Compare Letta with top alternatives in the ai agents category. Find detailed side-by-side comparisons to help you choose the best tool for your needs.
These tools are commonly compared with Letta and offer similar functionality.
AI Agents
Open-source Python framework for orchestrating role-playing, autonomous AI agents that collaborate as a 'crew' to complete complex tasks.
Multi-Agent Builders
Microsoft's open-source framework for building multi-agent AI systems with asynchronous, event-driven architecture.
AI agent framework
LangGraph is LangChain's open-source framework for building stateful, durable, multi-agent workflows in Python and JavaScript with graph-based control flow.
AI Agent Builders
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.
AI agent memory
Memory infrastructure for AI agents and applications, available as an open-source framework and managed platform.
Other tools in the ai agents category that you might want to compare with Letta.
AI Agents
Open-source, general-purpose AI agent framework that runs in a Docker sandbox and learns by writing its own tools.
AI Agents
Open-source multi-agent platform from Alibaba's DAMO Academy for building LLM agents with visual workflows and runtime management.
AI Agents
Microsoft's full managed platform for building, deploying, and scaling enterprise AI agents with native integration into Microsoft 365, Azure services, and 1,400+ business systems through code-first SDK and visual portal experiences
AI Agents
Open-source, extensible AI agent from Block that runs on your machine and orchestrates LLMs, MCP tools, and developer workflows.
AI Agents
Tool-calling infrastructure for AI agents — 1,000+ pre-built integrations with managed OAuth, exposed natively as MCP servers.
💡 Pro tip: Most tools offer free trials or free tiers. Test 2-3 options side-by-side to see which fits your workflow best.
Letta is used to build stateful AI agents that remember information across sessions, manage long-running context, and interact with tools through an API. It is designed for developers building persistent assistants, coding agents, support agents, and agentic applications.
Letta is the platform that evolved from the MemGPT research project and agent design pattern. The company describes Letta as born from MemGPT at UC Berkeley and focused on production stateful agents.
Letta has a Free plan at $0/month with limited agents, limited Letta Auto usage, and support for bring-your-own API keys. Pro is $20/month and includes Letta Auto quota and up to 20 stateful agents. API usage starts at $20/month plus metered usage.
Traditional RAG usually retrieves relevant chunks from a vector store and inserts them into a prompt according to a retrieval rule. Letta adds an agent architecture where the agent can manage memory, choose when to retrieve, update stored context, and persist state across interactions.
Yes. Letta's documentation and pricing materials describe BYOK support, so users can bring their own API keys and route usage through provider accounts instead of relying only on bundled model usage.
Compare features, test the interface, and see if it fits your workflow.