Browse applications built on modern technologies. Explore PoC and MVP applications created by our community and discover innovative use cases for modern technologies.
MedSync AI orchestrates 5 collaborative AI agents — Commander, Capacity, Staffing, Resource, and Compliance — that negotiate, challenge, and refine emergency action plans in real time. Human operators approve with one click. Every decision is audited.
ChapterStage is a Band-powered multi-agent system that turns book chapters and dense documents into interactive visual learning experiences.
Prometheus AI vibe checks websites to prevent security/functionality issues in pushing to production
HealthVet automates healthcare vendor due diligence using 6 AI agents on Band. In 90 seconds: breach history, certifications, compliance, evidence gaps, and an auditable APPROVE / ESCALATE / REJECT verdict. Normally takes weeks.
ClaimGuard: a 4-agent insurance claims pipeline on Band. Assessment and Payout actively query a deterministic Compliance Firewall over Band for data clearance before acting — real governance negotiation, not a static data filter.
CivicOps is a multi-agent civic emergency dispatch platform that uses Band to coordinate citizen reports, triage, dispatch, public updates, and audit-ready municipal response workflows.
ResumePilot AI is an interactive career optimisation suite that uses the gemini-2.5-flash model to parse resumes, analyse keyword density against multiple target roles simultaneously, and generate custom interview materials.
Dzuka Agri equips huge commercial farms worldwide with multi-agent AI. Submit crop image, GPS & problem → agents (Crop, Pest, Climate, Market & more) collaborate for enterprise-grade actionable recommendations. Intelligence at scale
Care-Guard is a multi-agent AI system designed for workplace psychosocial case management. It helps HR teams efficiently handle sensitive employee wellbeing incidents by orchestrating six specialized AI agents that work together.
An automated financial compliance system powered by 3 collaborative AI agents on the Band framework. It automates risk scanning, SAR detection, and human-in-the-loop escalations to streamline BSA/AML workflows.
CodeForge AI is an autonomous multi-agent system that builds and deploys full-stack applications from a single user request, using specialized AI agents to handle architecture, development, code review, and deployment.
LendAI automates loan approvals using a specialized three-agent architecture to assist users.
A multi-agent AI system where Planner, Engineer, Reviewer, Tester, and Documenter agents collaborate across the full SDLC — turning a plain-language feature request into merge-ready, tested, and documented code with zero human hand-holding.
Six AI agents coordinate through Band to turn one brief into a working product on a live URL, then prove it. A deterministic gate, a per-author signed audit chain, and a grounding pass back every shipped page.
VkhyciouOmniSync AI unifies enterprise data, detects workflow bottlenecks, automates tasks, and delivers real-time insights for faster decisions.
A Band-coordinated runtime that turns one input into enterprise-ready packages by spawning specialized agents, orchestrating handoffs, sharing context, producing artifacts, and validating outputs across multiple workflow flavors
A multi-agent cybersecurity operations platform that automates incident response, threat intelligence, MITRE ATT&CK mapping, analyst workflows, and executive reporting through coordinated AI agents.
Hed4Band connects autonomous AI agents into real-time collaborative teams using Band AI and Hedera infrastructure, enabling secure discovery, coordination, and execution of complex tasks across distributed intelligent systems.
Loopkeeper uses a band of AI agents to track accountability in B2B workflows - detecting who holds the ball, reading the inbox for escalations, scoring case health, and triggering playbook rules so nothing falls through the cracks
BandOps is an enterprise-grade command center that replaces siloed human panic with an orchestrated swarm of adversarial AI agents. Powered by Band, it resolves multi-million dollar aviation crises in seconds with immutable human-in-the-loop oversight.
A live Band-powered multi-agent system that helps businesses recover from supplier failures by coordinating incident intake, contract checks, supplier history, finance risk, backup sourcing, recovery simulation, negotiation drafts, and final approval.
A multi-agent system that evaluates candidates using documented evidence, not gut feeling. Four specialized AI agents collaborate through Band to deliver structured verdicts with bias flags, scores, and actionable feedback — not silence.
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YOUSUN Secura is a multi-agent governance command center that reviews sensitive enterprise AI actions for policy, security, human approval, and audit readiness before execution.
Agent Inception is a next-generation web automation framework that explores a completely new paradigm for browser agents: replacing traditional, text-heavy DOM prompting with latent memory steering.
CrisisMind is an AI-powered multi-agent emergency management platform where Rescue, Medical, Food, Shelter, and Commander agents collaborate in real time to assess disasters, coordinate resources, and generate unified emergency response plans.
CivicChain is an advanced multi-agent orchestration platform that processes citizen reports in real-time. It leverages Llama 3, Mistral, and Qwen to automatically classify, route, and analyze civic issues instantly within a premium glassmorphism UI.
V7-Twin.ai is an autonomous 7-agent digital twin engineering console on the Band bus. Powered by Llama-3 & Qwen-2.5 inside a secure SGX enclave, it designs, writes, reviews, tests, & documents features with self-healing.
Voyage AI is an AI-powered travel planning platform that generates personalized itineraries, destination insights, weather forecasts, budget estimates, and smart recommendations to help travelers plan seamless trips worldwide.
Band agents that remember. Mimir-powered persistent memory gives Planner, Executor, and Reviewer agents shared context across sessions — they recall past decisions, conventions, and lessons so your multi-agent team gets smarter every run.