Cotal-AI/Cotal
The open standard for agent coordination
Star History
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+10
STARS · LAST 30 DAYS
1
PER DAY
#777
MOST-STARRED TypeScript
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
Cotal gained 10 stars in the last 30 days, about 1 a day, and now has 307. It is about 1 year old and has averaged roughly 307 stars a year. It ranks #777 among TypeScript repositories and #6,926 across all languages on GitHubRepo.
Trending Record
1
DAYS ON TRENDING
#6634
BEST RANK
Oct 2, 2026
FIRST APPEARANCE
Active
STATUS TODAY
Cotal has maintained a continuous presence across global trending indexes, peaking at #6634. Below is the 30-day activity profile:
💡 Overview
Cotal is an open-source project written in TypeScript: The open standard for agent coordination.
Engineered for speed, consistency, and developer ease, it solves common hurdles in a2a, agent-communication, agent-mesh. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in TypeScript for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ npm install Cotal⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Node.js >= 18, npm, pnpm or bun
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
Cotal coordinates its core functionality through a modular TypeScript 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 Cotal.
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
Install Cotal using your package manager: `npm install Cotal`
Initialize your project workspace or configuration file for Cotal.
Import Cotal into your codebase or invoke it directly from your terminal.
Execute your test suite or run `Cotal --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with TypeScript, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
Cotal-AI/Cotal is currently ranked #6,926 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #6,912 | bikeindex/bike_index | Ruby | ★ 308 | Compare ↗ |
| #6,912 | cosmin/git-hg | Shell | ★ 308 | Compare ↗ |
| #6,912 | socketry/multipart-post | Ruby | ★ 308 | Compare ↗ |
| #6,912 | profullstack/hqtui | TypeScript | ★ 308 | Compare ↗ |
| #6,912 | Elnix90/Dragon-Launcher | Kotlin | ★ 308 | Compare ↗ |
| #6,926 | Cotal-AI/Cotal This Project | TypeScript | ★ 307 | |
| #6,926 | pelle/oauth | Ruby | ★ 307 | Compare ↗ |
| #6,926 | ippa/chingu | Ruby | ★ 307 | Compare ↗ |
| #6,926 | go-playground/locales | Go | ★ 307 | Compare ↗ |
| #6,926 | Codeinwp/neve | PHP | ★ 307 | Compare ↗ |
| #6,926 | kubernetes/cli-runtime | Go | ★ 307 | Compare ↗ |
Frequently Asked Questions
What does Cotal do? +
The open standard for agent coordination
What language is Cotal written in? +
The primary language is TypeScript. Topics include: a2a, agent-communication, agent-mesh, agent-orchestration, agent-skills.
Is Cotal actively maintained? +
Yes, the last recorded push was on Oct 2, 2026 with 203 open issues being tracked.
How many stars does Cotal have? +
Cotal has 307 stars and 37 forks on GitHub.
How does Cotal rank among GitHub repositories? +
With 307 stars, Cotal-AI/Cotal is ranked #6,926 globally across all repositories tracked on GitHubRepo and #777 among TypeScript projects.
What license is Cotal distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
