Mem0 is a memory infrastructure layer built for AI agents and applications that need to retain context across sessions. Without something like this, every conversation starts from scratch, forcing developers to stuff redundant history into prompts or lose personalization entirely. Mem0 solves that by extracting, storing, and retrieving memories automatically as users interact.

The core idea is simple: you send messages to Mem0, it learns from them, and later retrieves the relevant context when needed. No boilerplate configuration required. It fits into existing agent architectures without restructuring your pipeline.

Key capabilities include:

• Memory Compression Engine that condenses chat history into compact, token-efficient memories, cutting latency and API costs
• Multi-signal retrieval that surfaces the right memories at the right time, benchmarked on LoCoMo, LongMemEval, and BEAM datasets
• User-scoped memory so each user's preferences, history, and context stay separate and addressable by ID
• Full audit logging with visibility into every read and write, including who accessed what and when
• Flexible deployment across Kubernetes, private cloud, or air-gapped environments with a consistent API
• Compliance at the enterprise level: SOC 2 (Type 1), HIPAA, BYOK, and zero-trust architecture

Mem0 is particularly well-suited for products where personalization compounds over time: healthcare assistants that track patient history, customer support bots that remember past issues, or AI chat interfaces that need to feel consistent across sessions. It also works well as the memory backend for more complex agent frameworks that handle multi-step reasoning but lack native persistence.

Over 90,000 developers use it in production. The SDK supports Python and Node.js, and the managed API makes it easy to get started without self-hosting. For teams that need full control, self-hosted deployment is available with the same API surface.

Transform your AI applications with blazing-fast long-term memory that delivers sub-300ms recall times. Supermemory provides a universal memory API that works seamlessly across all LLM models and modalities.

Key benefits include:

• 10x faster recall than competitors like Zep, with 25x speed improvement over Mem0
• 70% cost reduction compared to traditional memory infrastructure
• Human-like memory evolution with automatic updates, forgetfulness, and contextual understanding
• Enterprise-ready security with SOC 2 compliance and flexible deployment options

The platform handles multimodal data ingestion from files, documents, chats, emails, and app streams with automatic cleaning and chunking. Advanced embeddings and graph-based enrichment create smart, interconnected memories that scale effortlessly.

Integration is simple - drop Supermemory into your existing stack with SDKs for OpenAI, Anthropic, AI SDK, and Cloudflare. Connect to popular platforms like Google Drive, Notion, and OneDrive to sync user context automatically.

Perfect for developers building personalized AI experiences, search engines, content libraries, and knowledge management systems. Start free with 1M tokens processed and 10K search queries, then scale as your memory becomes your competitive advantage.