai agent chat project, built with langgraph+fastapi+nextjs, supporting tool invocation and RAG knowledge base. It is categorized as a Agent Tool with 79 GitHub stars.
ai-chatkit is primarily written in Python. It covers topics such as ai, ai-agents, chatbot.
You can find installation instructions and usage details in the ai-chatkit GitHub repository at github.com/pasonk/ai-chatkit. The project has 79 stars and 68 forks, indicating an active community.
The top alternatives to ai-chatkit on Agent Skills Hub include weam, open-extract, c4-genai-suite. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.