Mem0

Mem0 is drop-in memory infrastructure for AI agents and chatbots. It stores user facts from conversations, compresses them into compact records and retrieves the relevant ones on later requests, cutting repeated context and token spend. SDKs exist for Python and Node.js, with SOC 2, HIPAA and GDPR compliance for enterprise deployments.

Mem0 is a memory layer for AI agents and applications. Rather than treating each conversation as a blank slate, it stores what a user has said and returns the relevant pieces later, so an assistant can recall a dietary restriction, a treatment preference or an earlier support issue without being handed the entire transcript again. The company positions it as drop-in infrastructure for production systems, with over 200,000 developers building on it and a client roster that includes AWS, Adobe, Nvidia, Samsung and Vercel. The mechanics follow three stages. You add input, typically a list of chat messages plus a user identifier, and Mem0 extracts and updates memories from that material. When the application needs context, it runs a search against the memory store with filters such as user_id and gets back the entries that matter. A memory compression engine condenses chat history into compact records, which the company says lowers token usage and latency. Integration options include a Python SDK, a Node.js SDK, an agent harness and a plugin, so the usual route for a chatbot team is to install the SDK and wrap the add and search calls around the model. The product is aimed at engineering teams building assistants, support bots, CRM agents and vertical apps. Mem0 publishes domain examples for healthcare, education, e-commerce, customer support and sales, and cites benchmarks across LoCoMo, LongMemEval and BEAM. Enterprise buyers get governance features: SOC 2 Type 1, HIPAA and GDPR compliance, bring your own key, audit logs for every read and write, and deployment on Kubernetes, private cloud or air-gapped setups. Compared with memory features bundled into a single model provider, Mem0 is model agnostic and keeps memory as a separate service, which suits teams running several agents or switching vendors. The tradeoff is that it is infrastructure, not an end-user chatbot: you still supply the model, the interface and the prompt design. The homepage does not publish prices, so cost has to be confirmed with the sales or signup flow.