[::] Agentic Stacks

Reference: Deep Browser Research Agent

reference

research-deep

framework
Agent Framework
browser
Browser Automation
retrieval
Retrieval / Vector Store
eval
Eval
observability
Observability / Tracing
sandbox
Sandbox / Code Execution
deployment
Deployment Target
mcp_servers
MCP Servers

Architectural notes

Reference architecture for a deep-research agent that browses many
sources and synthesizes a structured report.

Why these picks:
- LangGraph for explicit checkpointing across long-running research
  flows (rate limits, retries, partial state recovery).
- Browserbase for fleet management of headless browsers at concurrency.
- Opus for the final synthesis step where reasoning quality dominates.
- Modal for compute scaling without committing to provisioned servers.

Common gotchas:
- Source quality dominates output quality; aggressive de-duplication
  helps more than better synthesis prompts.
- Long flows need explicit budget caps or costs run away fast.

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