Google Gemini vs Letta
Letta scores higher on the AgentReady, 72/100 against 35/100. They differ on 15 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.
What each one is
Google Gemini. Gemini is Google's AI assistant and conversational AI model.
Letta. Letta is an AI research lab in San Francisco building machines that learn.
Where Letta is ahead
Letta passes clear canonical domain, clear product positioning, public docs discoverable, llms.txt published and llms-full.txt / full agent docs, and Google Gemini does not. That is discover, whether an agent can find the product at all without being told it exists.
It also holds understand: pricing understandable and limits / constraints documented. Google Gemini misses those.
And on adopt, self-service signup, agent-compatible signup flow, free trial or free allowance, fast time to first request and copyable quickstart. Google Gemini misses those.
Finally, on operate, structured, predictable output, observable execution and agent compatibility verified. Google Gemini misses those.
What neither does
Both fail structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, no mandatory sales call, programmatic credential creation, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable. If your agent needs any of those, you will be building it yourself either way.
Score, pillar by pillar
The AgentReady splits into four pillars, scored separately, because a product can be easy to find and still impossible to adopt.
Discover is whether an agent can find the product at all without being told it exists. Letta leads 100 to 53. Google Gemini misses clear canonical domain, clear product positioning, public docs discoverable, llms.txt published, llms-full.txt / full agent docs; Letta misses nothing.
Understand. Letta leads 38 to 23. Google Gemini misses structured api reference, openapi / spec quality, pricing understandable, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; Letta misses structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented.
Adopt. Letta leads 81 to 40. Google Gemini misses self-service signup, no mandatory sales call, agent-compatible signup flow, programmatic credential creation, free trial or free allowance, fast time to first request, copyable quickstart; Letta misses no mandatory sales call, programmatic credential creation.
Operate. Letta leads 67 to 24. Google Gemini misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified; Letta misses machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable.
Pricing
Google Gemini does not publish a machine-readable starting price. Letta starts at $0/mo and has a free tier.
| Google Gemini plans | Letta plans |
|---|---|
| - | Free $0 /month |
| - | Pro $20 /month |
| - | API Plan $20 /month |
| - | Teams Pro $20 /seat/month |
| - | Enterprise Custom |
Signal by signal
| Signal | Google Gemini | Letta |
|---|---|---|
| AgentReady | 35 | 72 |
| Discovery | 53 | 100 |
| Understanding | 23 | 38 |
| Adoption | 40 | 81 |
| Operability | 24 | 67 |
| Public API | Yes | Yes |
| MCP server | Yes | Yes |
| OpenAPI spec | Unknown | Unknown |
| CLI | Yes | Yes |
| llms.txt | Unknown | Yes |
| Self-serve signup | Unknown | Yes |
| Free tier | Unknown | Yes |
Which to pick
Letta clears more of the signals an agent needs, so it is the safer default for unattended use. Full profiles: Google Gemini and Letta. Alternatives to each: Google Gemini, Letta.
An agent can fetch this as data: POST /v1/compare {"slugs": ["gemini", "letta"]}