letta vs statelessagent
letta: Letta is a powerful platform for building stateful AI agents equipped with advanced memory, enabling them to learn and self-improve over time. It provides both a command-line interface for local agent execution and a comprehensive API with Python and TypeScript SDKs for seamless integration into applications.; statelessagent: SAME gives every AI coding tool persistent memory, allowing it to remember decisions, handoffs, and context across sessions. It indexes markdown notes, surfaces relevant context automatically, and works with multiple AI assistants like Claude Code, Cursor, and Windsurf. Fully local, no cloud, no telemetry.
TL;DR
- You want a long-lived agent that remembers past work and rewrites its own memory and context over time.
- You want one agent reachable from CLI, desktop, browser, mobile and messaging apps, with subagents, schedules and hooks.
- You want memory you can inspect: the README says context is tracked in git and can sync to your own repository.
- You only need to add memory to an agent you already use through MCP; a small MCP memory server is a lighter fit.
- You rely on older Letta tutorials or the V1 API server: the project restructured, and the V1 server is retired.
- You want everything to work without signing in: Letta Cloud is the default backend and some features need it.
Maintain project context across AI coding sessions
Side-by-Side Comparison
lettastatelessagentFeatures
lettastatelessagentUse Cases
lettastatelessagentBest For
lettastatelessagentFAQ
Deploy on DigitalOcean
Host your MCP servers, Docker containers, and AI agents with $200 free credit over 60 days.