Agents · 2025

Quorum Research

A multi-agent research platform. Eight specialised agents split a research question between them, from planning and searching to fact-checking and writing, and the interface shows every step as it happens.

Role: Own project, from design to deployment
Stack: React · Python · WebSockets · AWS

01 ProblemDeep research means hours of searching, cross-checking and drafting, with scattered results.

02 ApproachEight agents each own one stage of the research, visualised live as a swarm.

03 TechnologyReact 18 and Vite, Python asyncio agents, WebSockets, Redis and PostgreSQL on AWS.

04 OutcomeA transparent pipeline from question to a branded, exportable report.

01 — Problem

Market, academic and competitive research takes hours of manual searching, cross-referencing, fact-checking and drafting. The results end up scattered, and it is hard to see how a conclusion was reached.

02 — Approach

01One stage per agentA Planner breaks the question down; a Researcher, an Academic Analyst and a Code Analyst gather evidence; a Fact Checker and a Critic test it; a Synthesizer and a Report Writer turn it into the final document.

02Show the reasoning, not just the answerA live orbital map shows data moving between agents, a telemetry console streams their reasoning, and a source ledger tracks trust scores, citations and relevance for every source used.

03Built to plug into any agent backendA hook-based orchestration layer keeps the interface separate from the agent framework, so it can connect to LangGraph, CrewAI or AutoGen without structural UI changes.

03 — Technology

Frontend: React 18, Vite, Framer Motion
Backend: Python asyncio agents, Node.js APIs, WebSockets for live updates
Data: PostgreSQL, Redis
Orchestration: Hook-based layer for LangGraph, CrewAI or AutoGen backends
Models: Switchable reasoning models, including OpenAI and Gemini
Infrastructure: Docker, AWS Amplify, AWS CloudFormation
Output: White-label report builder with one-click PDF export
Design: Custom CSS design system with light and dark modes

04 — Outcome2025

agents, each owning one stage of the research

agent frameworks it can drive without UI changes

1-clickbranded PDF report from a finished run

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