intentkit

Name: intentkit
Author: crestalnetwork

Verified

IntentKit is an open-source, self-hosted cloud agent cluster that manages a collaborative team of AI agents for you.

6,508stars

714forks

Python

Installation

# Add to your Claude Code skills
git clone https://github.com/crestalnetwork/intentkit

Getting Started

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Security ReportVerified

Last scanned: 4/18/2026

{
  "issues": [],
  "status": "PASSED",
  "scannedAt": "2026-04-18T05:43:48.937Z",
  "semgrepRan": false,
  "npmAuditRan": true,
  "pipAuditRan": true
}

README.md

Frequently Asked Questions

What is intentkit?

intentkit is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by crestalnetwork. IntentKit is an open-source, self-hosted cloud agent cluster that manages a collaborative team of AI agents for you. It has 6,508 GitHub stars.

Is intentkit safe to use?

Yes. intentkit passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install intentkit?

Clone the repository with "git clone https://github.com/crestalnetwork/intentkit" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is intentkit written in?

intentkit is primarily written in Python. It is open-source under crestalnetwork on GitHub, so you can review or fork the full source.

Are there alternatives to intentkit?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh intentkit against similar tools.

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⚠️ Third-Party Software Notice

This skill is third-party open-source software developed and hosted independently on GitHub. SkillsLLM is an informational directory and does not control or maintain the underlying repository.

Any security checks, ratings, or warnings displayed by SkillsLLM are automated and limited in scope. They do not constitute a security certification or guarantee that the software is safe, error-free, or free from malicious code, vulnerabilities, compromised dependencies, or prompt-injection risks.

Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.

Read the Terms of Service

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IntentKit

IntentKit is an open-source, self-hosted cloud agent cluster that manages a collaborative team of AI agents for you.

Why IntentKit

Current AI agents generally follow two paths:

Local-First (e.g., OpenClaw): These serve as personal assistants or experimental tools. However, they often require expensive hardware and extensive local permissions.
Cloud-Native: Similar to modern web apps, these run in the cloud, consume minimal local resources, require zero maintenance, and offer high reliability for completing tasks.

If you are looking for a robust, cloud-native solution, IntentKit is for you.

Features

☁️ Cloud-Native: Ultimate resource efficiency.
🔒 Secure by Design: Agents are fundamentally unable to access any of your secret keys.
🤖 Collaborative AI: Multiple agents that can call and interact with each other.
🔄 Out-of-the-Box Ready: Fully configured and ready to use.
🔗 Crypto-Friendly: Optional Web3 and blockchain integrations.
🐦 Social Media Integration: Seamlessly connects with social platforms.
🛠️ Extensible Skill System: Easily add new capabilities.

Documentation

Please check out the Documentation before getting started.

Deployment

Read the Deployment Guide to get started with your setup.

Other Use Cases

Besides self-deploying IntentKit, you can also use the project in the following ways:

As a Python Library: Import and extend IntentKit, or use it to add agent cluster capabilities to your existing projects.
Via API: Regardless of the deployment method, you can interact with agents from external applications via the built-in API endpoints.

Contributing

Due to the rapid pace of AI development, we currently do not accept code contributions via Pull Requests. However, submitting feature requests and reporting bugs in the GitHub Issues section is highly appreciated and the best way to contribute.

License

This project is licensed under the MIT License - see the LICENSE file for details.