ChesterRa/cccc
Coordinate your coding agents like a group chat — read receipts, delivery tracking, and remote ops from your phone. One pip install, zero infrastructure. A production‑minded orchestrator for 24/7 workflow observed · 2026-09-03
Health v2 · maintenance only
81/100
- Activity 100
- Release rhythm 88
- Longevity 27
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 3.0
- age_days: 383
- days_rel: 1
- days_push: 0
- n_releases_24m: 73
Adoption not part of the score
1094 stars · 92 forks observed · 2026-09-03
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
CCCC is a Python-based multi-agent orchestrator that coordinates coding agents (Claude Code, Codex CLI, ChatGPT Web, Gemini CLI, and 13+ other runtimes) like a group chat, with durable append-only ledgers, read receipts, and delivery tracking. It provides a unified control plane via Web UI, CLI, MCP, and IM bridges, installable with a single pip command and requiring no infrastructure.
Use cases
- coordinate multiple coding agents as a team
- run claude code and codex together on shared tasks
- monitor long-running agent workflows from my phone
- track which agent read and replied to which message
- orchestrate ai agents across machines without infrastructure
- assign tasks to a foreman agent and parallelize work
- bridge chatgpt web sessions into local agent workflows
- keep agent context out of terminal scrollback
When to choose
- you run multiple coding agents and lose context across terminal sessions
- you need durable, auditable coordination with delivery and read semantics
- you want one pip install with zero infrastructure and local-first state
- you need remote/mobile supervision of 24/7 agent workflows
- you want cross-vendor agents (Claude, Codex, ChatGPT Web, custom) in one group
When to avoid
- you only run a single coding agent with simple prompts
- you need a heavyweight distributed multi-agent platform with centralized cloud orchestration
- you require formal multi-agent frameworks with planner/executor abstractions rather than chat-style coordination
- your environment cannot run a local daemon
Facets
framework · maturity active
agent-framework mcp chat-interface workflow-automation developer-tools cli web-framework developer-tools large-language-models self-hosted python cli self-hosted cross-platform windows multi-agent-orchestration claude-code codex-cli gemini-cli group-chat local-first append-only-ledger zero-infrastructure mobile-ops im-bridges foreman-pattern ai-agents automation web-server macos linux
2 sources
- readme: https://github.com/ChesterRa/cccc · fetched 2026-09-03 · e0bfa7aa67af
- homepage: https://cccc.sh/ · fetched 2026-08-29 · ee02e7951331
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| ChesterRa/cccc | main | 81 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem