Dify vs Letta

<p>Dify enables you to rapidly design sophisticated AI applications and workflows through a drag-and-drop no-code interface. It supports integration with any large language models worldwide, including open-source and proprietary, allowing you to build diverse, evolving AI-powered tools. The platform also offers robust backend-as-a-service support, making deployment hassle-free and scalable from day one.</p> <p>Targeted at ambitious teams and enterprise users, Dify helps you bridge your systems and data through native MCP integrations and vector databases, simplifying AI agent development and accelerating citizen development. With features like RAG pipelines, plugin support, and universal MCP server publishing, it expands your AI application capabilities while ensuring security and reliability for business-critical solutions.</p>

<p>Letta is an innovative AI development platform designed to create intelligent agents with real memory and continual learning capabilities. You can build AI agents that retain knowledge, learn from their experiences, and self-improve, reducing the limitations of traditional AI models that struggle to remember past interactions.</p> <p>The platform offers tools such as Letta Code, a model-agnostic coding agent, and Letta API for managing agent memory and context. Whether you are building production-ready AI or conducting cutting-edge AI research, Letta supports your efforts with a focus on memory-first AI and sleep-time compute to power smarter, always-on AI systems.</p>