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Letta vs Coze

LettaCoze

Bottom line: Letta for teams that need persistent agent memory; Coze for indie builders.

LettaLetta

Stateful AI agents with long-term memory (formerly MemGPT).

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CozeCoze

ByteDance's no-code studio for building and publishing AI chatbots and agents

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Votes00
PricingFreemiumFreemium
CategoryAgent FrameworksAgent Frameworks
Tags
agentsmemoryopen-sourcestateful-agentsllm-framework
no-codechatbot builderragagentsbytedance
Best for
  • Teams that need persistent agent memory
  • Builders of long-running assistants
  • Researchers exploring stateful agents
  • Indie builders
  • Small teams
  • Marketers
Pros
  • Purpose-built for the agent memory problem
  • Strong research pedigree (MemGPT paper)
  • OS-style tiered memory persists across sessions
  • Open-source core, free to self-host
  • Managed Letta Cloud with free and paid tiers
  • Generous free tier with access to strong models
  • Genuinely no-code visual builder
  • Built-in RAG knowledge engine
  • Wide multi-channel publishing options
  • Large plugin and workflow ecosystem
Cons
  • Narrower than general agent frameworks
  • Often used alongside other tooling, not a full stack
  • Renamed from MemGPT, some older docs use old name
  • Cloud pricing and tiers still evolving
  • Python-focused
  • Daily usage limits on lower tiers can constrain heavy use
  • ByteDance ownership raises data-governance concerns for some enterprises
  • Advanced logic still has a learning curve
  • Less enterprise support than incumbent platforms
  • Documentation can lag feature changes

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