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        "description": "# Agent OS \n\ud83c\udf1e Build autonomous AI agents!\n\n\ud83d\udee0\ufe0fThe Agent OS is an experimental framework and runtime to build sophisticated, long running, and self-coding AI agents.\n\nWe believe that the most important super-power of AI agents is to write and execute their own code to interact with the world. But for that to work, they need to run in a suitable environment\u2014a place designed to be inhabited by agents. The Agent OS is designed from the ground up to function as a long-term computing substrate for these kinds of self-evolving agents.\n\n\u2753If you want to understand the motivation behind the project, read the [manifesto](docs/articles/manifesto.md).  \n\u2753To learn how everything works, start reading the [design docs](docs/design/design.md).\n\nIn short:\n\n  - Think of the Agent OS as a *substrate* that is designed for the next generation of robust [Auto-GPTs](https://github.com/Significant-Gravitas/Auto-GPT).\n  - The current version is implemented in Python, but the runtime and protocol is designed to work with many different programming languages, and the runtime should eventually be rewritten in a systems language. The current runtime is a prototype (but a serious one).\n  - The framework plays well with other AI libraries such as LangChain or LlamaIndex.\n  - The system is designed for \"[local-first](https://www.inkandswitch.com/local-first/)\" agents that run on your machine, but it should also be possible to run parts of an agent in the cloud.\n  - The data layer is made for longevity. We introduce a novel data structure that is inspired by Git. It's a content addressable storage that maintains your agent's history and memory and makes sure you never lose data.\n  - An agent's primary purpose is not to run large language models on your machine (although that's possible too), but to provide a place to execute the code and functions that are generated by these models. It then composes these functions into larger features and routes events and data to them.\n  - To demonstrate the power of the Agent OS, this project comes with a demo agent called [\"Jetpack\"](agents/README.md#jetpack) that can chat with you and write self-executing programs.\n\n\n<p><a href=\"https://www.youtube.com/watch?v=7HJXUMCDFks\" target=\"_blank\"><img src=\"docs/images/screenshot.png\" alt=\"Jetpack Demo Video\" width=\"700\" /></a>\n<br>\n<small>Click the the image to watch a short demo on YouTube.</small>\n</p>\n\n\n## Getting Started\nAs long as the project is still in alpha, the best way to get started is to clone this repository.\n\nRequires Python >= 3.10 and [Poetry](https://python-poetry.org/). Works on Linux, macOS, and Windows.\n\nOnce cloned, `cd` into the repository and run:\n```\npoetry install\n```\n\nThe project comes with a CLI that can be used to initiate and run agents. To see the available commands run:\n```\npoetry run aos --help\n```\n\n## Test Drive an Agent \ud83e\udd16 \nTo run your first agent, put an `.env` file in the project root that contains an OpenAI API key. (It also works without an `.env` file or key if you just want to give the project a quick spin.)\n```\nOPENAI_API_KEY=sk-myspecialkey\n```\n### Agent Dependencies\nSome of the dependencies for the demo agents are optional and not part of the core Agent OS source. To install them, run:\n```\npoetry install --with agents\n```\n\n### Jetpack Agent\nThe [\"Jetpack\" agent](agents/README.md) demonstrates what the Agent OS can do and is geared towards end-to-end code generation and execution. It's a conversational agent that can accomplish various tasks for you. To run it, execute the following commands:\n```\npoetry run aos -d agents/jetpack/ push\npoetry run aos -d agents/jetpack/ run\n```\n\nJetpack comes with a web interface, and the Agent OS hosts a web server. To access the interface, browse to http://127.0.0.1:5000/ag/jetpack/wit/actors/frontend/query/web\n\n\n\n## Project Structure\n\n* `agents/`: examples of agent implementations. [See the folder](agents/) for more details.\n  * `jetpack/`: the flagship agent demo, geared towards conversational task completion through code generation.\n* `src/`: contains all relevant modules that are part of the Agent OS.\n  * `grit/`: object store, inspired by Git.\n  * `wit/`: libraries to help write \"wit\" state transition functions\n  * `runtime/`: the Agent OS runtime: actor executor, custom python module loader, and wit function resolver.\n  * `sync/`: modules to push and pull data into grit from the developer's file system.\n  * `web/`: the web server that provides the web interface.\n  * `cli/`: the \"aos\" (agent OS) CLI.\n* `tests/`: extensive unit tests that cover most of the `/src` packages \nand modules.\n* `docs/`: documentation, intended to be rendered as a GitBook.\n\n## Running the Tests\nIf you want to hack on the code, it is helpful to run the tests. The project uses `pytest` and has almost 100 unit tests.\n```\npoetry run pytest tests/\n```\n",
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