Mem0

Mem0 is an AI memory infrastructure layer that enables agents and applications to maintain persistent context across user interactions.

Mem0 is a memory infrastructure for AI agents and applications that continuously learns from past user interactions to enhance intelligence and personalization. It features a memory compression engine that condenses chat history into compact memories to reduce tokens and latency while retaining critical context. The platform supports Python and Node.js SDKs, integrates with agent harnesses and plugins, and runs on private cloud, Kubernetes, or air-gapped environments. It is designed for developers and enterprise teams building applications in healthcare, education, e-commerce, customer support, and sales. Key capabilities include graph memory, memory consolidation, audit logs, and compliance features like SOC 2, HIPAA, and GDPR.

Mem0 at a glance

Best for: Software engineer
Runs on: API, self-hosted
Pricing: Free plan; Starter $19/month; Pro $249/month; Enterprise custom pricing
Released: June 2023
Category: AI agent tool
Website: mem0.ai

Key features

Extract and update memories automatically
Condense chat history into compact memories
Retrieve key memories during user interactions
Support graph memory and entity linking
Provide audit logs for reads and writes
Enable private cloud and on-prem deployment

Use it for

Build a smart patient care assistant for healthcare
Create an adaptive learning tutor for education
Track sales cycles with persistent context
Power customer support agents with session memory

Companion to

Tools whose articles name Mem0 as a companion, each with its job for them.

CrewAI — Mem0: Cross-session memory

Alternatives to Mem0

memU — It gives every connected agent a shared and inspectable memory layer.
Supermemory — Integrates long-term memory into AI coding agents with a single prompt.
MemMachine — Provides long-term persistent memory for LLM-based agents.
Maximem — It delivers fast retrieval and structured memory across frameworks.
ReMe — It enables local-first, file-native long-term memory sharing across multiple AI agents.
Memori — Reduces LLM token usage and spend by over 97% with targeted recall.
MemPalace — Achieves high recall with local-first storage and zero API calls.
Memmy — Shares one persistent memory foundation across your different AI tools.
MemOS — It delivers ultra-persistent memory, hybrid-retrieval, and token savings.
claude-mem — It shares persistent, searchable agent memory across sessions and devices.
Agentmemoryrepo — Enables agents to navigate memories like a wiki and share knowledge across sessions.
Memvid — Single-file architecture replaces complex RAG pipelines with portable storage.

All Mem0 alternatives