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AutoAgent

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Effortlessly create and deploy agents using natural language.

Agent Framework

Overview

AutoAgent is a Fully-Automated and highly Self-Developing framework. It aims to enable users to create and deploy LLM agents through Natural Language Alone.

Key Features:

  • Top Performers on the GAIA Benchmark
  • Agentic-RAG with Native Self-Managing Vector Database
  • Agent and Workflow Create with Ease
  • Universal LLM Support
  • Flexible Interaction
  • Dynamic, Extensible, Lightweight

Use Cases:

  • Creating LLM agents using natural language
  • Deploying multi-agent systems for AI assistance
  • Building tools and workflows without coding
  • Integrating with various LLMs for diverse applications
  • Utilizing CLI for seamless interaction

Benefits:

  • High performance comparable to Deep Research Agents
  • Outperforms industry-leading solutions like LangChain
  • Cost-effective open-source alternative
  • User-friendly interface for easy deployment
  • Customizable and lightweight AI assistant

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