
Overview
AI agencies deploy agents for clients — but once they go live, there's zero visibility. No monitoring. No audit trails. No way to know if agents are working or failing.
Vela is the command center built for AI agencies.
WHAT VELA DOES: → Monitor every client and deployed agent in real time → Receive live events via webhooks from any platform (n8n, Vapi, Voiceflow, Make) → Track connection status with source IP detection and audit trails → Generate AI-powered client reports in one click — powered by Google Gemini 2.5 Flash → Enterprise security via Veea Lobster Trap — prompt injection detection, risk scoring, full audit trails
TRACKS: → Enterprise Utility — solves a real problem every AI agency faces → Agentic Workflows — webhook-based real-time agent event system → Vultr Award — fully deployed on Vultr Ubuntu 24.04
TECH STACK: Python + Flask, Google Gemini 2.5 Flash, Veea Lobster Trap, Vultr Cloud, Webhook API, SSL/HTTPS
Live at: https://tryvela.io Demo: demo@tryvela.io / demo1234 GitHub: https://github.com/proresin382-cpu/vela
Note: the demo URL is substituted with the GitHub repository link.
Tech stack
No comments yet
Be the first to comment on this project.

sentinel
Full-Stack Self-Healing DevOps & Security Copilot The Concept: An AI operations engineer that doesn't just suggest code fixes—it monitors cloud infra, detects uptime/security drops, automatically provisions fixes, and generates audit reports for enterprise compliance.

Agency Compiler
Agentic creative project compiler. Most creatives, agencies and designers dont know how to use ai, none the less agents. We created a platform that allows a creative agency or studio owner to instantly spin up agents based on the project ask, resources and scale.

ProofRun
ProofRun helps developers answer a critical question before shipping: will this update break behavior users rely on? An AI agent inspects two Git revisions, designs targeted experiments, and proposes repairs. An independent Docker-based verifier runs those experiments against both versions, preserves the original tests, and checks whether the repair actually works. Developers receive an update, skip, or postpone recommendation with recorded evidence and a reviewable patch. In a live synthetic…


