AGIXT: A New AI Automation Framework with 2,700 GitHub Likes

Whenever you feel the market is dull, there will always be a new golden dog that catches your eye. At 9 AM this morning, a new AI Agent token named $AGIXT appeared

After a long period of dullness in the market, a new "golden dog" has finally emerged, attracting attention.

At 9 AM this morning, a new AI Agent token named $AGIXT appeared. Within less than 2 hours, its market capitalization rapidly reached 80 million USD; even more astonishingly, during this period, the trading volume of the token reached 96 million, showcasing a long-lost market activity.

While everyone was still slow to react, on-chain data showed that a large amount of smart money quickly purchased AGIXT within the first half hour of the token's launch, including several whale transactions exceeding 50 SOL.

What exactly is AGIXT, and how does it differ from other AI Agent tokens? Our editors took a closer look at its GitHub and other introductions to help you quickly understand AGIXT.

2,700 Likes, an AI Automation Framework

Sometimes, the technical details of an AI Agent token are not what people care about; what they really care about is whether there are any clues that make this project "look good."

Under this mindset, the number of likes on GitHub has gradually become a marketing point for AI Agent tokens — the more likes, the more recognition from developers, which also highlights the project's technical influence and strength.

Browsing through AGIXT's code repository, we can see that the project has received over 2,700 likes (Stars), which is indeed better than a project that relies solely on hot air and randomly creates a GitHub account.

More importantly, this like count is not something that has been recently inflated.

From the Star History shown in the image below, the project was initiated as early as last year, and since July 2023, the number of GitHub stars has shown a steady upward trend.

If it were just for show, the layout would be too long, even preceding the entire AI Agent narrative's initiation. Therefore, this seems more like an ongoing project from outside the circle, attempting to tokenize during this wave of enthusiasm and then being discovered for its value.

However, what exactly does AGIXT do?

According to the official description in the code repository, AGIXT is essentially an AI automation platform, simply put, it is a tool that allows AI to automatically complete more complex tasks. Its biggest feature is the ability to call multiple AI models (such as OpenAI , Claude, etc.) to work together, like equipping you with a team of AI assistants.

This sounds more like a message directed at developers, but what can you actually do with this platform?

For end users, you can make natural language requests to tools built using the platform's API and receive actionable results. In simpler terms, you can have conversations with AI in normal language and obtain answers in different task scenarios.

This sounds similar to what the currently popular frameworks are doing, but this project has several attractive highlights:

Multi-tasking Capability: It can handle not only simple conversations but also automatically plan task steps, search for information online, execute commands, and even interact via voice — it can be understood as a super enhanced version of ChatGPT.

Decent Memory: The platform has a built-in intelligent memory system that allows AI to maintain the context of long-term conversations like humans, avoiding "forgetfulness."

Highly Scalable: Through a plugin system, developers can easily add new features to AGIXT.

Comprehensive Compatibility: It supports currently mainstream AI models, including OpenAI, Hugging Face, etc., allowing users to switch between different AI services as needed.

From a technical perspective, AGIXT's design is quite complete, providing not only a Docker quick deployment solution but also an API interface for easy integration with other applications. This means it can run independently and can also be easily integrated into other systems.

Moreover, the project's update frequency is quite consistent, with monthly updates over the past year, indicating it is not just an empty token.

From a narrative perspective, this seems more like a framework or platform-type project; it is not a standalone application, and other projects can leverage its capabilities to create more AI Agents.

However, the effectiveness of the Agents created using AGIXT still needs more use cases to verify; one can only say that the information presented on the project's GitHub is quite promising.

Not Developers from the Crypto Circle, but Focused on AGI Open Source Contributions

Associated information shows that the developer of the AGIXT project is @Josh_XT, who is passionate about continuously contributing to the AI open-source field, having made 8,000 code contributions on GitHub last year.

Some netizens indicated (message to be verified) that this developer's contribution volume ranks among the top 2% of all developers on GitHub.

Three hours ago, Josh stated in a tweet that he "has not really ventured into the cryptocurrency field," but believes that crypto indeed provides a