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๐Ÿš€ Introducing ๐Ÿช CAMEL: a game-changing role-playing approach for LLMs and auto-agents like BabyAGI & AutoGPT! Watch two agents ๐Ÿค collaborate and solve tasks together, unlocking endless possibilities in #ConversationalAI, ๐ŸŽฎ gaming, ๐Ÿ“š education, and more! ๐Ÿ”ฅ

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Camel-AutoGPT

GitHub stars License Demo

Dual AI Agents Working Together - Configure and deploy two autonomous AI agents that collaborate to achieve any goal. Watch as they communicate, delegate tasks, and solve problems together.

Imagine the power of AutoGPT/BabyAGI... now picture two of these agents working as a team.

Demo

Try it live: camelagi.thesamur.ai

Features

  • Dual Agent System - Two AI agents collaborate on tasks
  • Custom Personas - Name and configure your own AI characters
  • Goal-Oriented - Set any goal and watch agents work together
  • Real-Time Conversation - View agent-to-agent communication
  • Web Interface - Easy-to-use browser-based interface

How It Works

  1. Configure Agents - Define two AI personas with names and roles
  2. Set a Goal - Describe what you want them to accomplish
  3. Watch Collaboration - Agents discuss, plan, and execute together
  4. Get Results - Receive the output of their combined efforts

Roadmap

  • Share agent conversations
  • Save and replay agent runs
  • Pre-configured instructor/assistant examples
  • Web browsing capabilities
  • Document API for writing tasks
  • More coming soon...

Quick Start

Prerequisites

  • Python 3.8+
  • Node.js v18+
  • OpenAI API Key

Installation

# Clone the repository
git clone https://github.com/SamurAIGPT/GPT-Agent.git
cd GPT-Agent

# Follow setup instructions
cat steps_to_run.md

See detailed setup: steps_to_run.md

Architecture

The system uses the CAMEL (Communicative Agents for Mind Exploration) framework:

User Goal
    โ”‚
    โ–ผ
โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”     โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ Agent 1 โ”‚โ—„โ”€โ”€โ”€โ–บโ”‚ Agent 2 โ”‚
โ”‚(Assist) โ”‚     โ”‚(Instruct)โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜     โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
    โ”‚               โ”‚
    โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
            โ–ผ
       Task Output

Example Use Cases

  • Research Tasks - One agent researches, another synthesizes
  • Code Review - Developer agent writes, reviewer agent critiques
  • Content Creation - Writer agent drafts, editor agent refines
  • Problem Solving - Analyst agent investigates, strategist agent plans

References

Built on the CAMEL framework: lightaime/camel

Support

Join our Discord: discord.gg/A6EzvsKX4u

Follow for Updates

Related Projects

License

MIT License - see LICENSE for details.

About

๐Ÿš€ Introducing ๐Ÿช CAMEL: a game-changing role-playing approach for LLMs and auto-agents like BabyAGI & AutoGPT! Watch two agents ๐Ÿค collaborate and solve tasks together, unlocking endless possibilities in #ConversationalAI, ๐ŸŽฎ gaming, ๐Ÿ“š education, and more! ๐Ÿ”ฅ

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