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Memanto

The long-term memory layer that AI agents love — semantic memory, chat history, and knowledge for CrewAI, LangChain, and RAG.

★ 1,796 GitHub MIT memoryragai-agentslangchaincrewaisemantic-memoryvector-database RAG & Knowledge

Overview

Memanto is an open-source long-term and semantic memory layer built for AI agents. It gives CrewAI, LangChain, and RAG pipelines a persistent brain: agents can remember past conversations, recall facts semantically, and reuse knowledge across sessions instead of starting from scratch every time. Memanto ships with a web UI for browsing and managing memories, Docker-based self-hosting, an on-premises architecture for full data control, and simple integration via REST API or SDK. MIT-licensed and free to self-host.

Requirements

Min vCPU
2
Min RAM
4096 MB
Min Disk
10 GB
Rec vCPU
4
Rec RAM
8192 MB
Rec Disk
20 GB

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Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  memanto:
    image: moorcheh/memanto:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/memanto:/data

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Guides & articles

Self-Host Memanto with Docker: Complete Setup Tutorial

Step-by-step tutorial: deploy the Memanto Docker image, open the web UI, connect CrewAI/LangChain agents, and run fully on-premises for data control.

Aug 15, 2026

Memanto Guide: Give Your AI Agents a Long-Term Memory

Memanto is an open-source semantic memory layer for AI agents — CrewAI, LangChain, and RAG pipelines get persistent memory, semantic recall, and a web UI. Full guide inside.

Aug 15, 2026