In recent weeks, an open-source project called Clawdbot has suddenly become popular in Silicon Valley circles. Although it has now been renamed Moltbot, its core concept remains unchanged: to have an AI agent reside on your local computer or server, capable of browsing web pages, clicking buttons, sending messages, and even helping you automate trades.
Once such "24/7 online AI employees" integrate with Web3, the imagination space turns into a new question: Is it a productivity tool, or a machine that could potentially access your assets at any time?
Clawdbot: Executable Agents
Unlike cloud-based ChatGPT, which only supports conversations, Clawdbot has several key features:
- Self-hosted and open-source: Pull the code and run it directly on your own machine or VPS, with data by default not leaving the local environment.
- Multi-channel access: Can integrate with chat tools like Telegram, WhatsApp, Discord, Slack, etc. You give instructions via chat, and it helps you actually click web pages, call APIs, and run scripts in the background.
- Persistent memory: Not "ask and answer then forget," but capable of remembering tasks, preferences, and context you've previously assigned, like a long-term virtual colleague.
- Direct "hands-on" capability: Through browser automation, command lines, scripts, etc., it can actually execute tasks, such as clearing emails, booking flights, or running trading strategies.
This means Clawdbot can become a digital agent for long-term hosted tasks. And what Web3 needs is precisely this kind of "executable agent."
Lowering the Barrier to Web3 Participation
Current pain points in Web3 essentially revolve around complexity and continuity, typical examples being cumbersome on-chain operations, massive information noise, and high interaction frequency.
An individual's attention and operation time are objectively limited. While Web3 narrates "infinite possibilities," at the execution level, it is already very limited for individuals: you simply cannot monitor the market 24/7, nor be familiar enough with every protocol to avoid checking documentation.
If local AI agents like Clawdbot are connected to wallets, block explorers, and DeFi interfaces, they are naturally suited to handle these key scenarios:
- 24/7 monitoring and alerts: Help you watch liquidation lines, price ranges, LP impermanent loss, and governance voting deadlines.
- Automation of multi-chain repetitive actions: Such as periodic reinvestment of yields, cross-chain replenishment, and rebalancing positions.
- Strategy implementation: You describe strategies in natural language, and the agent translates them 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 use wallets and contracts.
Local AI agents like Clawdbot will gradually become key players in resolving the contradiction between "information explosion + execution consumption" in Web3 scenarios.
How to Mitigate Risks?
Clawdbot has recently experienced incidents of counterfeit token issuance and scams using its name, forcing the founder to publicly state "this is a scam." Meanwhile, security companies have pointed out that many people do not know how to configure servers properly, exposing the agent to the public internet, leading to risks of API abuse, chat logs, and even execution permissions.
In the context of Web3, several bottom lines must be clarified—
1. Exercise extreme restraint with wallet permissions; use read-only whenever possible.
2. If signing permissions must be granted, only grant them to "small-amount dedicated wallets" with strict limits and whitelists.
3. Do not believe in "official tokens" or "official announcements combining Web3 with Memes." Clawdbot has already been used to issue fake assets, following the classic pump-and-dump curve—first surging then plummeting 90%—completely exploiting emotions and information asymmetry.
Additionally, self-hosting does not automatically mean security. If you set up your own server without proper firewall and access controls, it is equivalent to throwing an "AI root权限" that can execute commands directly onto the public internet. This is not enhancing privacy; it is building a landmine.
Finally, while automatically executing agent assistants and their integration with Web3 are indeed full of imagination, as soon as wallets and signatures are involved, it is no longer a toy to experiment with casually but a machine that can access your assets at any time. The permissions you grant it are not technical details but life-and-death boundaries.
More realistically, if an agent used as a "notebook" or "secretary" is compromised, what is leaked is not just a few mnemonic phrases but your behavioral轨迹, asset habits, and social relationships from the past few years—equivalent to digitally packaging and handing over your entire self.
The truly safe approach is to always remember one thing: agents can be assistants, but never custodians. Use read-only whenever possible, prioritize alerts, and any permission beyond your intuitive comfort zone is worth hesitating over再三.
*This content is for reference only and does not constitute investment advice. The market carries risks, and investment requires caution.
