BeeAI Framework Py Starter is a lightweight Python template that accelerates AI agent development. It provides built-in orchestration, LLM adapters, plugin architecture, and configuration management to help developers quickly create, test, and deploy custom AI agents.
BeeAI Framework Py Starter is a lightweight Python template that accelerates AI agent development. It provides built-in orchestration, LLM adapters, plugin architecture, and configuration management to help developers quickly create, test, and deploy custom AI agents.
BeeAI Framework Py Starter is an open-source Python project designed to bootstrap AI agent creation. It includes core modules for agent orchestration, a plugin system to extend functionality, and adapters for connecting to popular LLM APIs. Developers can define tasks, manage conversational memory, and integrate external tools through simple configuration files. The framework emphasizes modularity and ease of use, enabling rapid prototyping of chatbots, automated assistants, and data-processing agents without boilerplate code.
Who will use BeeAI Framework Py Starter?
Python developers
AI researchers
Machine learning engineers
Software architects
How to use the BeeAI Framework Py Starter?
Step1: Clone the repository from GitHub.
Step2: Install dependencies via pip (pip install -r requirements.txt).
Step3: Configure your LLM API keys in the .env file.
Step4: Define agents, tasks, and plugins in the config directory.
Step5: Run the starter script (python run_agent.py) to launch your AI agent.
Step6: Extend functionality by adding custom plugins or adapters.
Platform
mac
windows
linux
BeeAI Framework Py Starter's Core Features & Benefits
The Core Features
Agent orchestration and workflow management
Plugin architecture for extensibility
Adapters for major LLM providers
Config-driven agent definition
Conversational memory management
The Benefits
Rapid project setup
Modular and extensible design
Supports multiple LLM integrations
Reduces boilerplate code
Open-source and community-driven
BeeAI Framework Py Starter's Main Use Cases & Applications