Silicon Valley's New Favorite Clawdbot: What Happens When Local AI Agents Learn to "Go on Chain"?

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8 hours ago

In recent weeks, an open-source project called Clawdbot has suddenly gained popularity in the Silicon Valley circle. Although it has now been renamed Moltbot, the core concept remains unchanged: to have an AI agent reside on your local computer or server, capable of browsing the web, clicking buttons, sending messages, and even helping you automate trades.

This type of "24/7 online AI employee," once connected to Web3, raises a new question: is it a productivity tool or a machine that could potentially access your assets at any time?

Clawdbot: Executable Intelligent Agent

Unlike cloud-based models like ChatGPT that only support conversation, Clawdbot has several key features:

  • Self-hosted and open-source: The code can be downloaded and run directly on your own machine or VPS, with data remaining local by default.
  • Multi-channel access: It can connect to chat tools like Telegram, WhatsApp, Discord, and Slack, allowing you to issue commands through chat while it works behind the scenes to click web pages, call APIs, and run scripts.
  • Persistent memory: It doesn't just "forget after one question and answer," but can remember tasks, preferences, and context you've previously provided, acting like a long-term virtual colleague.
  • Direct "hands-on" capability: Through browser automation, command line, scripts, etc., it can actually execute tasks, such as clearing your email, booking flights, or running trading strategies.

This means Clawdbot can become a digital agent for long-term task management. What Web3 needs is precisely this kind of "executable intelligent agent."

Lowering the Barriers to Web3 Participation

Currently, several pain points in Web3 revolve around complexity and sustainability, such as cumbersome on-chain operations, significant information noise, and high interaction frequency.

A person's attention and operational time are objectively limited. While Web3 narrates "infinite possibilities," the practical execution for individuals is already very limited: you simply cannot monitor the market 24/7, nor can you be familiar with every protocol without checking documentation.

If local AI agents like Clawdbot are connected to wallets, block explorers, and DeFi interfaces, they are naturally suited to handle these critical scenarios:

  • 24/7 monitoring and alerts: Helping you keep an eye on liquidation lines, price ranges, impermanent loss in liquidity pools, and governance voting deadlines.
  • Automation of repetitive actions across multiple chains: For example, periodic reinvestment of earnings, cross-chain replenishment, and rebalancing positions.
  • Strategy implementation: You describe a strategy in natural language, and the agent helps translate it into specific contract calls and trading paths.

If the past decade was about humans learning to use wallets and contracts themselves, the next decade will likely be about humans learning to use agents to help them with wallets and contracts.

Local AI agents like Clawdbot will gradually become key players in resolving the contradictions of "information explosion + execution consumption" in Web3 scenarios.

How to Mitigate Risks?

Recently, Clawdbot has faced incidents of being impersonated to issue tokens and scams, prompting the founder to publicly declare, "This is a scam." At the same time, security companies have pointed out that many people do not configure their servers properly, exposing the agent to the public internet, leading to risks of API misuse, chat record exposure, and even execution permissions being abused.

In the context of Web3, several bottom lines need to be clarified—

① Wallet permissions should be extremely restricted; use read-only permissions whenever possible;

② If signature permissions are necessary, only grant them to "small dedicated wallets," and set strict limits and whitelists.

③ Do not trust "official tokens" or "official announcements related to Web3 memes." Clawdbot has already been impersonated to issue assets, following a classic pump-and-dump curve of soaring and then plummeting by 90%, fully exploiting emotions and information asymmetry.

Moreover, self-hosting does not equate to automatic security. If you set up your own server without proper firewalls and access controls, it is like throwing an "AI root permission" that can execute commands directly onto the public internet. This does not enhance privacy; it creates self-built landmines.

Finally, while the combination of automated agent assistants and Web3 is indeed full of imagination, as soon as it involves wallets and signatures, it is no longer a toy to experiment with but a machine that can access your assets at any time. The permissions you grant it are not just technical details; they are the boundary between life and death.

To be more realistic, an intelligent agent treated as a "notepad" or "secretary," once compromised, could leak not just a few mnemonic phrases but also your behavioral patterns, asset habits, and social relationships over the past few years, effectively digitizing and packaging your entire self for external exposure.

The truly safe approach is to always remember one thing: agents can be assistants, but they should never be custodians. If it can be read-only, make it read-only; if it can remind you, let it remind you. Any permissions that exceed your intuitive comfort zone are worth reconsidering multiple times.

*This content is for reference only and does not constitute investment advice. The market has risks; investment should be cautious.

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