• “research”
  • “ai”
  • “multi-agent”
  • “flowise”
  • “anthropic” updated: 2026-04-14 group: agent-systems-skills backlinks:
  • 2026 04 14 Anthropic multi agent deep Research agent

Multi-agent research system

A collaborative architecture employing specialized AI agents to perform complex research tasks, overcoming single-LLM limitations like hallucination and shallow analysis through iterative, role-based workflows.

Key features:

• Emulates human research methodology via agent collaboration
• Uses distinct agent roles (researcher, critic, summarizer)
• Cross-verifies information to reduce hallucinations
• Enables deeper exploration through iterative refinement

Recent implementation:

• Anthropic multi agent deep Research agent (2026-04-14): Flowise-based system inspired by Anthropic’s approach
  • Video guide: https://www.youtube.com/watch?v=GPsKnsYJPiI
  • Creator: Leon van Zyl
  • GitHub repository: https://github.com/leonvanzyl/flowise-masterclass-2025/tree/master/Deep%20Research%20Agentflow
  • Designed to overcome single LLM limitations (hallucination, insufficient depth)
  • Core concept: deep research agent flow
  • Flowise registration link: https://cloud.flowiseai.com/register?via=leonvanzyl
• Addresses single-LLM limitations via agent-based workflow
• Structured as iterative research flow with agent specialization

Related concepts:

• Flowise
• anthropic
• LLM hallucination
• Research agent