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LangGraph Financial Swarm

A financial-analysis prototype that separates supervision, document research, and computation in a graph-based workflow.

Sources reviewed: 2026-09-12

01 / CONTEXT

The problem

Document retrieval and numerical analysis need different tools, but their results must return to the same user question.

02 / OWNERSHIP

My contribution

  • Led the workflow framing and agent-role choices.
  • Used AI-assisted implementation and reviewed the graph and tool boundaries.
Working approach: product-led, AI-assisted implementation, followed by review and iteration.
03 / ENGINEERING JUDGMENT

Decisions & tradeoffs

01

Give tools distinct roles

The choice
Use a supervisor to coordinate research and chart-generation components.
The tradeoff
More steps add latency and do not by themselves make the final reasoning correct.
How it is checked
Public source separates supervisor, researcher, and chart-generation modules.

What the work shows

The repository offers a concrete graph-and-tools implementation for studying task routing and financial document analysis.

FROM CLAIM TO SOURCE

Follow the evidence

What this does not establish

  • The preliminary performance headline is not used here as an independently validated benchmark.
  • Local inference does not imply regulatory compliance or that every document-processing dependency is local.

Tools & methods

PythonLangGraphLocal inferenceTool orchestration