resonant vs letta
resonant: Resonant is a persistent, autonomous AI companion framework that runs on your own machine. It maintains sessions across restarts, reaches out on its own using agent-directed autonomy, and integrates with multiple platforms including web, Discord, Telegram, and voice. Its memory and personality are fully configurable through natural-language artifacts, and it uses hooks to inject context before every interaction.; 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.
TL;DR
Personal AI companion for daily conversation and emotional support
- 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.
Side-by-Side Comparison
resonantlettaFeatures
resonantlettaUse Cases
resonantlettaBest For
resonantlettaFAQ
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