Mem0

Mem0 (pronounced mem-zero) is the most widely adopted AI agent memory framework, backed by $24M from YC, Basis Set Ventures, and Peak XV. It adds a persistent memory layer to any AI agent or assistant with as little as three lines of code using LLM-based extraction and semantic search retrieval. 60,100+ GitHub stars as of July 2026. The core value proposition is eliminating the stateless problem in AI agents. Every time an AI agent starts a new conversation without Mem0, it begins from scratch with no knowledge of previous interactions, user preferences, or established context. Mem0 intercepts conversations, extracts what is worth remembering using an LLM, and stores it in a vector database (or graph database on Pro and above). It then retrieves the most relevant memories at the start of each new session. The result is AI agents that remember users, accumulate knowledge over time, and personalize interactions based on history. AWS selected Mem0 as the exclusive memory provider for their Agent SDK, representing the strongest enterprise validation in the category. Used in production by thousands of teams with native integrations for CrewAI, Flowise, and Langflow. Nineteen vector store backends are supported including Qdrant, Chroma, PGVector, Pinecone, Azure AI Search, and Amazon S3 Vectors. The official OpenMemory MCP server enables direct integration with Claude Desktop, Cursor, and other MCP-compatible AI tools. The Mem0 platform API is language-agnostic and available as Python and Node.js SDKs. Pricing has five tiers. Hobby (free): 10,000 add requests, 1,000 retrieval calls per month, 1 project, community support. Starter ($19/month): 50,000 add requests, 5,000 retrieval calls, 1 project. Growth ($79/month): 200,000 add requests, 20,000 retrieval calls, 3 projects, email support, basic analytics. Pro ($249/month): 500,000 add requests, 50,000 retrieval calls, unlimited projects, graph memory for entity relationship tracking, advanced analytics, and private Slack access. Enterprise (custom pricing): unlimited everything, on-premise deployment, SSO, audit logs, custom integrations, HIPAA BAA, and dedicated SLA. Mem0 is not the right fit for teams that need simple conversation history storage rather than semantic memory. LangChain and LlamaIndex include basic memory primitives for linear conversation history without the semantic extraction layer. Zep serves teams that need structured entity tracking with stronger temporal reasoning benchmarks on certain tasks. Teams building consumer-facing apps where compliance is not required and cost is the primary constraint can start with vector database providers like Pinecone or Qdrant and implement basic memory directly. As of Q3 2026, Mem0 released a new token-efficient memory algorithm in April 2026 built on single-pass hierarchical extraction and multi-signal retrieval. The algorithm improved temporal query performance by 29.6 points and multi-hop reasoning by 23.1 points over the prior version. February 2026 platform updates added temporal search filtering, memory categorization webhooks, and improved semantic ranking recall. HIPAA compliance is self-attested. SOC 2 Type I certification is compliant with the report available on request. SOC 2 Type II audit is in progress. GDPR compliance is in progress. G2 profile is unclaimed with no reviews as of July 2026.