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Tablestore:AI ecosystem

Last Updated:Nov 07, 2025

Tablestore integrates with various mainstream AI frameworks, platforms, and applications, providing high-performance data storage and retrieval for AI application development. This document describes the AI ecosystem integrations that Tablestore supports.

Agent open-source components

Tablestore for Agent Memory

The Agent Memory SDK is a framework built on Tablestore. It provides general-purpose memory storage and query capabilities for AI agent scenarios. It supports two primary scenarios: real-time memory storage and long-term semantic knowledge retrieval.

MCP protocol integration

The Model Context Protocol (MCP) is a standard protocol for managing the context of AI applications. Tablestore provides multiple MCP service implementations to support various application scenarios.

Tablestore MCP Server

A general-purpose Tablestore MCP service implementation:

Tablestore OpenMemory MCP

A cross-platform AI memory service based on Mem0. It enables intelligent memory sharing and reuse across multiple applications through unified memory storage:

AI framework integration

LlamaIndex

LlamaIndex is a widely used framework for developing large language model (LLM) applications. Tablestore fully supports its core storage components:

  • VectorStore: Stores high-dimensional vectors and supports similarity searches.

  • DocumentStore: Stores and manages original document content.

  • IndexStore: Manages and maintains various types of index metadata.

  • ChatStore: Saves and retrieves chat history.

  • KvStore: Provides general-purpose key-value storage.

LangChain

LangChain is a widely used framework for developing AI applications. Tablestore supports the following component:

LangChain4j

LangChain4j is the Java implementation of LangChain. Tablestore supports the following components:

  • EmbeddingStore: Manages embedding data from text vectorization.

  • MemStore: Manages conversation history and context.

LangEngine

LangEngine is an AI application development framework developed by Alibaba. Tablestore supports the following component:

AgentScope Runtime

AgentScope is an open-source, multi-agent platform from Alibaba. Tablestore supports the following components:

  • TablestoreRAGService: A retrieval-augmented generation (RAG) service that provides document retrieval and knowledge base query capabilities.

  • TablestoreMemoryService: An agent memory service that manages the long-term and short-term memory of agents.

AI application platform integration

Dify

Dify is an open-source LLM application development platform. Tablestore is integrated with the following component:

  • VectorStore: Provides vector retrieval capabilities for RAG applications.

Related documents:

PAI-RAG

PAI-RAG is a RAG application framework provided by Alibaba Cloud's Platform for AI (PAI). Tablestore is integrated with the following component:

  • VectorStore: Provides a high-performance vector retrieval service.

Related document:

Stable Diffusion

Stable Diffusion is a popular AI image generation model that supports scenarios such as text-to-image and image-to-image generation. Tablestore provides integration support for the following component:

  • Image management extension: Manages and organizes generated image resources. This extension is built into Alibaba Cloud Function Compute (FC) applications.