Compare

Deepset vs Letta

Letta scores higher on the AgentReady, 72/100 against 44/100. They differ on 11 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Deepset. Deepset is a company that provides Haystack, an open platform to build, run, and govern AI agents and applications.

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

Where Letta is ahead

Letta passes clear product positioning, public docs discoverable and llms-full.txt / full agent docs, and Deepset does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds understand: authentication documented and limits / constraints documented. Deepset misses those.

And on adopt, agent-compatible signup flow, fast time to first request, copyable quickstart and official typescript sdk. Deepset misses those.

Finally, on operate, structured, predictable output and agent compatibility verified. Deepset 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 67. Deepset misses clear product positioning, public docs discoverable, llms-full.txt / full agent docs; Letta misses nothing.

Understand. Letta leads 38 to 23. Deepset misses structured api reference, openapi / spec quality, authentication documented, 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 50. Deepset misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, fast time to first request, copyable quickstart, official typescript sdk; Letta misses no mandatory sales call, programmatic credential creation.

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

Pricing

Deepset starts at $0/mo and has a free tier. Letta starts at $0/mo and has a free tier.

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: Deepset and Letta. Alternatives to each: Deepset, Letta.

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