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Inngest AgentKit vs Letta

Inngest AgentKitLetta

Bottom line: Inngest AgentKit for typeScript teams on Inngest; Letta for teams that need persistent agent memory.

Inngest AgentKitInngest AgentKit

TypeScript multi-agent networks with deterministic routing and MCP

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LettaLetta

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

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Votes00
PricingFreemiumFreemium
CategoryAgent FrameworksAgent Frameworks
Tags
typescriptmulti-agentorchestrationmcpdurable-execution
agentsmemoryopen-sourcestateful-agentsllm-framework
Best for
  • TypeScript teams on Inngest
  • Fault-tolerant agent workflows
  • Multi-agent orchestration
  • Teams that need persistent agent memory
  • Builders of long-running assistants
  • Researchers exploring stateful agents
Pros
  • Open-source TypeScript library
  • Deterministic, flexible routing
  • Typed Network State machine
  • Native MCP tooling support
  • Durable execution via Inngest
  • 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
  • Best value tied to Inngest ecosystem
  • TypeScript-only
  • Younger than some frameworks
  • Durable features imply Inngest adoption
  • Smaller community than largest frameworks
  • 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

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