cccc vs codeg
AI coding-agent coordination projects compared
cccc and codeg both help developers coordinate multiple AI coding agents. cccc centers on persistent groups, durable message tracking, and a daemon-owned control plane, while codeg centers on a shared workspace for agent sessions, code changes, and tasks through ACP.
cccc: Coordinate Coding Agents as a Persistent Group Chat
CCCC is a local-first, Rust-based coordinator for running coding agents as a persistent team across runtimes, machines, and trusted groups. It provides durable message history, delivery tracking, and Web and IM access, with installers for Linux, Apple Silicon macOS, and Windows.
codeg: Coordinate AI Coding Agents with Agent Client Protocol
Codeg is a collaborative workspace for running and coordinating AI coding agents through the Agent Client Protocol. It brings agent conversations, sessions, code changes, and tasks into one experience across desktop, self-hosted server, Docker, and mobile.
| cccc | codeg | |
|---|---|---|
| Language | Rust | Rust |
| License | Apache-2.0 | Apache-2.0 |
| Stars | 1.3k | 4k |
| Forks | 111 | 518 |
| Last analyzed | Oct 21, 2026 | Oct 19, 2026 |
Key differences
- cccc coordinates agents in persistent groups with an append-only collaboration ledger; codeg organizes agent conversations, sessions, code changes, and tasks in a shared workspace.
- cccc emphasizes delivery, read, reply, and task-completion status; codeg emphasizes session history, live diffs, delegation, and parallel work in isolated Git worktrees.
- cccc provides Web, CLI, MCP, and chat-platform controls; codeg provides desktop, server, Docker, mobile, and CLI access, plus chat integrations.
- cccc connects groups across instances with explicit access boundaries; codeg supports repository workflows across GitHub, GitLab, Gitea, and Forgejo.
- Both are written in Rust and use Apache-2.0. The supplied project facts list 1.3k stars and 113 forks for cccc, and 4k stars and 518 forks for codeg.
- cccc is aimed at persistent, mixed-runtime agent coordination; codeg targets developers and teams managing agent sessions and code work across multiple environments.
Choose cccc if you…
- need durable group messages with explicit delivery, read, and reply tracking.
- want a daemon-based control plane with Web, CLI, MCP, and chat-platform controls.
- coordinate persistent agent groups across instances or machines.
Choose codeg if you…
- want a shared workspace for agent conversations, sessions, code changes, and tasks.
- need to delegate parallel agent work in isolated Git worktrees.
- want desktop, self-hosted, Docker, or mobile access, or a CLI for scripts and CI.
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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.