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Enterprise Layer Intelligence
Categories/AI Orchestration & MLOps/Mem0
Mem0

Mem0

Founded by Taranjeet Singh (Co-Founder & CEO) & Deshraj Yadav (Co-Founder & CTO) in 2023

Store and retrieve persistent conversational memory across multiple AI agent sessions

Pricing model

Free Tier, Paid

Rating

★ People love it

Time to value

Quick Setup (< 1 hour to integrate basic memory layer)

You can use Mem0 to add long-term memory to autonomous agents and large language model applications. It automatically condenses chat history into compact, structured memories, cutting down token costs and latency while preserving essential context. The system extracts user preferences, facts, and past interactions across sessions and delivers them via Python and Node.js SDKs. It also provides enterprise governance with full audit logging, multi-signal retrieval, and compliance safeguards like SOC 2 and HIPAA to keep user data private and secure across deployments.

What Mem0 does

Store conversational memories with custom user IDsSearch past interaction history using semantic queriesCompress verbose conversation histories into compact factsAudit memory read and write logs for complianceDeploy memory infrastructure onto private Kubernetes clustersRetrieve relevant user preferences before generating LLM responsesMemory compression engine to condense chat historyMulti-signal memory search and retrievalPersistent context across different sessions and agentsSingle-pass hierarchical distillationPython and Node.js SDK supportFull audit logging for every read and write operationSOC 2, HIPAA, and GDPR compliance safeguards

Pricing breakdown

Pricing model: Free tier, Paid

PlanList price
HobbyFree
Starter$19 / mo
Pro$249 / mo

Tutorials & Demos

Frequently asked

PythonPythonNode.jsNode.jsKubernetesKubernetes

Used by

Kamelia Johnson

Kamelia Johnson

Social Media Manager @ d

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Mem0, AI memory, agent memory, LLM memory, vector database, context window, long term memory, Python SDK, Node js SDK, agent state management, retrieval augmented generation, DolphinBench, AI agents, chat history, persistent context