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Use case

Build a research agent

An agent that watches sources, synthesises findings, and ships you a briefing on the days something matters.

The job: an agent that watches its assigned sources, decides when a finding is worth your time, and writes you a briefing on those days only. Not a daily digest of noise. Here is what to compose.

The stack

Each pick is a real entry on the index. Click any one for the full detail page.

  1. 1
    O OSS Orchestration

    LangGraph

    by LangChain

    Why this: Research workflows have shape: gather, filter, synthesise, ship. LangGraph encodes that as a state machine you can replay when a run goes sideways.

    Full entry
  2. 2
    M MCP Web search

    Brave Search MCP

    by Brave (reference implementation)

    Why this: Brave Search MCP is the cleanest open-search surface for agents. No per-call billing tarpit.

    Full entry
  3. 3
    A Agents Driver

    Claude Code

    by Anthropic

    Why this: Run the whole flow headless inside Claude Code. Skills + hooks give you the safety rails. Cron handles the cadence.

    Full entry
  4. 4
    S Skills Page extraction

    Webpage Info Skill

    by Anthropic

    Why this: When a search hit is worth reading, this skill turns the page into clean structured notes the agent can synthesise from.

    Full entry
Why we picked this stack

Get this running with Enterprise DNA.

Enterprise DNA closes the loop. The agent's briefing lands in your inbox via the Enterprise DNA send pipeline, the run shows up in your project tracker, and the source allowlist lives in one place. No new dashboard to learn.

Run this stack on Enterprise DNA
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Alternative stacks

Different angles on the same outcome.

Alternative

Crew of agents

If you want a researcher + writer + reviewer crew instead of one driver, CrewAI is the natural shape.

See the alternative

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