AI Memory

You add a RAG pipeline, you pump in context, and your AI agent still forgets what you told it two turns ago. Sound familiar? That’s because vector search finds documents, not conversation memory. Mem0 takes a different approach — it’s a memory layer that learns what to keep as your agent runs. So here’s what it does differently. Instead of dumping everything into a vector store, Mem0 separates memory into three tiers: short-term (current conversation), working (recent sessions), and long-term (consolidated facts). Each tier gets different deduplication, summarization, and retrieval strategies. ...

Ever asked your AI assistant to remember your preferences, only to have it completely blank on the next chat? Yeah, me too. That’s the dirty secret of most AI agents today — they’re incredibly smart for one conversation, then wake up with amnesia the next time you talk. So enter Mem0 (pronounced “mem-zero”), an open-source memory layer that’s been quietly racking up 25,000+ stars on GitHub and a Y Combinator S24 badge. And it’s not another vector database or a RAG pipeline — it’s a dedicated memory system that sits between your AI app and the LLM, handling the entire lifecycle — extraction, storage, retrieval, and temporal reasoning. ...

You built an AI agent that handles complex workflows — then on the next conversation, it’s a clean slate. No memory of what you discussed, no context carryover. Every session starts at zero. That’s the problem Cognee solves. It’s the open-source AI memory platform (18.4k★, actively maintained) that gives agents persistent long-term memory using a self-hosted knowledge graph. Think structured recall, not just vector embeddings. I pip installed it, checked the API, and ran through the basics. Here’s what I found. ...

Look, LLMs are great at generating text but terrible at remembering what you told them five minutes ago. So every session starts from scratch. And you repeat your preferences, your project context, your API keys — yet the model still drifts off-topic by turn 15. So most “AI memory” tools handle this by keeping everything in RAM or shipping your data to a cloud API. But neither scales well when you’re running multi-session agent workflows. ...

Supermemory Quick Review 2026: AI Memory That Actually Remembers Sure, AI chatbots are great at one thing: forgetting everything you told them two conversations ago. You explain your coding style to Claude. But next session, it’s back to guessing. Supermemory is the open-source fix for that — a memory and context layer that sits between you and your AI tools, and it’s currently ranked #1 on LongMemEval, LoCoMo, and ConvoMem (the three major memory benchmarks). ...