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BeeBot logoBeeBot

Your personal worker bee for autonomous task execution

BeeBot is an Autonomous AI Assistant designed to perform a wide range of practical tasks independently. It features tool selection, persistence, and a REST API, aiming for functionality, flexibility, and reliability in task execution.

Details

BeeBot: Your Autonomous AI Assistant

Overview

BeeBot is an innovative Autonomous AI Assistant designed to be your personal worker bee, capable of performing a wide range of practical tasks independently. While currently on hold due to limitations in current Large Language Models (LLMs), BeeBot represents a promising approach to AI-driven task automation.

Key Features

  • Tool Selection: Utilizes AutoPack for dynamic tool selection and acquisition during task execution
  • Built-in Persistence: Ensures task continuity and data retention
  • REST API: Conforms to the e2b standard for seamless integration
  • Websocket Server: Publishes all events occurring within BeeBot
  • Flexible File System Emulation: Supports in-memory, on-disk, or database storage
  • Web UI: Planned feature for easy task management
  • Dynamic History Manipulation: Allows for adaptive task execution
  • Caching: Built-in caching with Helicone when enabled

Installation and Setup

BeeBot can be installed by cloning the GitHub repository and using poetry for dependency management. While primarily developed for Unix-like systems, Windows compatibility may be possible with community support.

git clone https://github.com/AutoPackAI/beebot.git
cd beebot
./setup.sh

Running BeeBot

BeeBot can be run via CLI or as an API server:

  • CLI: poetry run beebot
  • API: uvicorn beebot.initiator.api:create_app --factory --timeout-keep-alive=300

Development Philosophy

BeeBot's development is guided by a set of priorities and principles:

Priorities

  1. Functionality
  2. Flexibility
  3. Reliability
  4. Efficiency
  5. Convenience

Principles

  • Tool-focused approach
  • LLM specialization
  • Functionality and flexibility first
  • Unorthodox methodologies for rapid development
  • Adoption of proven concepts

Future Directions

While currently on hold, BeeBot's development may resume when:

  • LLMs significantly improve in structured thinking and reliability
  • A custom model for Autonomous AI is developed or fine-tuned
  • A specific subset of tasks where BeeBot excels is identified

Conclusion

BeeBot represents an ambitious project in the field of Autonomous AI Assistants. Its focus on functionality, flexibility, and reliability, combined with innovative features like dynamic tool selection and persistence, positions it as a potentially powerful solution for automated task execution. As LLM technology advances, BeeBot stands ready to evolve into a robust, versatile AI assistant capable of handling a wide array of practical tasks autonomously.

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