Start with the agent tools hub if you want the broader stack view. This article is the narrower version: what to use when an OpenClaw agent has to search, verify, or recover context without wandering around the web blindly.
The short version
There is no single best search tool. There is a best tool for the kind of search you are doing.
- web_fetch for fast public pages that do not need JavaScript.
- browser automation for logins, clicks, and dynamic pages.
- memory_search for facts already stored in your own memory files.
- Tavily or Exa when you want a search API that ranks the web for you.
Native, adjacent, and external
The clean way to think about this lane is simple. Native OpenClaw tools handle local context and direct page access. External search APIs handle broad web discovery. Browser tools sit in the middle when the page itself is the obstacle.
| Tool | Type | Best for | Main tradeoff |
|---|---|---|---|
| web_fetch | Native | Fast extraction from static public pages | Weak on JavaScript and auth |
| Browser automation | Native | Login flows, UI steps, dynamic content | Slower and more fragile |
| memory_search | Native | Prior decisions, notes, and saved context | Only knows what you stored |
| Tavily / Exa | External | Search across the web with ranked results or citations | Extra API cost and another dependency |
When search quality matters most
Search quality matters when the answer is spread across several pages, when freshness matters, or when you need citations instead of a vague summary. It also matters when the first result is often wrong. That is the whole game with agents: fewer confident mistakes.
If you need external search APIs, the official docs are the right place to start: Tavily quickstart and Exa answer.
Cost vs speed
web_fetch is the cheapest thing here in practice. It is quick, simple, and good enough for a lot of documentation work. Browser automation costs more time because it boots a browser and walks the page. External search APIs usually cost money per request, but they save time when you need ranked discovery instead of hand-rolled fetching.
The bad habit is using browser automation for every search problem. That turns a sharp tool into a slow hammer.
What beginners usually miss
- memory_search is not web search. It is for your own stored context, not the live internet.
- browser automation is not the default. Use it when the page requires interaction.
- search APIs are not magic. They still need good prompts, verification, and a human check when the topic is messy.
Best fit by workflow
Solo builder
Start with web_fetch and memory_search. Add browser automation only when the page forces your hand. That keeps the stack light.
Research-heavy workflow
Use Tavily or Exa when you need broad discovery, then confirm the important details with web_fetch or browser automation. That mix usually beats one tool trying to do everything.
Agent with saved context
Hit memory_search first. If the answer is already stored, you save time, money, and one more chance to be confidently wrong.
Best for
Use this order if you want a sane default: memory_search first, web_fetch second, browser automation only when needed, and external search APIs when you need broader web discovery or citations.
If you want the native tool breakdown only, open the search tools comparison guide next.