AgentsIQ delivers intelligent agents for infrastructure and operations teams. Each agent is a standalone plugin — deploy in minutes, configure through the UI, no complex setup.
Every agent is a standalone plugin with its own repo and configuration. Deploy one or twenty — the platform handles the rest.
Each agent is a self-contained repository. Clone it, set two environment variables, and run docker compose up. No platform SDK, no lock-in.
Every agent exposes a Settings page. Credentials, data sources, thresholds, and sync intervals — all configured through the browser, stored encrypted in your database.
Configuration and data survive restarts. Agents reconnect to your data sources automatically on startup. No manual reconfiguration after upgrades.
Each agent declares its capabilities in a manifest.json. The platform reads it and auto-generates the Settings UI — new agents get a config page for free.
Deploy your agent anywhere — Railway, EKS, ECS, or bare metal. Register it in the portal with a name, slug, and invoke URL. It appears in the catalogue instantly, ready for chat.
Production-ready agents that connect to your existing tools — no new infrastructure required.
Connects to OpsGenie or JSM and separates genuine incidents from automated noise. Identifies repeat offenders and tells you exactly what to suppress.
Upload your AWS Cost and Usage Report and ask plain-English questions about your spend. Get breakdowns, trends, and saving recommendations instantly.
Monitors service health, uptime, and incident status across your infrastructure. Ask about degraded services and get remediation recommendations.
Consumer lag, broker health, topic throughput, connector status — ask anything about your Kafka cluster in plain English.
Two environment variables. One docker compose command. Everything else configured through the browser.
Each agent has its own public repository under the AgentsIQ GitHub organisation. Clone only what you need.
DATABASE_URL and ENCRYPTION_KEY. That's it. API keys, data sources, and thresholds are all configured through the UI.
The agent starts, creates its database tables, and is ready to accept requests. No migrations to run manually.
Open the Settings page, enter your data source credentials, click Save & Sync. The agent is ready for questions.
The k8s/ folder includes Kubernetes manifests and a deploy.sh script for EKS or any Kubernetes cluster. HPA included.
# 1. Clone git clone github.com/agentsiq/alert-analyser cd alert-analyser # 2. Two env vars only cp .env.example .env DATABASE_URL=postgresql+asyncpg://... ENCRYPTION_KEY=your-generated-key # 3. Start docker compose up # 4. Verify curl http://localhost:8080/health → {"status": "ok"} # 5. Ask your first question curl -X POST localhost:8080/invoke \ -d '{"user_message": "What is my noise rate?", "session_id": "abc-123", "context": {}, "history": []}' # Kubernetes deployment cd k8s && ./deploy.sh \ --image registry/alert-analyser:v1.1.0 \ --namespace ai-agents \ --db-url "postgresql+asyncpg://..."
Try the live demo, browse the source on GitHub, or get in touch to discuss deploying AgentsIQ in your organisation.