Orchestrator for autonomous AI agent systems.
Iris is not a chatbot. Iris is a persistent orchestrator that builds, manages, and heals specialized sub-agents. She runs 24/7 on an Azure VM, talks to you over Slack, sends scheduled reports by email, and commits every change to GitHub.
Every capability Iris adds is encapsulated as a skill — a reusable CLI tool stored in code. Skills are committed to GitHub before use, and every agent Iris spawns gets two environments (preview and production) provisioned via Terraform.
User (Slack/Telegram)
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Iris Orchestrator (@iris-core/runtime)
├─ Memory (SQLite + GitHub repo)
├─ Skills (reusable CLI tools)
├─ Sub-agents (isolated containers)
├─ Events (cron / webhooks)
└─ CDN (static assets, charts)
30Signals/iris-core)Daily gross usage + MTD + forecast. Excludes credits. Auto-posts to Slack + email.
Daily spend + MTD by service (INR + USD). Uses Consumption API. Same delivery.
Stock + mutual fund tracker. Live prices (yfinance + AMFI), P&L, alerts, charts.
Interactive charts (candlestick, line, area, OHLC). Publishes to CDN with public URL.
Stock quotes, charts, comparison charts, research reports from Google Finance.
Browser-to-API capture and replay. Zero-token replay of logged-in web workflows.
Cloud-portable secret retrieval. Env vars first, falls back to Azure Key Vault.
Resend API integration for human escalation and scheduled reports.
Azure MTD (through 23 Jun): ₹80,680 ($843) | Forecast: ₹105,234
All bills include yesterday's spend, MTD total, service breakdown, and end-of-month forecast.
Iris is the infrastructure layer for a future where every company runs a fleet of specialized AI agents — not one monolithic LLM, but dozens of narrow sub-agents working in parallel. Each with two environments, self-healing capabilities, and full audit trails in GitHub.
The pattern is: discover → build → commit → test in preview → promote to production. Iris executes this loop for every new capability.