Mem0 is a memory layer designed for modern AI agents. It acts as a persistent memory layer that agents can use to:
It gives AI agents memory so they can remember, learn, and evolve across interactions. Mem0 integrates easily into your agent stack and scales from prototypes to production systems.
Most current agents are stateless: they process a query, generate a response, and forget everything. Even with huge context windows, everything resets the next session.
Stateful agents, powered by Mem0, are different. They retain context, recall what matters, and behave more intelligently over time.
Stateless vs Stateful Agent
Mem0 sits alongside your retriever, planner, and LLM. Unlike retrieval-based systems (like RAG), Mem0 tracks past interactions, stores long-term knowledge, and evolves the agent’s behavior.
Memory in Agent Architecture
Memory is not about pushing more tokens into a prompt but about intelligently remembering context that matters. This distinction matters:
Capability | Context Window | Mem0 Memory |
---|---|---|
Retention | Temporary | Persistent |
Cost | Grows with input size | Optimized (only what matters) |
Recall | Token proximity | Relevance + intent-based |
Personalization | None | Deep, evolving profile |
Behavior | Reactive | Adaptive |
RAG (Retrieval-Augmented Generation) is great for fetching facts from documents. But it’s stateless. It doesn’t know who the user is, what they’ve asked before, or what failed last time.
Mem0 provides continuity. It stores decisions, preferences, and context—not just knowledge.
Aspect | RAG | Mem0 Memory |
---|---|---|
Statefulness | Stateless | Stateful |
Recall Type | Document lookup | Evolving user context |
Use Case | Ground answers in data | Guide behavior across time |
Together, they’re stronger: RAG informs the LLM; Mem0 shapes its memory.
Mem0 supports different kinds of memory to mimic how humans store information:
Mem0 isn’t a wrapper around a vector store. It’s a full memory engine with:
You plug Mem0 into your agent framework, it doesn’t replace your LLM or workflows. Instead, it adds a smart memory layer on top.
Mem0 offers two powerful ways to leverage our technology: our managed platform and our open source solution.
Integrate Mem0 in a few lines of code
Mem0 in action
See what you can build with Mem0
If you have any questions, please feel free to reach out to us using one of the following methods: