GitHub - BeeBot

Description

BeeBot is an Autonomous AI Agent hosted on GitHub, designed to autonomously perform a wide range of practical tasks. The project is currently on hold, as the developer believes current LLMs are not yet capable of generalized autonomous AI. The project may be revived if LLMs improve significantly, a custom model is developed, or a specific subset of tasks is identified.

BeeBot's core functionality includes tool selection via AutoPack, the ability to acquire more tools during task execution, built-in persistence, and a REST API conforming to the e2b standard. It also features a websocket server for event publishing, swappable filesystem emulation, and a web UI (coming soon). The project emphasizes functionality, flexibility, and reliability, prioritizing these aspects over developer convenience. The development process is guided by a specific philosophy, focusing on tool selection, LLM specialization, and unorthodox methodologies to increase development speed.

BeeBot's architecture and future plans are detailed in the docs/ directory. The project uses AutoPack as the package manager for its tools and leverages various LLMs. The project's priorities are functionality, flexibility, reliability, efficiency, and convenience. The project uses end-to-end tests instead of unit tests. The project is open-source and welcomes contributions and feedback from the community. The project is written primarily in Python.

To get started, users can clone the repository and install dependencies using poetry. Persistence is required, with Postgres via Docker recommended. The CLI can be run using `poetry run beebot API`. The server can be started using `uvicorn`. The API can be called using curl commands. A websocket connection is available at the /notifications endpoint. The project is actively seeking contributions and feedback.

GitHub's Core Features

• Autonomous task execution

• Tool selection via AutoPack

• Built-in persistence

• REST API conforming to e2b standard

• Websocket server for event publishing

• Swappable filesystem emulation

• Web UI (coming soon)

• Dynamic history manipulation

• Built-in caching with Helicone

• Focus on functionality and flexibility

• Uses end-to-end tests

• Open-source project

Getting Started with GitHub

1. 1

   Developer: Clone the repository using git clone https://github.com/AutoPackAI/beebot.git

2. 2

   Developer: Navigate to the project directory using cd beebot

3. 3

   Developer: Install dependencies using poetry install

4. 4

   Developer: Configure persistence (Postgres via Docker recommended)

5. 5

   Developer: Run the CLI using poetry run beebot API

6. 6

   Developer: Start the server using uvicorn beebot.initiator.api:create_app --factory --timeout-keep-alive=300

7. 7

   Developer: Interact with the API using curl commands to create and execute tasks

GitHub's Use Cases

• Automated Task Execution
• AI Assistant Development
• Tool Integration
• API Interaction
• Websocket Notifications
• Experimentation with AI
• Workflow Automation
• Research and Development

FAQ from GitHub

• What is BeeBot?

  BeeBot is an Autonomous AI Assistant designed to perform a wide range of practical tasks autonomously.

• What is the current status of BeeBot?

  Development of BeeBot is currently on hold.

• Why is BeeBot on hold?

  The developer believes that current LLMs are not up to the task of generalized autonomous AI.

• What are the key features of BeeBot?

  Key features include tool selection, built-in persistence, a REST API, and a websocket server.

• What is AutoPack used for?

  AutoPack is used for tool selection and management.

• How can I get started with BeeBot?

  You can clone the repo, install dependencies using poetry, and configure persistence.

• What is the recommended persistence method?

  It is highly recommended that you use Postgres via docker.

• How do I run the CLI?

  Run poetry run beebot API.

• How do I start the server?

  Run uvicorn beebot.initiator.api:create_app --factory --timeout-keep-alive=300.

• Where can I find documentation?

  Refer to the docs/ directory for further information.

• Is BeeBot open source?

  Yes, BeeBot is an open-source project.

• How can I contribute?

  Contributions and feedback from the community are highly appreciated.