A local AI agent for your Mac

Honesty first: local does not mean nothing ever leaves your Mac. The agent process runs on your device. Your files, sessions, memory, and agent state stay on your disk. When the agent thinks, the model call leaves your Mac, and June routes it to zero-retention models by default: nothing stored, nothing trained on.

That split matters. A cloud agent uploads your working context to someone else's computer to act on it. June's agent acts on your computer and sends out only the model calls, with identifying metadata stripped when third-party models are involved.

Fresh agent sessions run in a sandbox: writes are blocked outside the agent's workspace, and a denylist keeps it away from secrets like SSH keys and credentials. Risky actions ask for your approval before they happen. You can grant a session more freedom when a task needs it, and that choice is per session, not a global switch.

The agent can make mistakes. We say that plainly because you should hear it from us. The sandbox and approvals exist so a mistake stays an inconvenience instead of an incident.

• Research a topic and get a structured report, with web searches routed through June's privacy proxy.
• Schedule routines that run on their own, sandboxed by default.
• Search and use your own notes, transcripts, and dictation history as context. That data stays on your Mac.
• Extend the agent with skills and toolsets you can edit in the app.

June is MIT licensed and the code is public. The agent builds on the open-source Hermes framework, and the backend that routes model calls runs in a TEE with cryptographic attestation. Privacy you can verify beats privacy you are asked to believe.