Meilisearch vs Typesense
Meilisearch scores higher on the AgentReady, 58/100 against 50/100. 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
Meilisearch. Meilisearch is a search platform that indexes content and makes it accessible to both humans and AI.
Typesense. Typesense is a lightning-fast, open-source search engine designed to deliver instant, relevant search results.
Where Meilisearch is ahead
Meilisearch passes llms-full.txt / full agent docs and mcp discoverable, and Typesense does not. That is discover, whether an agent can find the product at all without being told it exists.
It also holds adopt: self-service signup, agent-compatible signup flow, fast time to first request and mcp integration available. Typesense misses those.
And on operate, observable execution. Typesense misses it.
Where Typesense is ahead
Typesense passes pricing understandable and limits / constraints documented, and Meilisearch does not. That is understand, whether an agent can read the docs and work out how the API behaves before calling it.
It also holds adopt: no mandatory sales call and free trial or free allowance. Meilisearch misses those.
And on operate, structured, predictable output. Meilisearch misses it.
What neither does
Both fail structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, programmatic credential creation, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified. 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. Meilisearch leads 100 to 80. Meilisearch misses nothing; Typesense misses llms-full.txt / full agent docs, mcp discoverable.
Understand. Typesense leads 38 to 23. Meilisearch misses structured api reference, openapi / spec quality, pricing understandable, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; Typesense misses structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented.
Adopt is whether an agent can get a key and make its first successful call without a human in the loop. Meilisearch leads 75 to 45. Meilisearch misses no mandatory sales call, programmatic credential creation, free trial or free allowance; Typesense misses self-service signup, agent-compatible signup flow, programmatic credential creation, fast time to first request, mcp integration available.
Operate. Both sit at 35/100 here. Meilisearch misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified; Typesense misses machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified.
Pricing
Meilisearch does not publish a machine-readable starting price. Typesense does not publish one and has a free tier.
Signal by signal
| Signal | Meilisearch | Typesense |
|---|---|---|
| AgentReady | 58 | 50 |
| Discovery | 100 | 80 |
| Understanding | 23 | 38 |
| Adoption | 75 | 45 |
| Operability | 35 | 35 |
| Public API | Yes | Yes |
| MCP server | Yes | No |
| OpenAPI spec | Unknown | Unknown |
| CLI | Yes | Yes |
| llms.txt | Yes | Yes |
| Self-serve signup | Yes | Unknown |
| Free tier | Unknown | Yes |
Which to pick
Meilisearch clears more of the signals an agent needs, so it is the safer default for unattended use. Full profiles: Meilisearch and Typesense. Alternatives to each: Meilisearch, Typesense.
An agent can fetch this as data: POST /v1/compare {"slugs": ["meilisearch", "typesense"]}