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🤓 Latest Submissions
MediAgent
MediAgent is an AI-powered clinical decision support system built for physicians. Doctors face hundreds of diagnostic decisions every day under pressure, with incomplete information, and often without support. Existing tools either send patient data to third-party cloud servers, require million-dollar enterprise implementations, or offer no transparency into how their conclusions were reached. MediAgent was built to solve all three problems at once. The system analyzes patient symptoms, vital signs, laboratory results, and radiology notes to produce a prioritized differential diagnosis list. Each diagnosis comes with an ICD-10 code, a confidence score, a clinical rationale, and a full six-step reasoning chain showing exactly how the AI reached its conclusion. Physicians see not just the answer they see the thinking behind it. Everything runs locally. Patient data never leaves the infrastructure not by policy, but by architecture. This makes MediAgent viable for small clinics, rural hospitals, and healthcare systems in emerging markets where data sovereignty is non-negotiable. The system also includes full patient profile management, analysis history, urgency triage, recommended tests, and PDF report generation. The global clinical decision support market stands at $2.43 billion today, growing at 9.6% annually. On-premise deployment already accounts for 41.9% of the market — and 80% of hospitals worldwide still have no production AI in place. MediAgent targets exactly this gap. Under the hood: MedGemma 27B running on AMD MI300X GPU via vLLM and ROCm, FastAPI backend, React frontend, SQLite — all in a single Docker container. Open source, MIT licensed. Built by Axiom Core. Your Clinical Copilot.
13 Jul 2026
VERITAS
VERITAS is a multi-agent content verification system built to fight misinformation at scale. Every day, billions of unverified claims circulate online. Manual fact-checking takes hours — and most of the time, it never happens. VERITAS automates this process entirely, turning a hours-long task into under 60 seconds. The system accepts any block of text and returns a fully sourced, trust-scored verification report for every factual claim it contains. The pipeline runs through seven specialized AI agents coordinated exclusively through Band. The Orchestrator extracts every verifiable claim from the input and forwards them to ResearcherMaster. ResearcherMaster divides the claims into four groups and dispatches them simultaneously to ResearcherB, ResearcherC, and ResearcherD — triggering genuine parallel research across four independent agents, all powered by AIML API and searching the web in real time via Tavily. Source Validator then collects all findings, evaluates every source for credibility, and filters out blogs, forums, and unreliable sites. Finally, Reporter synthesizes the validated findings into a structured report: a trust score from 0 to 100, a plain-language explanation, and verified citations for every claim. Band is not a wrapper in this system — it is the coordination backbone. Every task assignment, research finding, validation result, and final report passes exclusively through Band's @mention routing layer, enabling true agent-to-agent collaboration across the full pipeline. VERITAS targets journalists, researchers, educators, and anyone who needs to quickly verify what they read online — making reliable fact-checking accessible, fast, and transparent.
19 Jun 2026
