AI Memory & Context Management Systems

LangGraph is an open-source framework for building stateful multi-agent AI applications, providing persistent memory, checkpointing and context management for long-running AI workflows.

Letta provides infrastructure for deploying stateful AI agents with persistent memory, enabling organizations to build AI systems that learn and remember across thousands of user interactions.

Mem0 provides a memory layer for AI applications, enabling LLMs to remember user preferences, past interactions and context across sessions for truly personalized AI experiences.

Zep AI is a memory and data management platform for AI agents, providing fast retrieval of long-term conversation history, user facts and enterprise knowledge for production agentic applications.

MemGPT is an open-source system enabling LLMs to manage their own memory across unlimited context, using hierarchical storage to give AI agents persistent long-term memory capabilities.

Chroma is an open-source AI-native embedding database providing simple and fast vector storage for developers building memory-augmented AI applications and RAG-powered systems.

Pinecone is a managed vector database purpose-built for AI applications, providing fast and accurate long-term memory retrieval for RAG pipelines and context-aware AI systems at scale.

Weaviate is an open-source vector database powering AI memory and context retrieval, enabling applications to store and query high-dimensional embeddings for accurate long-term AI recall.