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VoltAgent vs Letta

VoltAgentLetta

Bottom line: VoltAgent for typeScript engineering teams; Letta for teams that need persistent agent memory.

Observability-first open-source TypeScript framework for AI agents

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

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Votes00
PricingFreemiumFreemium
CategoryAgent FrameworksAgent Frameworks
Tags
typescriptagentsopen-sourceobservabilitymcp
agentsmemoryopen-sourcestateful-agentsllm-framework
Best for
  • TypeScript engineering teams
  • Builders needing agent observability
  • Multi-agent system developers
  • Teams that need persistent agent memory
  • Builders of long-running assistants
  • Researchers exploring stateful agents
Pros
  • MIT-licensed, free and open-source
  • TypeScript-native for JS/TS teams
  • Observability built in via VoltOps
  • Supports MCP, RAG, memory, guardrails
  • Multi-agent orchestration
  • 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
Cons
  • Younger ecosystem than top frameworks
  • TypeScript-only, no Python
  • Smaller community and fewer examples
  • VoltOps adds another component to manage
  • Rapidly evolving APIs
  • 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

Comparison generated from each tool's listing. Add or remove tools above to change it.