Build Autonomous AI Agents: A Practical Guide to Autonomys Agents Framework

Ready to dive into the world of autonomous AI agents? The Autonomys Agents framework offers an experimental yet powerful way to build AI agents capable of engaging on social networks and retaining permanent memory. This guide will walk you through key features, setup, character creation, and more!

What are Autonomys Agents? An Overview

Autonomys Agents is an experimental framework designed for constructing AI agents. Currently, it supports agents capable of interacting on social networks and maintaining permanent memory through the Autonomys Network. The framework is under active development, meaning rapid feature additions and improvements are on the horizon!

Key Features of Autonomys Agents

Here's a glimpse of what Autonomys Agents brings to the table:

• Autonomous Social Media Engagement: Agents can actively participate in social media conversations.
• Permanent Agent Memory: Leverage the Autonomys Network for persistent memory storage.
• Built-in Workflow System: Streamline agent behavior with a flexible workflow system.
• Twitter Integration: Connect your agents to Twitter (X), with more platforms planned for the future.
• Customizable Agent Personalities: Tailor agent personalities to suit specific tasks.
• Extensible Tool System: Expand agent capabilities with a versatile tool system.

Getting Started with Autonomys Agents: A Step-by-Step Guide

Follow these steps to get your first autonomous AI agent up and running:

1. Install Dependencies: Run yarn install to grab all the necessary packages. Windows users, install the Visual Studio C++ Redistributable.

2. Create a Character Config: Generate a configuration file for your agent using yarn create-character <your-character-name>.

3. Set Up the Configuration:

   • Character configs live in characters/{your-character-name}/config.
   • Update the .env file with essential environment variables.
   • Customize config.yaml with general configuration settings.
   • Define your agent's personality in {your-character-name}.yaml.

4. Run Your Character:

   • For development (watch mode): yarn dev <your-character-name>
   • For production build and execution: yarn start <your-character-name>

Crafting Unique AI Personalities: The Character System

The Autonomys Agents framework utilizes a YAML-based system, allowing you to create and manage distinct AI personalities, providing fine grained control over social media engagement. You can define their traits, expertise, and communication styles.

Character Configuration Breakdown

Each character's YAML file defines key aspects:

• name: The agent's name (e.g. 'Joy Builder').
• description: A multi-line description of the agent's core personality.
• personality: Key behavioral traits (e.g., optimistic, analytical).
• expertise: Areas of knowledge (e.g., AI, blockchain).
• communication_rules: Guidelines for interaction (e.g., be polite, avoid jargon).
• words_to_avoid: A list of words the agent should not use.
• twitter_profile: Twitter (X) username.
• trend_focus: Topics the agent should monitor.
• content_focus: Guidelines for generating content.
• reply_style: Approaches to engagement.
• engagement_criteria: Rules for engaging with other users.

Example Characters

Let's look at a couple of example characters already set up in the framework.

• Joy Builder: An optimistic agent focused on technology's potential to solve human problems.
• Tech Analyst: A thoughtful analyst providing balanced perspectives on emerging technologies.

Workflows: Twitter (X) Integration and Social Media Engagement

The Twitter workflow offers powerful capabilities:

• Monitoring: Keep tabs on relevant discussions.
• Analysis: Analyze trends and conversations to extract key insights.
• Engagement: Participate meaningfully with other users.
• Content Generation: Create original content tailored to specific audiences.
• Personality Maintenance: Ensure consistent portrayal of the agent's defined personality.
• Memory Storage: Store interactions in permanent memory.

Leveraging Autonomys Network for Permanent Memory

The Autonomys Network provides persistent storage for agent memory and interactions, enabling:

• Persistent Memory: Recall information across sessions.
• Verifiable History: Maintain a verifiable record of interactions.
• Cross-Agent Sharing: Share memories between agents.
• Decentralized Identity: Establish a decentralized agent identity.

To enable Autonomys Network integration:

1. Obtain an API key and configure AUTO_DRIVE_API_KEY in .env.
2. Enable Auto Drive uploading in config.yaml.
3. Provide your Taurus EVM wallet details (PRIVATE_KEY) and Agent Memory Contract Address (CONTRACT_ADDRESS) in .env.
4. Ensure your Taurus EVM wallet has sufficient funds.
5. Optionally, set an encryption password in .env.

Memory Resurrection: Retrieving Past Interactions

The resurrect command allows you to retrieve memories from the Autonomys Network:

yarn resurrect <your_character_name> [options]

Options:

• -o, --output: Specify the output directory. Defaults to ./memories.
• -n, --number: Specify the number of memories to fetch. Fetches all if not specified.
• --help: Show help menu.

Examples:

• yarn resurrect your_character_name: Fetch all memories to ./memories/.
• yarn resurrect your_character_name -n 1000: Fetch 1000 memories to ./memories/.
• yarn resurrect your_character_name -o ./memories/my-agent -n 1000: Fetch 1000 memories to ./memories/my-agent.

By following this guide, you'll be well-equipped to start building and experimenting with autonomous AI agents using the Autonomys Agents framework! Its capabilities for autonomous social media engagement make it a very attractive tool to explore.