AI Agents

CloudThinker ships five specialized agents that analyze, report on, and act across your cloud environment. Each agent owns a domain, keeps persistent memory of your infrastructure, and coordinates with the others on cross-domain work.

The agent roster

Agent	Role	Best for
Alex	Cloud Engineer	Cost analysis, infrastructure optimization, multi-cloud architecture, reserved capacity
Oliver	Security Engineer	Compliance audits, vulnerability assessment, IAM reviews, threat detection
Tony	Database Engineer	Query optimization, performance tuning, index recommendations, capacity planning
Kai	Kubernetes Engineer	Cluster health, pod right-sizing, autoscaling, RBAC audits, troubleshooting
Anna	General Manager	Multi-agent coordination, cross-domain projects, executive reporting

Want a different tone, restricted access, or a fully custom agent? See Customize agents.

Choose the right agent

You need	Mention
Cloud costs are too high	`@alex`
A security audit or compliance report	`@oliver`
A slow database diagnosed	`@tony`
Kubernetes cluster issues resolved	`@kai`
A problem that spans multiple domains	`@anna`
A starting point when you’re not sure	`@anna`

Anna dispatches work to the other agents, so she is the safe default for incident investigations and cross-domain projects.

Talk to agents

Talk to agents in plain language. The full pattern is:

@agent #tool your request

@agent — who does the work: @alex (cloud), @oliver (security), @tony (database), @kai (Kubernetes), @anna (coordination).
#tool (optional) — the output you want: #dashboard, #report, #recommend, #alert, #chart, #kb.
Your request — what you need, in your own words. Add any context inline.

See the CloudThinker Language reference for the full syntax.

@alex #dashboard build an EC2 cost dashboard for the last 30 days
@oliver #report audit security groups open to the internet on ports 22, 3306, and 5432
@anna #report run a quarterly infrastructure review across cost, security, and Kubernetes

How agents work

Read your prompt — the agent parses your mention, the optional tool tag, and your instruction.
Query your connections — the agent reads the connections you’ve configured: AWS, Azure, GCP, Kubernetes clusters, databases, and more.
Correlate data across sources — Alex cross-references CloudWatch utilization with Cost Explorer data; Tony reads execution plans alongside query frequency.
Deliver the output you asked for — a dashboard, report, prioritized recommendations, or an alert.
Act within its autonomy mode — in Manual mode the agent waits for your approval before executing changes. Every action is logged with an audit trail.

Autonomy

Each agent runs in one of two modes, configurable per agent:

Mode	What happens
Manual	The agent proposes the action and waits for a person to approve it before running.
Auto	The agent runs the action on its own and reports the result.

See Auto Mode for how Auto executions are scoped, guarded, and audited.

Memory and context

Agents get more accurate over time because they retain what they learn about your environment:

Memory type	What it retains
Episodic	Past analyses and decisions, such as resources you’ve exempted from recommendations
Working	Context within the current conversation thread
Semantic	Patterns learned about your infrastructure over time
File	Documents, runbooks, and knowledge base entries

When agents activate

Agents become available as you add the relevant connections:

Agent	Available when
Anna	Always — no connections required
Alex	An AWS, Azure, or GCP connection is added
Oliver	An AWS, Azure, or GCP connection is added
Tony	A PostgreSQL, MySQL, or other database connection is added
Kai	A Kubernetes cluster connection is added

Next steps

Customize agents

Tune personality, attach connections, and build fully custom agents

CloudThinker Language

The complete @agent #tool instruction syntax reference

Set up connections

Connect cloud providers, databases, and Kubernetes clusters

Auto Mode

Understand how autonomous execution is scoped and audited

Start here

Core concepts

The agent roster

Choose the right agent

Talk to agents

How agents work

Autonomy

Memory and context

When agents activate

Next steps

Customize agents

CloudThinker Language

Set up connections

Auto Mode

​The agent roster

​Choose the right agent

​Talk to agents

​How agents work

​Autonomy

​Memory and context

​When agents activate

​Next steps

Customize agents

CloudThinker Language

Set up connections

Auto Mode

The agent roster

Choose the right agent

Talk to agents

How agents work

Autonomy

Memory and context

When agents activate

Next steps