Agent Script is an open-source Python framework that lets developers define AI agent behaviors via simple script files. It integrates large language models with external tools, memory stores, and custom actions to automate complex, multi-step tasks. Ideal for rapid prototyping, it offers built-in logging, debugging, and modular plugins for extensibility.
AI Platforms & Frameworks
Workflow Automation
#AI Automation
#Chatbot Development
#YAML scripting
#JSON workflows
#API integration
#data extraction automation
#memory management
#RPA scripting
#OpenAI-Integration
#asynchronous execution
#logging and debugging
#agent prototyping
#modular architecture
#long term memory
#Task Automation
#context management
#lightweight framework
#Open-source tools
#scalable solutions
#custom workflows
...
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Agent Script
Agent Script is an open-source Python framework that lets developers define AI agent behaviors via simple script files. It integrates large language models with external tools, memory stores, and custom actions to automate complex, multi-step tasks. Ideal for rapid prototyping, it offers built-in logging, debugging, and modular plugins for extensibility.
AI Platforms & Frameworks
Workflow Automation
#AI Automation
#Chatbot Development
#YAML scripting
#JSON workflows
#API integration
#data extraction automation
#memory management
#RPA scripting
#OpenAI-Integration
#asynchronous execution
#logging and debugging
#agent prototyping
#modular architecture
#long term memory
#Task Automation
#context management
#lightweight framework
#Open-source tools
#scalable solutions
#custom workflows
...
Featured
What is Agent Script?
Agent Script provides a declarative scripting layer over large language models, enabling you to write YAML or JSON scripts that define agent workflows, tool calls, and memory usage. You can plug in OpenAI, local LLMs, or other providers, connect external APIs as tools, and configure long-term memory backends. The framework handles context management, asynchronous execution, and detailed logging out of the box. With minimal code, you can prototype chatbots, RPA workflows, data extraction agents, or custom control loops, making it easy to build, test, and deploy AI-powered automations.
Who will use Agent Script?
- AI developers and engineers
- Automation architects
- Data scientists exploring agent workflows
- SaaS product teams building AI features
- Researchers prototyping LLM agents
How to use the Agent Script?
- Step1: Install via pip: pip install agent-script
- Step2: Obtain an API key for your LLM provider
- Step3: Write an agent script in YAML or JSON defining tasks, tools, and memory
- Step4: Configure environment and tool plugins in a Python runner
- Step5: Execute the agent runner to start the script
- Step6: Monitor logs, inspect memory stores, and iterate scripts
Platform
- mac
- windows
- linux
Agent Script's Core Features & Benefits
The Core Features
- Script-based agent definition in YAML/JSON
- LLM provider integration (OpenAI, local models)
- External tool and API connectors
- Long-term and short-term memory modules
- Built-in logging and debugging
The Benefits
- Rapid agent prototyping with no boilerplate code
- Modular and extensible plugin architecture
- Lightweight and open-source under permissive license
- Scalable context and memory management
- Enables complex multi-step task automation
Agent Script's Main Use Cases & Applications
- Automated customer support chatbots
- Data extraction and processing pipelines
- Workflow automation for enterprise processes
- Personalized recommendation agents
- Custom research assistants
FAQs of Agent Script
Agent Script Company Information
- RunParse
Agent Script Reviews
5/5
Agent Script's Main Competitors and alternatives?
- LangChain Agents
- AutoGPT
- AgentGPT
- Haystack Agents
- LlamaIndex
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