LangGraph-Chatchat

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LangGraph-Chatchat is an open-source extension for ChatChat that integrates LangGraph’s graph-based memory into conversational agents. It builds and stores knowledge nodes during chat, enabling contextual retrieval and preserving conversation history. Developers can configure memory schemas and retrieval strategies to tailor agent behavior. This plugin enhances agent capabilities by maintaining rich, structured memory for improved long-term conversations and dynamic knowledge management.
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May 04 2025
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LangGraph-Chatchat

LangGraph-Chatchat

0
0
LangGraph-Chatchat
LangGraph-Chatchat is an open-source extension for ChatChat that integrates LangGraph’s graph-based memory into conversational agents. It builds and stores knowledge nodes during chat, enabling contextual retrieval and preserving conversation history. Developers can configure memory schemas and retrieval strategies to tailor agent behavior. This plugin enhances agent capabilities by maintaining rich, structured memory for improved long-term conversations and dynamic knowledge management.
Added on:
Social & Email:
Platform:
May 04 2025
--
Featured

What is LangGraph-Chatchat?

LangGraph-Chatchat functions as a memory management plugin for the ChatChat conversational framework, utilizing LangGraph’s graph database model to store and retrieve conversation context. During runtime, user inputs and agent responses are converted into semantic nodes with relationships, forming a comprehensive knowledge graph. This structure allows efficient querying of past interactions based on similarity metrics, keywords, or custom filters. The plugin supports configuration of memory persistence, node merging, and TTL policies, ensuring relevant context retention without bloat. With built-in serializers and adapters, LangGraph-Chatchat seamlessly integrates into ChatChat deployments, providing developers a robust solution for building AI agents capable of maintaining long-term memory, improving response relevance, and handling complex dialog flows.

Who will use LangGraph-Chatchat?

  • Chatbot developers
  • AI researchers
  • Software engineers
  • Enterprises building conversational AI
  • Educators and students in NLP

How to use the LangGraph-Chatchat?

  • Step1: Clone the LangGraph-Chatchat repository from GitHub.
  • Step2: Navigate into the project directory and install dependencies with npm or yarn.
  • Step3: Configure the plugin by editing the memory schema and adapter settings in config files.
  • Step4: Import and register the LangGraph-Chatchat plugin within your ChatChat setup.
  • Step5: Define TTL, node merging, and persistence policies as needed.
  • Step6: Run ChatChat and monitor the generated graph-based memory during conversations.

Platform

  • web
  • mac
  • windows
  • linux

LangGraph-Chatchat's Core Features & Benefits

The Core Features

  • Graph-based memory storage
  • Contextual retrieval API
  • Configurable memory node schemas
  • TTL and node merging policies
  • ChatChat integration adapter
  • Persistent storage support

The Benefits

  • Enhanced conversation continuity
  • Rich knowledge representation
  • Configurable memory management
  • Scalable for large dialogues
  • Improved agent relevance

LangGraph-Chatchat's Main Use Cases & Applications

  • Customer service chatbots with persistent context
  • Virtual assistants remembering user preferences
  • Research assistants tracking conversation history
  • Educational chatbots for tutoring with memory

FAQs of LangGraph-Chatchat

LangGraph-Chatchat Company Information

LangGraph-Chatchat Reviews

5/5
Do You Recommend LangGraph-Chatchat? Leave a Comment Below!

LangGraph-Chatchat's Main Competitors and alternatives?

  • LangChain Memory modules
  • AI Memory Toolkit
  • MemIT
  • Custom database-based memory plugin

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