Complete pricing guide for Letta. Compare all plans, analyze costs, and find the perfect tier for your needs.
Not sure if free is enough? See our Free vs Paid comparison →
Still deciding? Read our full verdict on whether Letta is worth it →
month
Usage-based
month
Unlimited
Pricing sourced from Letta · Last verified March 2026
Letta is the production platform that evolved from the MemGPT research project. The core concept (LLM-managed virtual memory) is the same, but Letta adds a server architecture, REST API, ADE, multi-agent support, and production deployment features that weren't in the original MemGPT.
RAG retrieves relevant documents using vector similarity. Letta gives the agent active control over its memory — it decides what to store, search, update, and forget. RAG is passive retrieval; Letta is active memory management. They can be complementary, with archival memory functioning like a RAG-accessible store.
Yes. Letta supports OpenAI, Anthropic, local models via Ollama or vLLM, and other providers. However, self-directed memory management requires strong instruction-following capabilities, so smaller open-source models may not manage memory as effectively as GPT-4 or Claude.
It's being used in production by some teams, particularly for persistent assistant use cases. The server architecture is designed for production, but some features are still maturing. Evaluate carefully for your specific use case and plan for the operational complexity of running stateful agent servers.
AI builders and operators use Letta to streamline their workflow.
Try Letta Now →Open-source Python framework that orchestrates autonomous AI agents collaborating as teams to accomplish complex workflows. Define agents with specific roles and goals, then organize them into crews that execute sequential or parallel tasks. Agents delegate work, share context, and complete multi-step processes like market research, content creation, and data analysis. Supports 100+ LLM providers through LiteLLM integration and includes memory systems for agent learning. Features 48K+ GitHub stars with active community.
Compare Pricing →Microsoft's open-source framework for building multi-agent AI systems with asynchronous, event-driven architecture.
Compare Pricing →Graph-based workflow orchestration framework for building reliable, production-ready AI agents with deterministic state machines, human-in-the-loop capabilities, and comprehensive observability through LangSmith integration.
Compare Pricing →SDK for building AI agents with planners, memory, and connectors. - Enhanced AI-powered platform providing advanced capabilities for modern development and business workflows. Features comprehensive tooling, integrations, and scalable architecture designed for professional teams and enterprise environments.
Compare Pricing →Mem0: Universal memory layer for AI agents and LLM applications. Self-improving memory system that personalizes AI interactions and reduces costs.
Compare Pricing →