Memanto
Die Langzeitgedächtnisebene, die KI-Agenten lieben – semantisches Gedächtnis, Chat-Verlauf und Wissen für CrewAI, LangChain und RAG.
Überblick
Anforderungen
Empfohlener VPS
Hostinger · KVM 4
4 vCPU · 16384 MB · 200 GB
Hostinger · KVM 4
4 vCPU · 16384 MB · 200 GB
Hostinger · KVM 8
8 vCPU · 32256 MB · 400 GB
Affiliate-Hinweis
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
Verwandte Tools
LangChain
Build context-aware reasoning applications powered by LLMs
Supabase
Open-source Postgres platform for AI apps with vector search, realtime subscriptions & built-in dashboard
RedisStack
Redis with integrated modules for vector search, JSON, and search capabilities
Meilisearch
Lightning-fast search engine with AI-powered hybrid and vector search
PrivateGPT
Chat with your documents privately using LLMs — 100% local, no data leaks
Milvus
High-performance cloud-native vector database for scalable ANN search
Anleitungen & Artikel
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.
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.