agentic · serverless · ai agents for aws

Complete autonomy.
Complete control.

Cloud Agent Studio runs autonomous AI agents inside your own AWS account — with complete control over every permission, every tool call, and every layer of the execution stack.

regions

32

models

300+

tools per agent

idle cost

$0

Agentic Loop

Activates in Real Time

Cloud Agent Studio runs the complete reasoning loop inside your account — every plan reviewed, every action guard-railed, every decision logged.

Observe

Ingest signals from your environment — events, logs, threads, tickets — all captured and timestamped in your account.

Orient

Build a model of the situation against prior runs, prior plans, and prior context. No hallucinated state.

Decide

Pick a course of action scoped to least-privilege. You review the plan and the exact IAM scope before anything runs.

Act

Execute under scoped roles with approval gates on sensitive steps. Every tool call traced and replayable.

ambient

Always on. Everywhere you work.

Your agents meet you in the tools you already use — no new app, no new tab, no new place to check. Open a PR, drop a thread, move a ticket — the loop is already running.

Confluence, Notion

read, write, cite

Discord, Slack

threads → plans

GitHub

reads, drafts, patches

Jira, Linear

tickets, transitions

stack

Every AWS layer, already in your account.

Cloud Agent Studio composes the AWS services you already run — no new vendor to onboard, no data-plane to migrate, no new procurement cycle.

Bedrock

inference

Fargate

long-running agents

Lambda

ephemeral actions

DynamoDB

agent state

IAM

scoped roles

KMS

your keys

bring your own keys

Your models. Your keys. Your rate limits.

Cloud Agent Studio never stores or proxies your model credentials. Keys live in your account — in Secrets Manager, under KMS, audited by CloudTrail. Bring any frontier provider, or route everything through OpenRouter.

Anthropic

Claude

OpenAI

GPT

Google

Gemini

xAI

Grok

OpenRouter

Unified LLM API gateway and marketplace

scale to zero

Pay for reasoning. Not idle time.

Every layer scales to zero. Lambda bills by the millisecond. Fargate tasks stop when their run ends. DynamoDB runs on-demand with no provisioned capacity. When nothing is happening, you pay nothing.

Ephemeral actions

Lambda bills by the millisecond. No warm pools, no baseline fleet. Most agent work never touches Fargate.

Long-running agents

Fargate tasks run until their work is done, then stop. No idle vCPU, no parked capacity, no oversized reservations.

State

DynamoDB on-demand. No provisioned capacity, no minimums. Pay per read and write, or nothing at all.

control plane

Complete visibility. Complete veto.

Your VPC. Your IAM. Your audit trail. Every agent runs under least-privilege, every privileged action requires approval, and every decision is logged to your own account — never ours.

Permissions

Scoped IAM per agent. Least-privilege by default. No shared roles, no shared secrets, no shared tenancy.

Guardrails

Policy-as-code approval gates on sensitive steps. Agents stop and ask before any action you flag as privileged.

Audit

Every tool call traced. Every decision logged. Every run replayable — with full token-level provenance in your own logs.

observability

Every token. Every tool call. Every trace.

Cloud Agent Studio streams traces, logs, and metrics to Datadog — the same place you already watch your infrastructure. LLM Observability gives per-span visibility into what the agent thought, what it called, and what it cost.

Traces

Distributed tracing across every LLM call, tool call, and sub-agent invocation. Jump from a flagged decision back to the prompt that produced it.

Logs

Structured logs from every service. Correlate agent runs with application spans in one query — no shuttling between tools.

Metrics

Token counts, tool latencies, approval rates, cost per run. Dashboards and alerts your team already knows how to read.

get started

Complete control. In your account.

Cloud Agent Studio deploys as a CDK app into your AWS account. No data-plane to migrate, no procurement cycle, no vendor to onboard — just your agents, your keys, your logs.