Langfuse vs Letta
Letta scores higher on the AgentReady, 72/100 against 57/100. They differ on 5 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.
What each one is
Langfuse. Langfuse is an open-source AI engineering platform that helps teams collaboratively debug, analyze, and iterate on their AI agent applications.
Letta. Letta is an AI research lab in San Francisco building machines that learn.
Where Letta is ahead
Letta passes clear canonical domain, and Langfuse 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. Langfuse misses it.
And on adopt, agent-compatible signup flow. Langfuse misses it.
Finally, on operate, structured, predictable output and agent compatibility verified. Langfuse 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. Letta leads 100 to 93. Langfuse misses clear canonical domain; Letta misses nothing.
Understand. Letta leads 38 to 31. Langfuse misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes 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 70. Langfuse misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation; Letta misses no mandatory sales call, programmatic credential creation.
Operate is whether an agent can run against it in production and recover when a call fails. Letta leads 67 to 35. Langfuse 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
Langfuse does not publish a machine-readable starting price and has a free tier. Letta starts at $0/mo and has a free tier.
| Langfuse plans | Letta plans |
|---|---|
| - | Free $0 /month |
| - | Pro $20 /month |
| - | API Plan $20 /month |
| - | Teams Pro $20 /seat/month |
| - | Enterprise Custom |
Signal by signal
| Signal | Langfuse | Letta |
|---|---|---|
| AgentReady | 57 | 72 |
| Discovery | 93 | 100 |
| Understanding | 31 | 38 |
| Adoption | 70 | 81 |
| Operability | 35 | 67 |
| Public API | Yes | Yes |
| MCP server | Yes | Yes |
| OpenAPI spec | Unknown | Unknown |
| CLI | Yes | Yes |
| llms.txt | Yes | Yes |
| Self-serve signup | Yes | Yes |
| Free tier | Yes | Yes |
Which to pick
Letta clears more of the signals an agent needs, so it is the safer default for unattended use. Full profiles: Langfuse and Letta. Alternatives to each: Langfuse, Letta.
An agent can fetch this as data: POST /v1/compare {"slugs": ["langfuse", "letta"]}