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Letta vs Sambanova

Letta scores higher on the AgentReady, 72/100 against 48/100. They differ on 12 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Letta. Letta is an AI research lab in San Francisco building machines that learn.

Sambanova. SambaNova is an AI infrastructure company pushing the AI frontier with premium inference, maximizing dataflow efficiency with high speed and sustained throughput for running the largest models.

Where Letta is ahead

Letta passes public docs discoverable and llms-full.txt / full agent docs, and Sambanova 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. Sambanova misses those.

And on adopt, self-service signup, agent-compatible signup flow, free trial or free allowance, fast time to first request and cli available. Sambanova misses those.

Finally, on operate, structured, predictable output and agent compatibility verified. Sambanova misses those.

Where Sambanova is ahead

Sambanova passes structured api reference, and Letta does not. That is understand, whether an agent can read the docs and work out how the API behaves before calling it.

What neither does

Both fail 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. Letta leads 100 to 80. Letta misses nothing; Sambanova misses public docs discoverable, llms-full.txt / full agent docs.

Understand. Both sit at 38/100 here. Letta misses structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented; Sambanova misses openapi / spec quality, pricing understandable, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.

Adopt is whether an agent can get a key and make its first successful call without a human in the loop. Letta leads 81 to 40. Letta misses no mandatory sales call, programmatic credential creation; Sambanova 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, cli available.

Operate. Letta leads 67 to 35. Letta misses machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable; Sambanova misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified.

Pricing

Letta starts at $0/mo and has a free tier. Sambanova does not publish one.

Signal by signal

Which to pick

Letta clears more of the signals an agent needs, so it is the safer default for unattended use. Full profiles: Letta and Sambanova. Alternatives to each: Letta, Sambanova.

An agent can fetch this as data: POST /v1/compare {"slugs": ["letta", "sambanova"]}