Simple-Agent

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Simple-Agent provides developers with a lightweight framework to create conversational AI agents using OpenAI APIs. It supports function calling, tool integration, memory management, and customizable workflows. By defining actions and skills, users can extend the agent to handle tasks like data retrieval, scheduling, and dynamic responses. Its minimal setup allows rapid prototyping and deployment of AI-driven assistants.
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May 09 2025
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Simple-Agent

Simple-Agent

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0
Simple-Agent
Simple-Agent provides developers with a lightweight framework to create conversational AI agents using OpenAI APIs. It supports function calling, tool integration, memory management, and customizable workflows. By defining actions and skills, users can extend the agent to handle tasks like data retrieval, scheduling, and dynamic responses. Its minimal setup allows rapid prototyping and deployment of AI-driven assistants.
Added on:
Social & Email:
Platform:
May 09 2025
--
Featured

What is Simple-Agent?

Simple-Agent is an open-source AI agent framework written in Python that leverages the OpenAI API to create modular conversational agents. It allows developers to define tool functions that the agent can invoke, maintain context memory across interactions, and customize agent behaviors via skill modules. The framework handles request routing, action planning, and tool execution so you can focus on domain-specific logic. With built-in logging and error handling, Simple-Agent accelerates the development of AI-powered chatbots, automated assistants, and decision-support tools. It offers easy integration with custom APIs and data sources, supports asynchronous tool calls, and provides a simple configuration interface. Use it to prototype AI agents for customer support, data analysis, automation, and more. The modular architecture makes it straightforward to add new capabilities without altering core logic. Backed by community contributions and documentation, Simple-Agent is ideal for both beginners and experienced developers aiming to deploy intelligent agents quickly.

Who will use Simple-Agent?

  • AI developers
  • Chatbot and virtual assistant builders
  • Python developers
  • Startups prototyping AI features
  • Data scientists
  • Automation engineers

How to use the Simple-Agent?

  • Step1: Clone the GitHub repository from https://github.com/QuasarBrains/Simple-Agent
  • Step2: Install dependencies via pip install -r requirements.txt
  • Step3: Configure environment variables, including OPENAI_API_KEY
  • Step4: Define custom tool functions in the tools directory
  • Step5: Customize agent configuration to include your tools and memory settings
  • Step6: Run the agent script (e.g., python agent.py)
  • Step7: Interact with the agent via CLI or integrate it into your application

Platform

  • mac
  • windows
  • linux

Simple-Agent's Core Features & Benefits

The Core Features

  • LLM integration via OpenAI API
  • Function/tool calling
  • Context memory management
  • Modular skill definitions
  • Asynchronous execution
  • Logging and error handling
  • Easy configuration

The Benefits

  • Rapid prototyping of AI agents
  • Flexible and extensible architecture
  • Minimal setup overhead
  • Scalable tool integration
  • Community-driven improvements
  • Cross-platform compatibility

Simple-Agent's Main Use Cases & Applications

  • Customer support chatbots
  • Automated data analysis assistants
  • Scheduling and reminder bots
  • Decision support systems
  • Interactive virtual agents
  • Workflow automation

FAQs of Simple-Agent

Simple-Agent Company Information

Simple-Agent Reviews

5/5
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Simple-Agent's Main Competitors and alternatives?

  • LangChain Agents
  • Auto-GPT
  • Microsoft Semantic Kernel
  • LlamaIndex Agents
  • Haystack Agents

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