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🔬 Multi-Agent Research Operations with AI

Automate research workflows with agents that gather, analyze, synthesize, and summarize findings from multiple sources.

  • Event-triggered
  • 100+ integrations
  • Branching logic
  • Schedule + monitor
STATUS · LIVE
v1

01 / Ignition - reflexes emerge

Multi-Agent Research Operations

Automate research workflows with agents that gather, analyze, synthesize, and summarize findings from multiple sources.

// reflexes emerge · triggers fire · the workspace acts

Automate research operations in Taskade with a team of AI agents that gather data, cross-reference sources, and produce structured reports.

What Is Multi-Agent Research?

Multi-agent research splits complex investigations across specialized agents:

  • Collection Agent gathers raw data from configured sources
  • Analysis Agent identifies patterns, trends, and anomalies
  • Synthesis Agent combines findings into a coherent narrative
  • Summary Agent produces executive briefs with key takeaways

Why Automate Research with Multiple Agents?

  • Breadth and depth without a single agent hitting context limits
  • Cross-validation as agents check each other's outputs
  • Reproducible process stored in project databases
  • Trigger on schedule or event via automation triggers

How To Set Up Research Operations

  1. Define the research question and data sources
  2. Create agents with specialized knowledge for each phase
  3. Wire agent outputs through an automation workflow
  4. Store reports in your workspace for team review

Explore research templates in the Community Gallery.

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