cccc vs agent-bridge

Coding-agent collaboration tools compared

cccc and agent-bridge help coding agents collaborate, but serve different needs. cccc provides a broader coordination layer for persistent groups, while agent-bridge focuses on relaying messages between Claude Code and Codex in a local workflow.

ccccagent-bridge
LanguageRustTypeScript
LicenseApache-2.0MIT
Stars1.3k370
Forks11160
Last analyzedOct 21, 2026Oct 3, 2026

Key differences

  • cccc coordinates supported runtimes in groups with durable message history, delivery and reply tracking, and task and context stores; agent-bridge relays messages between Claude Code and Codex.
  • cccc offers a daemon-controlled Web UI, CLI, MCP tools, and supported chat-platform bridges; agent-bridge centers on a local daemon connecting Claude’s MCP channel to Codex’s app-server.
  • cccc is written in Rust and licensed under Apache-2.0; agent-bridge is written in TypeScript and licensed under MIT.
  • cccc supports group connections across instances with explicit access boundaries; agent-bridge supports multiple project pairs on one machine, with one Codex thread and one foreground Claude connection per pair.
  • cccc lists Linux x86-64, Apple Silicon macOS, and Windows x86-64 support; agent-bridge requires Bun and does not officially support Windows.
  • cccc is suited to teams coordinating persistent, mixed-runtime workflows; agent-bridge targets developers who already use Claude Code and Codex and want peer collaboration.

Choose cccc if you…

  • need persistent group coordination across supported agent runtimes.
  • want durable delivery, read, reply, and task status in a shared history.
  • need Web, CLI, MCP, or chat-platform controls for ongoing group operations.
Read the cccc analysis →

Choose agent-bridge if you…

  • want Claude Code and Codex to relay messages and review each other’s work.
  • need a local bridge for handoffs between those two tools without manual copy-paste.
  • want to manage multiple Claude Code and Codex project pairs on one machine.
Read the agent-bridge analysis →

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This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.