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A framework for event based autonomous multi-agent systems.
| Date | Stars |
|---|---|
| 2026-07-31 | 306 |
| 2026-08-05 | 305 |
| 2026-08-06 | 305 |
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# 🧬🌍 GenWorlds - The Collaborative AI Agent Framework > [!IMPORTANT] > **⚠️ This project is DISCONTINUED.** > > But it has been reborn in its best version yet 🧬✨ > Check it out at **[genlayerlabs/genswarms](https://github.com/genlayerlabs/genswarms)**. [](https://opensource.org/license/mit/) [](https://discord.gg/VpfmXEMN66) [](https://twitter.com/yeagerai) [](https://star-history.com/#yeagerai/genworlds) **Quick install:** `pip install genworlds` **Yeager Support:** We are standing by to provide extensive support as your GenWorlds project transitions to the production phase or If you are an enterprise looking to work directly with Yeager.ai to build custom GenAI applications. Please complete [this short form](https://share.hsforms.com/1EO76EZ_CTDGCiqRYtdpkJwc4zk8) and we will be get back to you shortly. ## ⚠️ Warnings - **GenWorlds is under active development** - **Using GenWorlds can be costly due to API calls** ## 👀 About GenWorlds is the event-based communication framework for building multi-agent systems. Using a websocket, GenWorlds provides a platform for creating interactive environments where AI agents asynchronously interact with each other and their environments to collectively execute complex tasks. Drawing inspiration from the seminal research paper ["Generative Agents: Interactive Simulacra of Human Behavior"](https://arxiv.org/abs/2304.03442) by Stanford and Google researchers, GenWorlds provides a platform for creating flexible, scalable, and interactive environments where AI agents can exist, communicate asynchronously, interact with diverse objects, and form new memories. These agents communicate with the world through a WebSocket server, promoting ease of UI construction, deployment, and future scalability. The current version of GenWorlds is powered by [OpenAI's GPT API](https://openai.com/product#made-for-developers), [Langchain](https://python.langchain.com/en/latest/index.html), [Qdrant](https://cloud.qdrant.io?ref=yeagerai), and was inspired by [AutoGPT](https://github.com/Significant-Gravitas/Auto-GPT). ## 📖 The Docs Detailed information of how to use the framework can be found at [GenWorlds Docs](https://genworlds.com/docs/get-started/intro). ## 🚀 Key Features - 🌐 **Customizable Interactive Environments:** Design unique GenWorld environments, tailored to your project's needs, filled with interactive objects and potential actions for your agents. - 🎯 **Goal-Oriented Generative Autonomous Agents:** Utilize AI agents powered by Langchain that are driven by specific objectives and can be easily extended and programmed to simulate complex behaviors and solve intricate problems. - 🧩 **Shared Objects:** Populate your world with shared objects, creating opportunities for your agents to interact with their environment and achieve their goals. - 💡 **Dynamic Memory Management:** Equip your agents with the ability to store, recall, and learn from past experiences, enhancing their decision-making and interaction capabilities. - ⚡ **Scalability:** Benefit from threading and WebSocket communication for real-time interaction between agents, ensuring the platform can easily scale up as your needs grow. ## 🛠️ Getting Started ### Follow the Quickstart Guide The best way to get started with GenWorlds is to follow the [Quickstart guide](https://genworlds.com/docs/get-started/quickstart). ### Run it with the Community Tooling The easiest way to start using genworlds with a graphical UI is through the [GenWorlds-Community](https://github.com/yeagerai/genworlds-community). Then you will be able to easily connect your `GenWorld` with a Cha
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:9e6b1d10611ebbd8, llm:Repository description: 'A framework for event based autonomous multi-agent systems.' (multi-agent systems, autonomous agents)
matched fp:9e6b1d10611ebbd8, llm:Repository description: 'A framework for event based autonomous multi-agent systems.' (multi-agent systems, autonomous agents)