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ChesterRa
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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

Rust ◇ ai-agents Apache-2.0
★1.3KSTARS
⑂111FORKS
!15ISSUES
🏆#7,489GLOBAL RANK
🔥45DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

cccc is cccc is an open-source project written in Rust: 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..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), ChesterRa/cccc has accumulated 1,295 GitHub stars and 111 forks. It is written in Rust, licensed under Apache-2.0, and ranks #7,489 globally. It is actively maintained with the latest commit recorded on Nov 4, 2026.”
Repository ChesterRa/cccc ↗
Primary Category ai agents
Language & Stack Rust
Software License Apache-2.0
Community Traction ★ 1.3K stars · ⑂ 111 forks · #7,489 globally
Maintenance ● Active (Last commit: Nov 4, 2026) · 15 open issues
Target Audience Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 97/100 · Grade A+
✅
Is cccc actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, cccc is actively maintained. Continuous telemetry recorded the last code commit on Nov 4, 2026 (10 days ago). Supported by 1,295 stars and 111 community forks, this repository holds a calculated health index of 97/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Nov 4, 2026
10 days since last push
Issue Backlog
15 Open Issues
Healthy Issue Cadence
Community Backing
111 Forks
1.3K Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for ChesterRa/cccc
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Momentum

+36

STARS · LAST 30 DAYS

1

PER DAY

#731

MOST-STARRED Rust

Window7 days30 days90 days
Stars gained+0+36+90
Per day111
Forks gained+0+0+10

cccc gained 36 stars in the last 30 days, about 1 a day, and now has 1.3K. It is about 1 year old and has averaged roughly 1.3K stars a year. It ranks #731 among Rust repositories and #7,489 across all languages on GitHubRepo.

Trending Record

cccc has maintained a continuous presence across global trending indexes, peaking at #1557. Below is the 30-day activity profile:

💡 Overview

cccc is an open-source project written in Rust: 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.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-agents, chatgpt, claude-code. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Rust for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ cargo install cccc

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Rust toolchain (rustc / cargo >= 1.70)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

cccc coordinates its core functionality through a modular Rust pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with cccc.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install cccc using your package manager: `cargo install cccc`

2

Initialize your project workspace or configuration file for cccc.

3

Import cccc into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `cccc --help` to verify successful setup.

👍 Strengths

Active community backing with 1,253 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Rust for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Rust and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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ultraworkers/claw-code ★ 194.8K Rust

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farion1231/cc-switch ★ 151.2K Rust

A cross-platform desktop All-in-One assistant for Claude Code, Codex, OpenCode,DeepSeek Harness and more. Only official website: ccswitch.io

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C
openai/codex ★ 134.9K Rust

Lightweight coding agent that runs in your terminal

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👥 Who Should Use This

Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

ChesterRa/cccc is currently ranked #7,489 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#7,480 theMackabu/ant C ★ 1.3K Compare ↗
#7,485 fluent/fluentd-kubernetes-daemonset Ruby ★ 1.3K Compare ↗
#7,485 LINBIT/linstor-server Java ★ 1.3K Compare ↗
#7,485 microsoft/PowerPlatformConnectors C# ★ 1.3K Compare ↗
#7,485 alexgaoth/awesome-reverse-engineered Python ★ 1.3K Compare ↗
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Frequently Asked Questions

What does cccc do? +

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

Is cccc actively maintained in 2026? +

Yes, cccc is actively maintained. The latest code push was recorded on Nov 4, 2026 (10 days ago). It holds a calculated Maintenance Health Score of 97/100 (A+ rating) with 1,295 stars and 15 open issues.

What language is cccc written in? +

The primary language is Rust. Topics include: ai-agents, antigravity, chatgpt, claude-code, codex-cli.

How many stars does cccc have? +

cccc has 1,295 stars and 111 forks on GitHub.

How does cccc rank among GitHub repositories? +

With 1,295 stars, ChesterRa/cccc is ranked #7,489 globally across all repositories tracked on GitHubRepo and #731 among Rust projects.

What license is cccc distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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