Best Memory Layer Tools
Tools and frameworks for adding persistent, long-term memory to AI agents and LLM applications. These systems manage conversation history, user preferences, and learned context across sessions, enabling more personalized and context-aware AI interactions.
9 tools compared · Layer 2 · Updated March 10, 2026
Top 5 Memory Layer Tools
Ranked by community traction, recent activity, and breadth of capabilities. Tap any tool for full pros, cons, pricing, and alternatives.
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.
- Long-term memory for AI agents
- Automatic memory extraction from conversations
- User-level and session-level memory
+Strong backing: USD 24M from top VCs including YC and Peak XV
Letta is an innovative AI startup founded by Berkeley PhD students Sarah Wooders and Charles Packer, emerging from stealth in September 2024 with USD 10 million in seed funding led by Felicis. The company originated from the MemGPT research project at UC Berkeley's AI Research Lab and focuses on building stateful AI agents with advanced memory systems that can learn and self-improve over time. Letta's platform enables AI agents to maintain sophisticated memory structures—including entities, facts, and timelines—that can be queried and controlled, providing extreme interpretability with learned information stored as human-readable text.
+Advanced structured memory with entities, facts, and timelines
- Memory infrastructure for AI assistants
- Dialog classification and extraction
- Integration with LangChain and LlamaIndex
+AI memory purpose-built
+Developer-friendly platform
AI platform providing comprehensive solutions for enterprise applications. The platform provides essential capabilities for modern AI applications with focus on scalability and reliability.
+Production-ready
More Memory Layer tools
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.
Memary is an open-source knowledge graph memory system for AI agents. It specializes in building and querying complex reasoning trails rather than simple chat log retrieval, using knowledge graphs to track entities, relationships, and reasoning chains across agent interactions.