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Proactive Agents with Proma

Name: Proactive Agents with Proma
Author: proma-ai

Get top-level agent capabilities with Proma, a Claude Agent SDK-based tool, backed by 1.4k+ GitHub stars, for professional users.

1,478 stars193 forksTypeScriptQuality 8/10Updated 7/7/2026100% free · open source

What it does

Proma brings top-level agent capabilities to your workflow, allowing for proactive agent experiences with native support for various messaging platforms and flexible integration with large model providers.

Install / run

Clone the Proma repository from GitHub using `git clone https://github.com/proma-ai/Proma.git`

When to use it

•When you need to integrate AI-powered agents into your daily workflow for enhanced productivity
•When you require a flexible and open-source solution for building custom agent experiences
•When you want to leverage the power of large models from various suppliers within your applications

Quick start

1Navigate into the cloned repository using `cd Proma`
2Review the configuration options in the `README` file to understand how to set up Proma for your specific use case
3Explore the example use cases and documentation provided in the repository to learn how to integrate Proma with your workflow
4Set up your preferred large model supplier by following the instructions in the `README` or the official documentation
5Start the Proma server or run the examples using the commands specified in the `README` or the repository's documentation

Ready-to-paste prompt

To see Proma in action, you can try setting up a basic agent that responds to messages, using a command similar to what's described in the `README`, though the exact command may vary based on your setup and the specifics of your agent implementation

Heads up: Before using Proma, ensure you have the necessary dependencies and environment set up, including Node.js and TypeScript, as Proma is built using TypeScript and relies on Node.js for execution

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