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
...
Promote this Tool
Update this Tool
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
You may also like:
Gobii lets teams create 24/7 autonomous digital workers to automate web research and routine tasks.
Salesloft is an AI-driven platform enhancing sales engagement and workflow automation.
Autogpt is a Rust library for building autonomous AI agents that interact with the OpenAI API to complete multi-step tasks
Angular is a web development framework for building modern, scalable applications.
An AI-driven RAG pipeline builder that ingests documents, generates embeddings, and provides real-time Q&A through customizable chat interfaces.
BrandCrowd offers customizable logos, business cards, and social media designs with thousands of templates.
Refly.AI empowers non-technical creators to automate workflows using natural language and a visual canvas.
Skywork AI is an innovative tool to enhance productivity using AI.
Five9 AI Agents enhance customer interactions with intelligent automation.
Mosaic AI Agent Framework enhances AI capabilities with data retrieval and advanced generation techniques.
Windsurf AI Agent helps optimize windsurfing conditions and gear recommendations.
Glean is an AI assistant platform for enterprise search and knowledge discovery.
NVIDIA Cosmos empowers AI developers with advanced tools for data processing and model training.
AI-driven customer service platform offering efficient communication solutions.
A framework that dynamically routes requests across multiple LLMs and uses GraphQL to handle composite prompts efficiently.
Flowith is a canvas-based agentic workspace which offers free 🍌Nano Banana Pro and other effective models...
Letta is an AI agent that handles email responses efficiently and accurately.
Cody AI helps developers write, review, and understand code efficiently.
A solution for building customizable AI agents with LangChain on AWS Bedrock, leveraging foundation models and custom tools.
scenario-go is a Go SDK for defining complex LLM-driven conversational workflows, managing prompts, context, and multi-step AI tasks.
A ROS-based framework for multi-robot collaboration enabling autonomous task allocation, planning, and coordinated mission execution in teams.
An open-source visual IDE enabling AI engineers to build, test, and deploy agentic workflows 10x faster.
LangGraph Learn offers an interactive GUI to design and execute graph-based AI agent workflows, visualizing language model chains.
AIDE provides AI-powered code generation, debugging, documentation and package management within an integrated web IDE.
A methodology offering twelve best practices to design, configure, and deploy scalable, maintainable AI Agents.
Clone, Design, and Create Expressive AI Voices in Seconds, with Perfect Sound Effects and Music.
A Python framework for constructing multi-step reasoning pipelines and agent-like workflows with large language models.
SARL is an agent-oriented programming language and runtime providing event-driven behaviors and environment simulation for multi-agent systems.
AI Library is a developer platform for building and deploying customizable AI agents using modular chains and tools.
RModel is an open-source AI agent framework orchestrating LLMs, tool integration, and memory for advanced conversational and task-driven applications.
Provides a FastAPI backend for visual graph-based orchestration and execution of language model workflows in LangGraph GUI.
CodeBeaver is an AI agent that assists in coding and debugging tasks efficiently.
AveHR is an AI-driven human resources agent for streamlining HR tasks.
OpenSpiel provides a library of environments and algorithms for research in reinforcement learning and game theoretic planning.
An autonomous AI agent that writes, tests, and refactors code projects using LLMs with iterative test-driven development.
LeanAgent is an open-source AI agent framework for building autonomous agents with LLM-driven planning, tool usage, and memory management.
All-in-one AI video creation studio that turns any text and images into full videos up to 30 minutes.
Project Mariner is an AI agent designed for efficient data extraction and analysis.
Microsoft Copilot enhances productivity by automating tasks across various applications.
Twilio AI Assistants enable automated customer interactions via voice and text messaging.
CACA Agent automates content generation and knowledge acquisition processes.
AI-driven platform for creating and deploying enterprise-grade AI systems and agents.