v0.18.2
The latest update prevents cache breakages, making local Claude Code runs significantly faster for developers.
Ollama has rolled out version 0.18.2 of its popular open-source platform for running large language models locally. The release focuses primarily on improving the integration and performance of OpenClaw, Anthropic's Claude Code model, when executed on local machines. The most significant change addresses cache management issues that were causing unnecessary slowdowns during Claude Code execution. By preventing cache breakages, developers working with code generation and analysis tasks will experience noticeably faster response times without changing their hardware setup.
The update also includes several important fixes for the OpenClaw installation and launch process. It adds an extra verification step to ensure npm and git are properly installed before attempting OpenClaw setup, preventing failed installations. The command 'ollama launch openclaw --model <model>' now functions correctly, and Ollama's websearch package registers properly with OpenClaw. These improvements make the local development experience more reliable and streamlined for programmers who prefer running AI coding assistants offline for privacy, cost, or latency reasons.
- Fixes cache breakage issues that slowed down local Claude Code execution
- Adds npm and git dependency checks before OpenClaw installation
- Corrects websearch package registration and launch command functionality
Why It Matters
Developers get faster, more reliable local AI coding assistance without cloud dependency, improving privacy and reducing latency.