ollama launch

2026-01-22 · Source: Ollama Blog · Field: Technology & Digital — Software Development & Engineering, Artificial Intelligence & Machine Learning · Depth: Intermediate, quick

Summary

Ollama introduced the `ollama launch` command on January 23, 2026, simplifying the setup and execution of popular coding tools like Claude Code, OpenCode, and Codex with both local and cloud-based AI models, eliminating the need for environment variables or config files. This new feature, available with Ollama v0.15+, streamlines the developer workflow by offering one-command setup for integrations and recommending models such as `glm-4.7-flash` and `qwen3-coder` that benefit from a 64000 tokens context length. For local execution, models like `glm-4.7-flash` require approximately 23 GB of VRAM, while cloud models and services are available for extended 5-hour coding sessions with full context length and generous limits. The platform supports integrations including Claude Code, OpenCode, Codex, and Droid, emphasizing the importance of a full context length for optimal performance. Users can also configure tools without immediate launch using the `--config` flag, further enhancing flexibility.

Key takeaway

Ollama's new `launch` command simplifies integrating coding tools like Claude Code and OpenCode with local or cloud LLMs. It offers one-command setup for models such as `glm-4.7-flash` (local, ~23GB VRAM for 64k context) or `glm-4.7:cloud`, bypassing manual configuration. This enables developers to rapidly deploy and experiment with powerful AI coding assistants, enhancing productivity with minimal setup overhead.

Topics

• Ollama Launch
• AI Coding Tools
• Local AI Models
• Cloud AI Models
• Context Length

Best for: Software Engineer, Machine Learning Engineer, AI Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by Ollama Blog.