AutoAgent
Fully-Automated and Zero-Code LLM Agent Framework
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for AutoAgent, derived from its capabilities.
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology — every score is re-derived by the same automated method as an agent's public evidence changes.
Overview
AutoAgent is an open-source framework that allows users to rapidly create and deploy customized AI intelligences through natural language descriptions. It supports various large language models, offers a high-performance multi-intelligence collaboration system, and performs well in GAIA benchmarks. AutoAgent is designed as an automated operating system for LLM agents and general AI assistants, making it accessible to both technical and non-technical users
Key features and capabilities
- Natural language creation of intelligent agents
- Multi-intelligence collaboration system
- Support for multiple LLM models
- File upload and data interaction capabilities
- Command-line interactive interface
- High-performance task processing
- Workflow editor
- Self-managing file system
- Self-play agent customization
Use cases
- Analyzing and summarizing PDF documents
- Researching market trends and generating recommendations
- Processing and analyzing sales data
- Designing and executing complex workflows
- Creating specialized agents for specific tasks