Master Letta (formerly MemGPT) with our step-by-step tutorial, detailed feature walkthrough, and expert tips.
Sign up for a free Letta Cloud account at letta.com Install the Letta CLI using pip install letta for local development Create your first stateful agent and configure memory settings Connect a supported model provider using your own API keys or a Letta
supported plan Start a conversation and review how the agent stores and updates memory
💡 Quick Start: Follow these 2 steps in order to get up and running with Letta (formerly MemGPT) quickly.
Explore the key features that make Letta (formerly MemGPT) powerful for ai memory & search workflows.
Letta is best suited for AI agents that need continuity across sessions rather than one-off responses. Practical examples include customer assistants that remember prior issues, research agents that maintain source notes, and developer assistants that retain project context.
Letta is focused on stateful agents and persistent memory, while frameworks like LangChain and Semantic Kernel are broader tools for building LLM workflows. Teams may use Letta when memory is the defining requirement rather than general orchestration.
The existing directory record indicates that Letta offers both cloud-hosted and self-hosted deployment options. Self-hosting is most relevant for teams that need greater control over infrastructure, data handling, or model-provider configuration.
Letta has a free tier at $0/month with 5,000 monthly credits, API access, visual agent editing in the ADE, 2 agent templates, and 1 GB of storage. The API Plan is listed at $20/month and includes unlimited agents, with additional usage-based charges.
Persistent memory can make agents more useful, but it also creates product and governance risks. Stored memories may become outdated, incorrect, overly sensitive, or misapplied, so teams should design review, correction, and deletion workflows.
Now that you know how to use Letta (formerly MemGPT), it's time to put this knowledge into practice.
Sign up and follow the tutorial steps
Check pros, cons, and user feedback
See how it stacks against alternatives
Follow our tutorial and master this powerful ai memory & search tool in minutes.
Tutorial updated March 2026