The top alternatives to Mem0 in the Memory Layer space, compared on features, pricing, and what they're best at.
Updated March 10, 2026
Mem0 is a Y Combinator-backed memory layer for AI applications founded in 2023 by Taranjeet Singh (ex-Khatabook first growth engineer) and Deshraj Yadav (ex-Tesla Autopilot AI Platform lead). Launched in January 2024, Mem0 raised USD 24 million including USD 3.9 million in seed funding and USD 20 million Series A led by Basis Set Ventures, with participation from Kindred Ventures, Y Combinator, Peak XV Partners, and GitHub Fund. The company serves over 80,000 developers and provides the exclusive memory provider for AWS new Agent SDK. Mem0 offers a free tier with 10,000 memories and 1,000 retrieval calls per month, Pro plans at USD 19-249/month with different memory limits, and custom Enterprise pricing. The platform supports both cloud-hosted and self-hosted deployment options. Graph memory capabilities are only available on Pro plans (USD 249/month) or higher. Mem0 specializes in persistent memory for LLM applications, enabling AI systems to remember context across interactions for improved personalization and continuity.
Letta (formerly MemGPT) is an open-source framework for building AI agents with long-term memory and self-editing capabilities. It implements a virtual context management system that allows LLMs to manage their own memory hierarchy, enabling persistent state, unbounded context, and adaptive memory across conversations.
Zep is a long-term memory service for AI assistants and agents. It stores conversation history, extracts facts and entities, builds temporal knowledge graphs, and enables semantic search across past interactions. Zep helps AI applications recall relevant context from previous conversations, making chatbots and agents feel more natural and personalized. Available as open-source and cloud-hosted.
LangMem is LangChain's long-term memory solution for AI agents. It provides tools for extracting, storing, and retrieving memories from agent interactions, enabling agents to learn and improve over time. LangMem integrates natively with the LangGraph agent framework and supports multiple memory types including semantic, episodic, and procedural memory.
Supermemory is an open-source Second Brain platform that helps users save, organize, and retrieve information using AI. Frequently trending on GitHub, it lets developers build personal knowledge assistants that remember bookmarks, notes, and web content. Popular with the personal AI builder community for creating AI-powered memory layers.
Cognee is an open-source memory management framework for AI applications that builds knowledge graphs from unstructured data. It extracts entities, relationships, and facts from conversations and documents, enabling AI agents to maintain structured long-term memory with semantic retrieval.
Graphiti is an open-source temporal knowledge graph engine built by the Zep team. It creates dynamic, time-aware knowledge graphs from conversational and unstructured data, enabling agents to maintain evolving memory with temporal reasoning. Graphiti powers many agent memory implementations and is often used alongside Zep for graph-based recall.
Automatic memory for AI agents - indexes connected data sources into a memory layer for personalized context.
One platform for routing, observability, tracing, and evals across every LLM provider.