# agent cache vs tavily: documentation extraction vs ai search

> tavily is an ai search engine for agents. agent cache is a docs extraction tool. they solve different problems. here's why.

tavily is everywhere in ai agent stacks. "the real-time search engine for ai agents." 300m+ monthly requests. 2m+ developers. 99.99% uptime.

agent cache is a tool that downloads docs and gives you a zip file.

people confuse them. "they both give agents information from the web." no. tavily searches the internet for answers. agent cache gives your agent documentation to read. totally different use cases.

## tavily finds current sources for a question

tavily is a search api. you ask it something like "what's new in react 19?" or "how do i implement rate limiting in hono?" tavily searches the web, finds relevant sources, extracts key content, and returns structured results with citations.

it's real-time. it searches the live web. it retrieves current information. it's the difference between asking a question in a group chat and opening old notes.

pricing is roughly $7.50-8 per 1,000 searches. $0.005 per basic search, $0.01 per advanced search. 1,000 free credits per month on the free tier.

## agent cache starts with a docs url and ends with files

agent cache doesn't search. it downloads.

paste a documentation url. agent cache crawls the site. extracts clean markdown. structures it with `meta.yaml`, `_map.json`, `INDEX.md`. gives you a zip file.

your agent reads these docs like any other file. not through an api. not at runtime. just from disk.

**and it's free.**

## searching for an answer vs downloading a known reference

this is the key distinction.

tavily is for **questions you don't know the answer to.**
- "what's the latest hono version?"
- "did stripe change their api recently?"
- "how does this new library work?"

agent cache is for **reference material you already know you need.**
- "give my agent the stripe docs"
- "i need the hono api reference"
- "put supabase docs in my project"

tavily discovers. agent cache owns.

## tavily helps when you don't know which docs you need

**discovery.** when you need to find information you don't have, tavily is unbeatable. it's a search engine. that's what it's for.

**freshness.** tavily searches the live web. if something changed last week, tavily finds it. agent cache gives you a snapshot from when you extracted it.

**broad queries.** "what's the best auth library for hono?" tavily can answer that. agent cache can't. it only has what you give it.

**no setup for new topics.** want to learn about a library you haven't used? tavily finds docs, blog posts, tutorials, github issues. agent cache requires you to know the docs url and extract it.

## repeated api work is easier with a complete local reference

**complete reference.** tavily returns snippets. agent cache gives you everything. every page. every code example. every edge case. agent cache > tavily for deep api work.

**offline.** tavily needs internet and the api. agent cache works anywhere after download.

**determinism.** tavily might return different results for the same query. web changes. ranking changes. agent cache gives the same bundle every time.

**free.** tavily costs ~$8 per 1,000 searches. agent cache is free. if your agent queries docs 100 times per day, that's real money.

**structured output.** tavily returns search results. agent cache returns organized docs with navigation, metadata, and indexes. your agent knows what's available and where to find it.

**no rate limits.** tavily has rate limits and quotas. agent cache reads files from disk. unlimited.

## complementary, not competing

the real workflow is both.

**phase 1: discovery (tavily)**
- "what library should i use for auth?"
- "did this feature change in the latest version?"
- "what's the current best practice?"

**phase 2: implementation (agent cache)**
- "give me the full auth docs"
- "i need the complete api reference"
- "extract the docs into my project"

use tavily to figure out what you need. use agent cache to get it.

## a search summary isn't the full parameter reference

some people say "just use tavily" when they hear about agent cache. they think they're similar.

tavily is great for discovery. but it doesn't replace having the actual documentation.

try asking tavily: "what are all the parameters for stripe's `checkout.session.create` and their exact types and defaults?" it'll give you a summary. maybe accurate. maybe not. maybe missing edge cases.

with agent cache, your agent reads the actual docs file. exact parameters. exact types. exact defaults. no summarization. no filtering. no potential hallucination from the search layer.

**tavily is a starting point. agent cache is the foundation.**

## find the library with tavily, then download its docs

tavily is a search engine. agent cache is a docs downloader.

tavily answers questions. agent cache gives reference material.

tavily is for discovery. agent cache is for execution.

use tavily when you don't know what you need.

use agent cache when you do.

use both: discovery phase with tavily, implementation phase with agent cache.

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**related:**
- [agent cache vs context7](/compare/context7)
- [agent cache vs firecrawl](/compare/firecrawl)
- [how i turn a docs url into markdown](/blog/acquisition-ladder)