OpenAI Codex
Great for hands-on implementation, tests, reviews, and long project changes.
Multi-Agent Hub
MAH connects OpenAI Codex, Claude Code, Cursor Agent, GitHub Copilot, and Google Antigravity so your project can move through the best agent for each step.
Stop choosing one AI tool for everything. Put the work in one place, let agents take turns, and keep the result easy to review.
Works with the agents people already know
MAH works with the tools your team already signs into. This is the trust shortcut: users see familiar agents, while MAH gives them one place to start, track, and continue the work.
Great for hands-on implementation, tests, reviews, and long project changes.
Strong at understanding a large codebase, planning careful changes, and explaining tradeoffs.
Useful for fast editor-native iteration when the work needs to stay close to the files.
Fits GitHub-shaped work such as issues, branches, pull requests, docs, and cleanup tasks.
Adds Gemini-powered agent work when Antigravity is configured on the machine.
What users feel
Ask for the outcome once. MAH can hand work across Codex, Claude Code, Cursor Agent, GitHub Copilot, and Google Antigravity instead of making you restart the context every time.
Keep your project center in MAH, then bring the agent that is strongest for the next step. If one agent stalls, another can continue the work.
Queue bigger tasks, let agents take a run at them, and return to a clean view of what changed, what passed, and what still needs you.
Your files, credentials, and project setup stay anchored on your machine while MAH coordinates the agent work around them.
Why people use it
Tests, docs, refactors, release notes, cleanup, and small fixes can move while you focus on decisions.
Send the same project context to another agent for review, repair, or a different approach.
MAH keeps the task, agent, files, and result together so progress is not trapped in a chat window.
How it works
01
Tell MAH what you want done in plain language: fix this, research that, prepare a release, write the docs.
02
Choose one agent yourself or let MAH route work across the agents already configured on your machine.
03
See what changed, what was checked, and where a human decision is still needed.
04
Follow-up work can continue from the same project state instead of rebuilding context from scratch.
Packages
Every package includes the same MAH capabilities. Purchases change seats, account machines, and monthly agent time only.
Ready to stop juggling agents?