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

Mem0

Long-term memory layer for AI apps and agents, helps LLM-powered tools remember user context over time to personalize and cut costs.

Cost

Free Tier, Paid

Rating

★ People love it

Time to value

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

You can use Mem0 when you build AI apps that need to remember things—preferences, past conversations, user details—so they become more helpful and less repetitive. It works via a lightweight API/SDK that compresses memory, reduces token usage, and preserves relevant context across sessions. Ideal for AI tutors, customer support bots, wellness/health assistants, or any LLM agent where personalization matters and keeping full context every time is too expensive.

What Mem0 does

Store and retrieve user information, preferences and past interactionsCompress and maintain memory to reduce token usage and latencySupport hybrid memory datastores (vector, graph, key-value)Allow memory to be versioned, traced, and exported for auditsProvide both hosted and self-hosted (on-prem/private cloud) deployment modesIntegrate with existing LLMs and platforms via SDK/API quicklyMemory Compression Engine that cuts prompt tokens up to ~80%Hybrid datastore: vector, graph, key-value stores to balance speed, relevance, and structureZero-trust deployment options: hosted, on-prem, private cloudTraceability / observability: TTL, versions, exportable memory recordsOpenMemory MCP: local memory management and syncing across tools with privacy controlBenchmarking shows strong accuracy gains + latency reduction vs full-context or memory-less LLMs