Question 1

Is Dstack better than Letta?

Accepted Answer

It depends on your use case. Dstack is known for Open-source engine for running AI workloads on any cloud, while Letta Build stateful AI agents with long-term memory. See our full comparison above for a detailed breakdown.

Question 2

Is Dstack free?

Accepted Answer

Dstack pricing: Free (open-source) + Enterprise.

Question 3

Is Letta free?

Accepted Answer

Letta pricing: Free (open-source) + Cloud.

Question 4

What are the main differences between Dstack and Letta?

Accepted Answer

Dstack and Letta differ in features, pricing, and platform support. Dstack: Open-source engine for running AI workloads on any cloud. Letta: Build stateful AI agents with long-term memory. See the full side-by-side comparison above for details.

Feature	Dstack	Letta
Category	MLOps & Monitoring	AI Agent Frameworks
Pricing	Free (open-source) + Enterprise	Free (open-source) + Cloud
GitHub Stars	5k	✓ More stars 13k
Platforms	Linux, macOS	Linux, macOS, Docker
Key Features	✓ Multi-cloud GPU ✓ Dev environments ✓ Training ✓ Deployment ✓ Cost optimization	✓ Long-term memory ✓ Stateful agents ✓ Tool use ✓ Multi-model ✓ Self-editing memory
Pros	+ Multi-cloud GPU management + Cost optimization + Training + deployment + Open-source + Cloud-agnostic	+ Solves long-term memory problem + Self-editing memory + Stateful agents + Multi-model support + Active research backing
Cons	− Complex configuration − Limited documentation − Smaller community − Requires cloud accounts	− Complex memory management − Performance overhead − Rebranding confusion − Still experimental
Tags	mlopsgpumulti-cloudopen-source	memorystatefulagentsopen-source

DstackvsLetta

Dstack

Letta

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