Subagents and web search in Claude Code

2026-02-15 · Source: Ollama Blog · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering · Depth: Intermediate, quick

Summary

Ollama now supports subagents and web search capabilities within its Claude Code environment, eliminating the need for MCP servers or API keys. This functionality, released on February 16, 2026, works with any model available on Ollama's cloud, including recommended models like `minimax-m2.5:cloud`, `glm-5:cloud`, and `kimi-k2.5:cloud`. Subagents can execute tasks concurrently, such as file searches, code exploration, and research, each operating in its own context to maintain productivity during extended coding sessions and prevent context overload. Web search is integrated into the Anthropic compatibility layer, allowing models to automatically retrieve current information. Subagents can also utilize web search to conduct parallel research and deliver actionable insights.

Key takeaway

For AI Engineers managing complex coding projects or requiring up-to-date information, integrating Ollama's Claude Code with subagents and web search can significantly streamline workflows. You can parallelize tasks like security audits, performance checks, and API route tracing, while subagents leverage web search for real-time data on topics like release notes or competitor analysis. This reduces context switching and enhances efficiency in your development cycles.

Key insights

Ollama's Claude Code now integrates subagents and web search for enhanced parallel task execution and real-time information retrieval.

Principles

• Parallel processing improves productivity.
• Context isolation reduces noise.
• Integrated search provides current data.

Method

Launch Ollama with `ollama launch claude --model [model-name]:cloud`. Models like minimax-m2.5 can trigger subagents automatically or be prompted to "use/spawn/create subagents" for parallel tasks and web research.

In practice

• Spawn subagents for parallel code audits.
• Use web search for competitor pricing research.
• Review CI/CD pipelines with research agents.

Topics

• Ollama
• Subagents
• Web Search
• Claude Code
• Parallel Processing

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

Related on AIssential

• How and when to use subagents in Claude Code — Subagents in Claude Code isolate tasks to manage context, enable parallelism, and provide unbiased perspectives.
• Web search — Ollama's new web search API enhances LLMs by providing real-time web data to improve accuracy and reduce hallucinations.
• Claude Code + Ollama = FULLY FREE AI Coding FOREVER! (Tutorial) — Integrate Claude Code with Ollama to run open-source LLMs locally, leveraging agentic capabilities for free.
• The Secret Behind Claude Code’s Retrieval: Why Live Search Fits Better than RAG — Claude Code's retrieval uses live search with `ripgrep` and LSP, not persistent RAG, to explore dynamic codebases like an engineer.
• AI agents in research: when productivity comes at the cost of apprenticeship — AI assistants like Claude Code and OpenClaw significantly enhance research efficiency across multiple tasks.
• Claude Code Agent View Explained — Anthropic's Claude Code now features an intuitive interface for parallel multi-agent management.

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