Control AI coding agents across teams
Run AI coding agents at team scale on the same MiraBridge Gateway. Human approvals, audit-friendly tool execution, and BYOK for every provider.
Verifiable security, not enterprise audit checklists
Every claim below maps to code in the MiraBridge Gateway. No compliance theater, no aspirational uptime numbers β just the controls we actually run.
- Argon2
Password hashing with per-user salts, no plaintext anywhere in the system.
- AES-256-GCM
Application-level encryption for tokens and sensitive workspace metadata.
- JWT rotation
Access + refresh tokens with revocation tracked by JTI.
- Approval-first
File writes, terminal commands, and risky tool calls go through an explicit human-approval gate β single, batch, or auto-approve modes are all explicit.
Visibility and limits for the whole team
Admin console, role-based access, and team usage tracking. Workspace and session boundaries are explicit at the Gateway β a tool call can't escape its assigned context.

Your Anthropic, OpenAI, and Google keys β your routing
Bring your own API keys for Claude, OpenAI, and Gemini. Route team and workspace usage through the Gateway. No shared pool, no vendor lock-in, no hardcoded model versions in your integration.
- openai
- GPT-5.5
- GPT-5.4
- GPT-5.2
- anthropic
- Claude Opus 4.7
- Claude Opus 4.6
- Claude Sonnet 4.6
- google
- Gemini 3.5 Flash
- Gemini 3.1 Flash Lite
- Gemini 2.5 Pro

Every action has a trail
Tool execution timelines, approval history, and session boundaries are first-class. Sessions move through brainstorm, TDD, and verification markers you can gate and audit later.
Run your first agent session in under five minutes
Install the editor extension, sign in once, and start orchestrating. Free to try. Bring your own keys if you prefer.