Google Jules vs Letta Code

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

Google Jules

🔴Developer

AI coding agent

Google’s asynchronous coding agent that works on development tasks, bug fixes, and code changes using repository context.

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Starting Price

Custom

🔴Developer

AI Coding Agent

Memory-first coding agent that persists across sessions and is portable across models — from the team behind MemGPT.

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Starting Price

Custom

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Feature	Google Jules	Letta Code
Category	AI coding agent	AI Coding Agent
Pricing Plans	147 tiers	6 tiers
Starting Price
Key Features	• Assign coding work from a selected GitHub repository and branch • Issue workflow that can use a “jules” label to assign tasks directly in GitHub • Cloud VM execution where Jules fetches and clones the repository before planning changes

✓Good fit for async engineering work where a developer can review a completed branch or patch
✓Less disruptive than chat-only coding because work can run in the background
✓Repository context makes it more practical than generic prompt-and-paste coding help

✗Dollar pricing was not visible from the fetched homepage, and /pricing returned 404, even though plan quotas were visible.
✗Still needs human code review; async agents can make plausible but incorrect architectural choices.
✗Requires GitHub repository access, so permissions, labels, branch protections, and audit expectations need careful setup.

✓Persistent memory is genuinely different from every other coding agent in the category
✓Model portability is a real escape hatch from vendor lock-in
✓Free tier with BYOK means you can evaluate the entire harness without committing budget
✓Headless mode + GitHub Action means the same agent works in CI as on your laptop
✓Built by the MemGPT team — most credible memory research lineage in the space

✗Newer than Claude Code or Cursor; ecosystem of community Skills is still small
✗Memory layer adds operational complexity if you're used to ephemeral sessions
✗Letta Auto pricing isn't transparent on the public site at time of writing
✗Desktop app polish trails Cursor's; some workflows still require dropping to the CLI

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