Autonomous AI Swarms that Research, Fact-Check & Synthesize
Evidence-grounded research workflow. Quorum orchestrates parallel researcher agents into a topological Directed Acyclic Graph (DAG) — retrieving academic literature, performing claim and citation validation checks, and compiling structured intelligence reports.
Claim and citation validation checks
Parallel research-agent orchestration
Structured synthesis with source references
Human review required before publication or reliance
The Asynchronous Multi-Agent DAG
Quorum treats research not as a monolithic chat completion, but as a directed graph of specialized autonomous agents with verifiable synchronization barriers.
Orchestrator Agent
Decomposes ambiguous, complex user queries into 3–6 mutually exclusive, collectively exhaustive sub-research hypotheses. Compiles the topological task dependency DAG.
Researcher Swarm
Parallel autonomous workers run concurrently via asyncio.gather. Harvests academic preprints, IEEE/ACM papers, and regulatory filings with exact source anchors.
Fact Checker Barrier
Acts as an adversarial synchronization barrier. Ingests all candidate claims, cross-verifies empirical data against fetched URLs, discards contradictions, and scores confidence.
Synthesis Writer
Consumes verified claims to synthesize cohesive, multi-section whitepapers with clickable inline citations [1] linked to the verified bibliography.
Evaluating Quorum for Hackathon Judging?
Explore the live multi-agent workspace, inspect provider circuit breakers in Settings, browse primary citations in the Evidence Library, or run your own research query.