diff --git a/topics.md b/topics.md
index 6e84c60..fa2330f 100644
--- a/topics.md
+++ b/topics.md
@@ -16,6 +16,7 @@
 - [azure](#azure)
 - [bash](#bash)
 - [c](#c)
+- [chatbot](#chatbot)
 - [chatgpt](#chatgpt)
 - [chrome](#chrome)
 - [chrome-extension](#chrome-extension)
@@ -216,6 +217,19 @@
 - [ggreer/the_silver_searcher](https://github.com/ggreer/the_silver_searcher) - A code-searching tool similar to ack, but faster.
 - [FFmpeg/FFmpeg](https://github.com/FFmpeg/FFmpeg) - Mirror of https://git.ffmpeg.org/ffmpeg.git
 
+## chatbot 
+
+- [X-PLUG/mPLUG-Owl](https://github.com/X-PLUG/mPLUG-Owl) - mPLUG-Owl: The Powerful Multi-modal Large Language Model  Family
+- [InternLM/xtuner](https://github.com/InternLM/xtuner) - An efficient, flexible and full-featured toolkit for fine-tuning LLM (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)
+- [haotian-liu/LLaVA](https://github.com/haotian-liu/LLaVA) - [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
+- [cpacker/MemGPT](https://github.com/cpacker/MemGPT) - Create LLM agents with long-term memory and custom tools 📚🦙
+- [bigscience-workshop/petals](https://github.com/bigscience-workshop/petals) - 🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
+- [snexus/llm-search](https://github.com/snexus/llm-search) - Querying local documents, powered by LLM
+- [SALT-NLP/LLaVAR](https://github.com/SALT-NLP/LLaVAR) - Code/Data for the paper: "LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding"
+- [stanford-oval/WikiChat](https://github.com/stanford-oval/WikiChat) - WikiChat stops the hallucination of large language models by retrieving data from Wikipedia.
+- [run-llama/rags](https://github.com/run-llama/rags) - Build ChatGPT over your data, all with natural language
+- [microsoft/autogen](https://github.com/microsoft/autogen) - A programming framework for agentic AI 🤖
+
 ## chatgpt 
 
 - [microsoft/generative-ai-for-beginners](https://github.com/microsoft/generative-ai-for-beginners) - 18 Lessons, Get Started Building with Generative AI  🔗 https://microsoft.github.io/generative-ai-for-beginners/