by SeemSeam
Visible multi-agent CLI workspace for mixing Codex, Claude, Gemini, Kimi, Qwen, Cursor, Copilot, Pi, OpenCode, and other AI coding agents
# Add to your Claude Code skills
git clone https://github.com/SeemSeam/claude_codex_bridgeGuides for using ai agents skills like claude_codex_bridge.
Last scanned: 5/10/2026
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"status": "PASSED",
"scannedAt": "2026-05-10T06:32:58.802Z",
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}claude_codex_bridge is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by SeemSeam. Visible multi-agent CLI workspace for mixing Codex, Claude, Gemini, Kimi, Qwen, Cursor, Copilot, Pi, OpenCode, and other AI coding agents. It has 3,243 GitHub stars.
Yes. claude_codex_bridge passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/SeemSeam/claude_codex_bridge" and add it to your Claude Code skills directory (see the Installation section above).
claude_codex_bridge is primarily written in Python. It is open-source under SeemSeam on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh claude_codex_bridge against similar tools.
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A lightweight multi-agent TUI with a stable cross-provider collaboration layer Coordinate Codex, Claude, Gemini, and other CLI agents in visible, controllable workflows you can take over
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Quick Start · Mobile App · Rich Mode · Configure Agents · User Guide · Developer Guide
A -> B -> C, A,B -> C, and A -> B,C.Install or update with npm:
npm install -g @seemseam/ccb
After CCB is installed, use CCB's updater:
ccb update
If npm is not convenient in your environment, download the matching package from Releases, unpack it, and install:
tar -xzf ccb-*.tar.gz
cd ccb-*
./install.sh install
Source install is intended only for development or temporary fallback:
git clone https://github.com/SeemSeam/claude_codex_bridge.git
cd claude_codex_bridge
./install.sh install
Source install links global ccb / ask back to the checkout. Regular users should prefer the npm package.
Run this from your working directory:
ccb
If startup reports that .ccb cannot be created automatically or that the project anchor is missing, create .ccb manually:
mkdir -p .ccb
A blank project starts light: CCB opens one main window with a single agent named demo, selecting the first supported CLI available on the machine (Codex, Claude, Gemini, then other providers). It no longer mounts a multi-agent team by default.
Click the ⚙ Settings icon at the top-left of the CCB sidebar to open the local configuration control panel. You can also run ccb config ui from the project directory.
The panel edits windows, pane splits, providers, models, thinking levels, API overrides, workspaces, Rich mode, and sidebar settings. It validates changes before saving and supports reload dry-runs and guarded hot reload. Saving creates .ccb/ccb.config and pins the selected provider and topology for this project.
For an advanced multi-agent topology, edit it visually or create .ccb/ccb.config manually. In v2 [windows], , and ; control vertical stacking and horizontal splits inside each window, so A,B;C,D is close to a four-pane layout.
version = 2
[windows]
main = "main:codex"
work = "worker1:codex(worktree), worker2:claude(worktree)"
review = "reviewer:claude, qa:gemini"
[ui.sidebar]
mode = "every_window"
width = "15%"
bottom_height = 20
agents_height = "50%"
comms_height = "15%"
tips_height = "35%"
comms_limit = 3
Validate the config and start the workspace:
ccb config validate
ccb
You can type directly in any agent pane, or let agents collaborate:
/ask reviewer review the latest parser changes and list blocking issues.
Agents can also call /ask during workflow orchestration to delegate and hand off work. Use agent memory or the project-wide shared memory file .ccb/ccb_memory.md for durable coordination.
The recommended way to control CCB from a phone can connect to all CCB projects, control each agent, accept voice input, and transfer files.
ccb update mobile
This command guides installation and configuration.
CCB 8.1.2 includes the Flutter CCB Mobile source in mobile/ and publishes the Android APK through GitHub Releases:
mobile/applib/mobile_gatewayThe phone app is a remote controller for real CCB projects running on a server. It can discover mounted projects from the server-wide mobile gateway, switch windows and agents, render agent conversation context, send text through pane-native input, open a terminal view, and upload/download images and documents through the authenticated gateway.
Safety boundary:
127.0.0.1:8787.Browse file trees, open files, edit documents, and preview media inside the terminal.
ccb update rich
After rich mode is enabled, plain ccb opens the rich WezTerm launcher automatically unless it is already running inside a CCB-managed rich WezTerm session. Run ccb uninstall rich to return to normal terminal startup.
CCB supports Agent Roles Spec, a host-neutral specification for packaging specialist agents. It can bundle skills, memory, and tool dependencies into installable, mountable, and removable Role Packs. That repository also serves as the public role catalog.
| Role | Purpose |
|---|---|
agentroles.ccb_self |
CCB self-maintenance, config help, runtime diagnosis, protected recovery, and workflow orchestration. |
agentroles.archi |
Architecture review, boundary checks, coupling analysis, maintainability risks, and follow-up gate advice. |
agentroles.frontend_engineer |
Frontend design and implementation, design systems, accessibility, browser QA, and reviewed AGY delegation. |
agentroles.mobile_app_engineer |
Mobile design and implementation for iOS, Android, React Native, Expo, Flutter, SwiftUI, Jetpack Compose, and more. |
agentroles.mother |
Role creation, role source audit, role research, blueprint design, and Agent R |