Vegaa AI Web OS — Multi-Tenant AI Agent Platform
Vegaa is a multi-tenant AI agent platform. Provision agents, connect integrations over MCP, author BI dashboards, and run automation workflows from one console.
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THE PROBLEM
Running AI Agents Is Not the Same as Shipping Them
Teams can prototype an agent in an afternoon. Operating a fleet of them across tenants, tools and budgets is a different problem.
Agents Without Governance
A prototype agent has no budget, no permissions and no owner. A fleet of them needs all three before it touches production data.
Integrations Rebuilt Every Time
Each new agent re-implements the same Slack, HubSpot and CRM plumbing, because there is no shared tool layer.
No Shared View of What Agents Did
Conversations, runs and outcomes live in separate places, so nobody can answer what the agents actually accomplished.
SOLUTION
Meet Vegaa AI Web OS
A multi-tenant platform where a non-technical admin can spin up a tenant, connect integrations, provision agents, and author dashboards from the UI.
One App, One Database
Agents, integrations, dashboards, workflows, issues and support all sit behind a single Next.js application and a single Supabase project.
Admin-Operable
A non-technical admin provisions tenants, connects integrations and authors dashboards from the UI. Engineers maintain the framework and agent logic.
FEATURES
What Vegaa Gives You
Agents, integrations, dashboards, workflows and support — behind one application and one database.
First-Class Agents
Agents are rows, not scripts — system prompts, tool bindings, MCP server access, budgets, and an org chart so agents can report to one another.
Integrations over MCP
OAuth and API-key connections to Slack, HubSpot, Apollo, Shopify and Notion, plus a REST bridge for providers without an MCP server. Individual tool keys bind to individual agents.
Business Intelligence Dashboards
Author dashboards with a JSONB widget layout over KPI definitions — manual, table-derived or computed — with append-only measurements. Number, trend, bar, status and table widgets ship built in.
Embeddable Support Widget
A per-tenant customer-support agent with an embeddable chat widget, conversation persistence, escalation to Slack, and automatic conversation summarisation.
Workflows
Multi-step automation primitives for cron-scheduled and on-event tasks.
Leads and Campaigns
Outbound prospecting with ICP scoring and sequence orchestration, alongside a lightweight issue tracker for cross-agent and human work.
HOW TO USE
How Vegaa Works
From tenant to running agent, without an engineer in the loop.
Spin Up a Tenant
Create the organization and invite members. Every persistent row is scoped to that organization from the outset.
Connect Integrations
Authorise Slack, HubSpot, Apollo or Notion through OAuth or an API key. Each connection registers the tool keys it exposes.
Provision Agents
Author an agent conversationally or use a system agent. Bind the tools it may call, set its budget, and place it in the org chart.
Author Dashboards
Define KPIs and lay out widgets from the UI, so the people who need the numbers are not waiting on an engineer.
USE CASES
What Teams Build on Vegaa
The surfaces that ship with the platform.
Customer Support
An embeddable widget backed by a per-tenant support agent, with conversation history and Slack escalation when a human is needed.
Outbound Prospecting
An ICP-scored lead database with campaign sequences, driven by agents connected to Apollo and HubSpot.
Operations Reporting
KPI definitions and append-only measurements feeding dashboards that an admin can build without engineering time.
Multi-Agent Orchestration
Swarm runs where several agents coordinate on one task, with an org chart defining how they escalate.
WHY CHOOSE US
Built for Operating Agents, Not Demoing Them
The parts that matter once agents are actually running.
Agents Have Budgets and Permissions
Tool access is bound per agent and spend is capped per agent, so an agent cannot reach data or run up cost it was never granted.
Model-Agnostic Tool Layer
Tools are exposed over the Model Context Protocol, with a REST bridge for providers that do not speak it. The tool layer is not tied to one model vendor.
Built and Tested Like Software
TypeScript in strict mode, with unit tests in Vitest and end-to-end tests in Playwright.
SECURITY & COMPLIANCE
Multi-Tenant Isolation by Default
Every persistent row belongs to an organization, enforced in the database rather than the application.
Row-Level Isolation
Every persistent row carries an organization_id, and Postgres row-level security policies gate access. Isolation is enforced by the database, not by application code remembering to filter.
Membership-Gated Access
Access flows through org-membership and org-admin checks. Only service-role operations — cron jobs, agent runs, integration discovery — bypass RLS.
Scoped Integration Credentials
Integration credentials are held per organization, and individual tool keys are bound to individual agents rather than shared platform-wide.
Frequently Asked Questions
FAQs
Common questions about the Vegaa platform.
A multi-tenant platform for provisioning and operating AI agents. It bundles the agent runtime, an integration layer over MCP, BI dashboards, automation workflows, an issue tracker and a customer-support widget behind one application.
Not for day-to-day operation. An admin can create a tenant, connect integrations, provision agents and author dashboards from the UI. Engineers maintain the framework and the agent logic layer.
Slack, HubSpot, Apollo, Shopify and Notion connect over OAuth or an API key, with a REST bridge for providers that do not expose an MCP server. The integration catalog is extensible in code.
Every persistent row belongs to an organization and Postgres row-level security enforces access on read and write. Only service-role operations such as cron jobs and agent runs bypass it.
Yes. Agents have an org chart with reporting relationships, and swarm runs coordinate several agents on a single task.
Each agent carries a budget, and tool access is bound per agent. An agent can only call the tools it was explicitly granted.
Next.js and React with TypeScript in strict mode, Supabase for Postgres, auth and row-level security, the Vercel AI SDK with Anthropic Claude models, and the Model Context Protocol for tool exposure.
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