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        • Agents storage functions
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        • Getting started
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        • Installation️
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          • CLI - Introduction
          • CLI - Managing keys
          • CLI - Managing tokens
          • CLI - Multisig keys
          • CLI - Delegation
          • Governance proposals
      • Agents 101
      • Agents 101 for AI Engine
  • Guides
      • Quickstart
        • What's an Agent?
        • uAgents Framework installation
        • Create your first agent
        • Agents address
        • Communicating with other agents
        • Agent Handlers (on_...)
        • Agents storage functions
          • Introduction
          • Walk-through
          • Run the script
        • Public and private Agents
        • Send tokens with Agents
        • Agents Mailboxes
        • Agent Functions
        • Make agents AI Engine compatible
        • Multi-file agent pipeline for AI Engine: Hugging face API to create a multi agent pipeline
        • Options for running local agents
        • Hosted agent
        • Introducing dialogues
        • Almanac Contract
        • Verify messages with Agents
        • Multi-file agent pipeline for AI Engine: Network of Primary and Secondary functions in Agentverse
        • Localwallet
        • Agentverse: Hosted Agents
        • Agentverse: Dice Roll agent
        • Agentverse: Allowed Imports
        • Agentverse: Mailbox
        • Register Agentverse Functions
        • Agentverse Functions: coin toss agent
        • Field descriptions for DeltaV
        • Agentverse Command Line Interface (AVCTL)
        • AVCTL Hosting commands
      • Agents and Functions creation APIs
      • Secret Management APIs
      • How to convert native FET to and from ERC-20 FET
      • How to stake FET tokens
      • Different ways of staking FET
      • Re-delegating staked FET token
      • Reconciliation service
      • How to setup a Multisig Wallet
        • Getting started
        • How to use the Fetch wallet
        • How to stake and claim rewards
        • Address book
        • Connections
        • Fetch Wallet Hardware Connection Guide
        • Installation
        • Connecting to a blockchain
        • Querying balances
        • Wallets and private keys
        • Sending funds
        • Staking
        • Smart contracts
          • Stake auto-compounder
          • Stake optimizer
          • Oracles
          • Wallet top-up
          • Liquidity pool
          • Swap automation
        • Installation️
        • Getting started
        • Keys
          • How to add profiles
          • How to add contract templates
          • How to compile contracts
          • How to deploy contracts
          • Contract interaction
        • Installation
        • How to use chain state snapshots
        • State-synchronization (state-sync)
        • How to set up a validator node
        • How to join a testnet
        • How to run a single node test network
        • Governance
        • How to get testnet tokens via the Token Faucet
          • CLI - Introduction
          • CLI - Managing keys
          • CLI - Managing tokens
          • CLI - Multisig keys
          • CLI - Delegation
          • Governance proposals
      • Agents 101
      • Agents 101 for AI Engine
Guides
AI Agents
Intermediate topics
Agents storage functions

Using agents storage function

Introduction

In this guide, we want to illustrate how storage functions are called and how to use them. We want to create an agent which gets a value from the storage (starting from 0) every second. Then prints it, and puts the new value back into the storage but increased by 1 unit.

Walk-through

  1. To start let's create a Python script and name it storage.py, we can do this in terminal with touch storage.py.

  2. Then, we need to open the script in the text editor of choice and import the necessary classes, Agent and Context, from the uagents library.

  3. Let's then create an agent named alice which logs a message every second using the .on_interval() decorator, indicating the current count. The on_interval() function takes a Context object as a parameter: the Context object contains a storage attribute, which is used to store and retrieve data between method calls:

    storage.py
    from uagents import Agent, Context
     
    alice = Agent(name="alice", seed="alice recovery phrase")
     
    @alice.on_interval(period=1.0)
    async def on_interval(ctx: Context):
        current_count = ctx.storage.get("count") or 0
     
        ctx.logger.info(f"My count is: {current_count}")
     
        ctx.storage.set("count", current_count + 1)
     
    if __name__ == "__main__":
        alice.run()

    Here, the on_interval() function retrieves the current count from the storage attribute using the ctx.storage.get() method. It prints the current_count value, and then increments it by 1, and stores the updated count back to the storage attribute using the ctx.storage.set() method. The current count is then logged using the ctx.logger.info() method.

  4. Save the script.

Run the script

On your terminal, make sure you activated the virtual environment.

Run the script: python storage.py

The output should look as follows:

[alice]: My count is: 1
[alice]: My count is: 2
[alice]: My count is: 3
...

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