Letta vs CrewAI

Detailed side-by-side comparison to help you choose the right tool

Letta

πŸ”΄Developer

AI Agents

Stateful AI agent platform from the MemGPT team, providing long-term memory, tools, and a managed runtime for production agents.

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Starting Price

Free

CrewAI

πŸ”΄Developer

AI Agents

Open-source Python framework for orchestrating role-playing, autonomous AI agents that collaborate as a 'crew' to complete complex tasks.

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Starting Price

Free

Feature Comparison

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FeatureLettaCrewAI
CategoryAI AgentsAI Agents
Pricing Plans327 tiers29 tiers
Starting PriceFreeFree
Key Features
  • β€’ Persistent agents instead of stateless chat sessions
  • β€’ Memory palace for viewing an agent’s memory
  • β€’ Background memory agents / dream agents that refine prompts, context, and skills over time
  • β€’ Workflow Runtime
  • β€’ Tool and API Connectivity
  • β€’ State and Context Handling

πŸ’‘ Our Take

Choose Letta if persistent memory and stateful agents are central to your product, especially when each user or customer needs an agent that remembers over time. Choose CrewAI for simpler role-based multi-agent workflow orchestration.

Letta - Pros & Cons

Pros

  • βœ“Built by the team that invented MemGPT-style stateful memory
  • βœ“Memory blocks are inspectable and editable β€” no black-box embeddings vault
  • βœ“Model-agnostic: switch between Claude, GPT, Gemini, and local Ollama freely
  • βœ“MCP support layers Letta's memory on top of the broader tool ecosystem
  • βœ“Generous Free tier for prototyping stateful agents

Cons

  • βœ—Memory editing adds tokens to every turn β€” costs grow on long sessions
  • βœ—Dashboard debugging is less mature than dedicated tracing tools
  • βœ—Hosted runtime locks you into Letta's data model unless you self-host
  • βœ—Memory tuning still benefits from periodic human-curated summaries

CrewAI - Pros & Cons

Pros

  • βœ“Most opinionated multi-agent framework β€” easy to read, easy to maintain
  • βœ“Free tier includes the full visual Studio editor and 50 executions/month
  • βœ“Trusted by 63% of the Fortune 500 according to CrewAI
  • βœ“MCP-native: crews can consume and expose MCP tools
  • βœ“Enterprise tier has FedRAMP High and dedicated VPC options that competitors lack
  • βœ“Active GitHub community and frequent releases

Cons

  • βœ—Less flexible than LangGraph if you need fine-grained control over state transitions
  • βœ—Free tier capped at 50 workflow executions per month β€” easy to hit
  • βœ—Enterprise pricing is sales-led with no public numbers, making budget planning hard
  • βœ—Hierarchical process can burn tokens fast with a chatty manager agent

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πŸ”’ Security & Compliance Comparison

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Security FeatureLettaCrewAI
SOC2β€”β€”
GDPRβ€”β€”
HIPAAβ€”β€”
SSOβ€”πŸ’ Enterprise
Self-HostedπŸ”€ Hybridβœ… Yes
On-Premβœ… Yesβœ… Yes
RBACβ€”πŸ’ Enterprise
Audit Logβ€”β€”
Open Sourceβœ… Yesβœ… Yes
API Key Authβœ… Yesβœ… Yes
Encryption at Restβ€”β€”
Encryption in Transitβœ… Yesβ€”
Data Residencynot publicly documentedβ€”
Data Retentionconfigurableconfigurable
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