by brucechou1983 · Agent Tool · ★ 95
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Rapidly build and deploy production-ready conversational AI agents using Chainlit and LangGraph. This powerful integration combines state-of-the-art language models with flexible workflow management, enabling developers to create sophisticated chatbots, virtual assistants, and interactive AI applications in minutes. Find a way to run your open source models? This is a free tool for you. Table of Contents Table of Contents Why This Project? Features Getting Started Setting up Ollama (Optional) Creating Custom Workflow Workflows Simple Chat Workflow Multimodal Chat Workflow [Resume Optimizer](#resum
| Stars | 95 |
| Forks | 7 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 35.25/100 |
| Last Updated | 2025-12-19 |
| Created | 2024-04-22 |
| Platforms | python |
| Est. Tokens | ~905k |
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chainlit_langgraph is A seamless integration of Chainlit with LangGraph. Ideal for fast prototyping multi-LLM chatbot or AI agents.. It is categorized as a Agent Tool with 95 GitHub stars.
chainlit_langgraph is primarily written in Python. It covers topics such as ai, ai-integration, anthropic.
You can find installation instructions and usage details in the chainlit_langgraph GitHub repository at github.com/brucechou1983/chainlit_langgraph. The project has 95 stars and 7 forks, indicating an active community.
chainlit_langgraph is released under the MIT license, making it free to use and modify according to the license terms.
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