📢 Announcing our research paper: Zentry achieves 26% higher accuracy than OpenAI Memory, 91% lower latency, and 90% token savings! Read the paper to learn how we're revolutionizing AI agent memory.

Zentry seamlessly integrates with popular AI frameworks and tools to enhance your LLM-based applications with persistent memory capabilities. By integrating Zentry, your applications benefit from:

  • Enhanced context management across multiple frameworks
  • Consistent memory persistence across different LLM interactions
  • Optimized token usage through efficient memory retrieval
  • Framework-agnostic memory layer
  • Simple integration with existing AI tools and frameworks

Here are the available integrations for Zentry:

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Integrations

LangChain

LangChain

Integrate Zentry with LangChain to build powerful agents with memory capabilities.

LlamaIndex

Build RAG applications with LlamaIndex and Zentry.

AutoGen

Build multi-agent systems with persistent memory capabilities.

CrewAI

Develop collaborative AI agents with shared memory using CrewAI and Zentry.

LangGraph

Create complex agent workflows with memory persistence using LangGraph.

Vercel AI SDK

Build AI-powered applications with memory using the Vercel AI SDK.

LangChain

LangChain Tools

Use Zentry with LangChain Tools for enhanced agent capabilities.

Dify

Build AI applications with persistent memory using Dify and Zentry.

MCP Server

Integrate Zentry as an MCP Server in Cursor.

LK

Livekit

Integrate Zentry with Livekit for voice agents.

ElevenLabs

Build voice agents with memory using ElevenLabs Conversational AI.

Pipecat

Build conversational AI agents with memory using Pipecat.

Agno

Build autonomous agents with memory using Agno framework.

Keywords AI

Build AI applications with persistent memory and comprehensive LLM observability.

Raycast

Zentry Raycast extension for intelligent memory management and retrieval.

Mastra

Build AI agents with persistent memory using Mastra’s framework and tools.