Summary
This orchestrates multi-source research by spinning up subagents for different subtopics, having them save findings to files, then synthesizing everything into cited reports. You create a research plan, delegate 2-5 focused questions to parallel subagents (each doing 3-5 searches max), then read their findings files and combine them. It's structured around file-based coordination rather than direct returns, which keeps things organized in a dedicated folder. The workflow is methodical: plan, delegate, synthesize. Works well when you need to compare options or investigate something with multiple angles, though the overhead probably isn't worth it for simple lookups.
Install to Claude Code
npx -y skills add langchain-ai/deepagents --skill web-research --agent claude-codeInstalls into .claude/skills of the current project.
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SKILL.md
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Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
