Aurora is an open-source agent orchestration framework that empowers developers to build autonomous generative AI agents. It offers planner and executor modules to decompose goals into subtasks, integrate external tools, manage memory, and handle dynamic inputs. By leveraging LLM-driven planning and execution loops, Aurora simplifies creating agents that can reason, plan, and interact with APIs or data sources in real time.
AI Platforms & Frameworks
Development Environment
Workflow Automation
#AI Agents
#Task Automation
#dynamic planning
#memory management
#API integration
#Content Generation
#customized workflows
#executive modules
#iterative execution
#modular architecture
#Open-source AI
#context retention
#plug and play
#research support
#Customer Engagement
#Data-driven solutions
#development acceleration
#flexible design
#business process optimization
#intelligent assistants
...
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Aurora
Aurora is an open-source agent orchestration framework that empowers developers to build autonomous generative AI agents. It offers planner and executor modules to decompose goals into subtasks, integrate external tools, manage memory, and handle dynamic inputs. By leveraging LLM-driven planning and execution loops, Aurora simplifies creating agents that can reason, plan, and interact with APIs or data sources in real time.
AI Platforms & Frameworks
Development Environment
Workflow Automation
#AI Agents
#Task Automation
#dynamic planning
#memory management
#API integration
#Content Generation
#customized workflows
#executive modules
#iterative execution
#modular architecture
#Open-source AI
#context retention
#plug and play
#research support
#Customer Engagement
#Data-driven solutions
#development acceleration
#flexible design
#business process optimization
#intelligent assistants
...
Featured
What is Aurora?
Aurora provides a modular architecture for constructing generative AI agents that can autonomously tackle complex tasks through iterative planning and execution. It consists of a Planner component that breaks down high-level objectives into actionable steps, an Executor that invokes these steps using large language models, and a Tool integration layer for connecting APIs, databases, or custom functions. Aurora also includes memory management for context retention and dynamic re-planning capabilities to adjust to new information. With customizable prompts and plug-and-play modules, developers can rapidly prototype AI agents for tasks like content generation, research, customer support, or process automation, while maintaining full control over the agent’s workflows and decision logic.
Who will use Aurora?
- AI Developers
- Machine Learning Engineers
- Technical Product Managers
- Research Scientists
- Open-source Enthusiasts
How to use the Aurora?
- Step1: Install Aurora via pip with pip install git+https://github.com/kyegomez/Aurora.git
- Step2: Set environment variables for your LLM API key (e.g., OPENAI_API_KEY)
- Step3: Define custom tool interfaces and register them in the tool integration layer
- Step4: Initialize the Planner and Executor modules with your configurations
- Step5: Configure the agent pipeline by combining Planner, Executor, and Memory modules
- Step6: Run the agent with a goal prompt and monitor iterative planning and execution outputs
Platform
- mac
- windows
- linux
Aurora's Core Features & Benefits
The Core Features
- LLM-driven planning
- Executor module for task execution
- Tool integration layer for APIs and functions
- Memory management for context retention
- Dynamic re-planning capabilities
- Customizable prompt templates
The Benefits
- Accelerated agent development
- Modular and extensible architecture
- Seamless API integration
- Improved automation accuracy
- Open-source community support
Aurora's Main Use Cases & Applications
- Automated research assistants
- Dynamic content generation workflows
- Customer support chatbots with external API access
- Data analysis and reporting agents
FAQs of Aurora
Aurora Company Information
Aurora Reviews
5/5
Aurora's Main Competitors and alternatives?
- LangChain Agents
- AutoGPT
- BabyAGI
- Microsoft Semantic Kernel
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