AI agents
Sovereignty for AI agents.
Agents are starting to act inside companies. On Akua they act with an identity, scoped access, rules, human approval where it is critical, and an audit trail, on infrastructure you own.
The shift
AI agents are joining your organization.
For thirty years, people have been the glue between systems. That job is starting to move.
Code
A coding agent merges a pull request.
Infrastructure
An operations agent restarts a workload.
Data
An analytics agent queries customer data.
Finance
A finance agent creates a payment.
Every one of them acts on your systems, with your access.
The problem
Infrastructure hasn't caught up.
Every new agent is another identity, another set of permissions and another path into your systems.
Identity
Who is acting?
Permissions
What can it access?
Policy
What is it allowed to do?
Approval
When should a person step in?
Audit
Can you explain what happened?
AI agents
Autonomous where it can be fast. Human where it is critical.
The next step is AI that acts on this foundation. Routine work runs by itself; a person decides when it matters.
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Autonomous inside the sandbox
The agent develops, builds and tests in an isolated environment, with only the access its task needs.
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A human gate for critical changes
Before anything reaches production, a person approves that specific change. Without approval, production stays as it is.
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Only the approved change moves on
The agent stays in the sandbox. Identity, approval and change land in the audit trail.
Identity. Approval. Audit.
Use cases
Built for the work agents are beginning to do.
Software & infrastructure
Let agents deploy, investigate and operate production safely.
Data
Give agents scoped access to sensitive organizational data.
Operations
Delegate workflows while keeping human escalation paths.
Finance
Allow agents to execute financial processes within explicit limits.
Open source
Open at the foundation.
The agent runtime, access control, packaging and interfaces are open. Akua is the control plane that makes the whole environment operable for a company.
Akua
Control plane. Identity, policy, approvals, audit.
Open foundation
- Agent runtime
- Access control
- Packaging
- Interfaces
Your infrastructure
Any cloud, cluster or data center you already run.
No proprietary agent runtime
AgentOS is open source. Any coding agent can operate in it.
No forced cloud
Runs on the infrastructure you already own and trust.
No single-model bet
Works with the models and harnesses that fit your organization.
Quickstart
One prompt. Your coding agent sets up Akua with you.
It installs the CLI, signs you in through the browser, asks what you want to build and what you already have, then guides the documented path and asks before anything billable.
The prompt
Fetch https://docs.akua.dev/agent-setup/prompt and complete the Akua CLI quickstart with me. Install the CLI, sign me in through the browser, then ask what I want to build and what infrastructure I already have. Use the CLI for authentication and platform operations. Treat MCP as optional and do not wait for an agent restart.
What you already have
Where this goes
The autonomous company.
Our path there: control over software, data and your own AI, on infrastructure you choose. People don't disappear. They move up: goals, guardrails, the decisions that matter.
- Today People operate software
- Level 1 AI assists
- Level 2 Agents act, critical under approval
- Level 3 Agents coordinate agents
- Level 4 The autonomous company
Give your agents
a place to act.
Identity, rules, approval and audit for every agent, on the infrastructure you already own.