The latest Ollama releases (v0.18.1 through v0.18.2) bring a significant upgrade for OpenClaw users: built-in web search and web fetch capabilities. Local models can now access real-time information without leaving the OpenClaw environment.
What is New
Ollama now ships with a web search plugin that plugs directly into OpenClaw is tool ecosystem. When configured, OpenClaw can invoke Ollama is models to search the web for current information and fetch readable content from pages. This bridges a key gap for local LLM deployments: stale training data.
How It Works
The integration provides two core capabilities:
- Web Search: Models can issue search queries and receive up-to-date results for current events, documentation, and breaking news.
- Web Fetch: Direct page fetching extracts readable content for processing—useful for ingesting documentation, articles, or release notes without manual copy-paste.
Notably, Ollama is implementation does not execute JavaScript. This keeps the surface area minimal while still covering most static documentation and news sites.
Setup Requirements
To enable web search in OpenClaw with Ollama, you need:
- Ollama v0.18.1 or later
- An authenticated Ollama account (
ollama signin) - OpenClaw configured to use Ollama as the model provider
The authentication requirement applies specifically when using local models with web search enabled. This likely ties to rate limiting and API key management for the search backend.
Running OpenClaw
To launch OpenClaw with a specific Ollama model:
ollama launch openclaw --model llama3.2Recent versions (v0.18.2+) also fix a bug where stale model fields were not properly updated when the primary model changed, ensuring your selected model is actually used.
Why This Matters
Local LLMs traditionally suffer from knowledge cutoff dates. By adding web search, Ollama+OpenClaw gives local models the same real-time awareness as cloud-based alternatives—without sending all prompts to external APIs. This is particularly valuable for:
- Air-gapped or privacy-sensitive environments
- Research on fast-moving topics (security advisories, emerging tech)
- Reducing API costs while maintaining utility