AI Bridge runs Claude Code, Codex, Grok and OpenCode side by side on your Mac: each the real CLI in a real terminal, on your own subscription. Group your agents like a team, by department or by what each one owns. Open a Kubernetes cluster or talk to your database in plain words, right beside them. Prefer terminals? The Grid puts them all on one wall, with cluster and database chats where you need them. Open as many windows as you like, and put agents in Slack that reply when you approve.
I built AI Bridge to solve a few of my own problems. Since Claude Code and Codex arrived, I've worked mostly in terminals. I've almost completely stopped using VS Code, except to change the odd .env file: my whole workflow shifted to investigating and approving code with agents in the terminal.
The whole Cursor revolution flew over my head. I had a Cursor subscription from work, but I barely used it; I never felt I needed to look at the codebase in its entirety. If I needed something, I asked AI to find it and show me the file in the terminal. If I needed a change, I asked AI to make it, then watched and approved.
💡 Then a friend showed me a tool for managing agents, and it was my light-bulb moment: making agents easier to manage is the right idea, but that implementation didn't fit my workflow. That's when I started building AI Bridge.
😩 The pain A pile of terminal windows to manage. I'd rather have a session only for frontend and design work, without polluting its context with database queries, cluster checks or random support requests from colleagues. I wanted to group agents by department or area within a company, with my personal projects and consultancy work in the same app.
🛠 What AI Bridge does for me
🗂 Groups my agents (the real CLIs) by the job they do rather than by repo, still in a terminal view.
🗄 Lets me chat to a database and see the data directly. Before, I'd ask an agent to query it, with no proper way to see the results unless I opened phpMyAdmin or Postico.
☸️ Connects to Kubernetes clusters directly: I can see pods update, check that External Secrets, Argo or Flux has synced, or explore the cluster visually. AI can check a cluster's health quickly, but so can an experienced engineer with a good visual, and for me that's faster than asking another agent.
💬 Connects an agent to a Slack channel. When a colleague asks me a DevOps or platform question, it comes into AI Bridge and I approve it. The agent runs from my terminal with the permissions I gave it, and I approve the reply before it goes back to Slack.
🔲 Gives me the Grid when I want the same feel as zsh and my other terminals, plus everything above.
🔁 Moves Claude Code and Codex sessions between computers: with AI Bridge on both laptops, I export on one and import on the other.
👋 About me
Over the last few years I've been a cloud lead, principal engineer and head of engineering, and I run my own consultancy helping clients with infrastructure, automation, compliance and internal tooling. If you work across the full stack, cloud, product and support, you'll find it helpful.
I use it every day in my own job, and I'd love to hear what you'd want it to do next.
Grouping agents by the job they do, rather than by repo, is a useful shift in framing. A frontend session should not have its context polluted by database queries, cluster checks, or support questions, and keeping each agent as the real CLI in a real terminal avoids hiding that context behind another abstraction. The session portability between computers is also practical for anyone who splits work across two laptops. Using your own kubeconfig and credentials for the Kubernetes view, so existing RBAC still governs what an agent can see, keeps that convenience from quietly bypassing access controls.
When several agents are grouped as a team, can they see each other's output, or is each terminal fully isolated? I'd also like to know how the Kubernetes view handles read-only access.
About AI Bridge on Product Hunt
“Every AI coding agent on your Mac, in its place”
AI Bridge launched on Product Hunt on October 26th, 2026 and earned 85 upvotes and 4 comments, placing #17 on the daily leaderboard. AI Bridge runs Claude Code, Codex, Grok and OpenCode side by side on your Mac: each the real CLI in a real terminal, on your own subscription. Group your agents like a team, by department or by what each one owns. Open a Kubernetes cluster or talk to your database in plain words, right beside them. Prefer terminals? The Grid puts them all on one wall, with cluster and database chats where you need them. Open as many windows as you like, and put agents in Slack that reply when you approve.
AI Bridge was featured in Mac (103.8k followers), Developer Tools (521.9k followers) and Artificial Intelligence (482.1k followers) on Product Hunt. Together, these topics include over 233.2k products, making this a competitive space to launch in.
Who hunted AI Bridge?
AI Bridge was hunted by Stas. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how AI Bridge stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Stas
Hey Product Hunters 👋
I built AI Bridge to solve a few of my own problems. Since Claude Code and Codex arrived, I've worked mostly in terminals. I've almost completely stopped using VS Code, except to change the odd .env file: my whole workflow shifted to investigating and approving code with agents in the terminal.
The whole Cursor revolution flew over my head. I had a Cursor subscription from work, but I barely used it; I never felt I needed to look at the codebase in its entirety. If I needed something, I asked AI to find it and show me the file in the terminal. If I needed a change, I asked AI to make it, then watched and approved.
💡 Then a friend showed me a tool for managing agents, and it was my light-bulb moment: making agents easier to manage is the right idea, but that implementation didn't fit my workflow. That's when I started building AI Bridge.
😩 The pain A pile of terminal windows to manage. I'd rather have a session only for frontend and design work, without polluting its context with database queries, cluster checks or random support requests from colleagues. I wanted to group agents by department or area within a company, with my personal projects and consultancy work in the same app.
🛠 What AI Bridge does for me
🗂 Groups my agents (the real CLIs) by the job they do rather than by repo, still in a terminal view.
🗄 Lets me chat to a database and see the data directly. Before, I'd ask an agent to query it, with no proper way to see the results unless I opened phpMyAdmin or Postico.
☸️ Connects to Kubernetes clusters directly: I can see pods update, check that External Secrets, Argo or Flux has synced, or explore the cluster visually. AI can check a cluster's health quickly, but so can an experienced engineer with a good visual, and for me that's faster than asking another agent.
💬 Connects an agent to a Slack channel. When a colleague asks me a DevOps or platform question, it comes into AI Bridge and I approve it. The agent runs from my terminal with the permissions I gave it, and I approve the reply before it goes back to Slack.
🔲 Gives me the Grid when I want the same feel as zsh and my other terminals, plus everything above.
🔁 Moves Claude Code and Codex sessions between computers: with AI Bridge on both laptops, I export on one and import on the other.
👋 About me
Over the last few years I've been a cloud lead, principal engineer and head of engineering, and I run my own consultancy helping clients with infrastructure, automation, compliance and internal tooling. If you work across the full stack, cloud, product and support, you'll find it helpful.
I use it every day in my own job, and I'd love to hear what you'd want it to do next.