Author: TechFlow
Whenever you think the market is dull, there are always new golden dogs to brighten your eyes.
At 9 am this morning, a new AI Agent token called $AGIXT appeared, and in less than 2 hours its market value quickly reached 80 million US dollars; what’s even more exaggerated is that during this period, the trading volume of the token reached 96 million, showing a long-lost market activity.
By the time everyone realized it, in contrast, within half an hour of the token launch, on-chain data showed that a large amount of smart money quickly purchased AGIXT, and there were many whales with a single transaction of more than 50 SOL.
What exactly is AGIXT and how is it different from other AI Agent tokens? We took a look at its Github and more introduction to give you a quick introduction to AGIXT.
2700 likes, an AI automation framework
Sometimes, people don’t really care about the technical details of an AI Agent token. What they care about is whether there are some clues that make the project “look good”.
With this idea in mind, the number of likes on Github has gradually become a marketing point for AI Agent tokens. The more likes there are, the more developers recognize it, and the more it highlights the project's technical influence and strength.
After browsing the AGIXT code repository, I found that the project has received more than 2,700 Stars, which is indeed better than projects that are purely based on making up stories and randomly creating a new github.
More importantly, this like was not added recently.
As can be seen from the Star History figure below, the project was launched as early as the beginning of last year. Since July 2023, the number of GitHub stars has shown a steady upward trend.
If it is just for show, then the layout has been too long, even before the entire AI Agent narrative started. Therefore, this is more like an outside project that has been working on it, trying to tokenize and then discover its value in this wave of enthusiasm.
But what exactly does this AGIXT do?
According to the official description of the code repository, AGIXT is essentially an AI automation platform, which is a tool that allows AI to automatically complete more complex tasks. Its biggest feature is that it can call multiple AI models (such as OpenAI, Claude, etc.) to work together at the same time, just like equipping you with a team of AI assistants.
This is more like a statement to developers, but what can you do with this platform?
For end users, you can send natural language requests to tools built with the platform's API and get actionable results. Speaking human language means having conversations with AI in normal language and getting answers in different task scenarios.
This sounds similar to what the popular frameworks do now, but this project has several attractive highlights:
- Multitasking capabilities: It can not only handle simple conversations, but also automatically plan task steps, search for information online, execute commands, and even interact through voice - it can be understood as a super enhanced version of ChatGPT.
- Good memory: The platform has a built-in intelligent memory system that allows AI to maintain the context of long-term conversations like humans, without becoming "forgetful".
- Highly extensible: Through the plug-in system, developers can easily add new features to AGIXT.
- Comprehensive compatibility: Supports current mainstream AI models, including OpenAI, Hugging Face, etc. Users can freely switch between different AI services according to their needs.
From a technical perspective, AGIXT is quite complete in design. It not only provides a Docker quick deployment solution, but also comes with an API interface for easy calls from other applications. This means that it can not only run independently, but can also be easily integrated into other systems.
In addition, the project is updated very frequently, and has been updated every month over the past year. It does not seem like a token with only an empty shell.
From a narrative perspective, this is more like a framework or platform project. It is not a standalone application in itself, and other projects can use its capabilities to create more AI agents.
However, the effectiveness of the Agent made with AGIXT still needs more use cases to test; we can only say that the existing information presented by the project Github is not bad.
Not a crypto developer, but focused on AGI open source contributions
Related information shows that the developer of the AGIXT project is @Josh_XT, who is a person who is keen on making continuous contributions in the field of AI open source and has submitted 8,000 code contributions on GitHub in the past year.
Some netizens said (news to be confirmed) that the dev's contribution ranks in the top 2% of all Github developers.
Three hours ago, Josh tweeted that he "hasn't really gotten into the cryptocurrency field yet", but believes that encryption does provide a lot of good support for the open source community.
At the same time, Josh also began to try to lock up AGIXT tokens.
Public data shows that he is using Streamflow Finance to lock up 5% of the total 450M AGIXT tokens (about 22.5M tokens) for a two-year linear release, starting from January 16, 2025, and automatically unlocked every two weeks until January 28, 2027.
For more information about the project team, please click here .
More noteworthy data
With its seemingly good technology and talented developers, AGIXT seems a bit "solid" among the many hobby projects.
But does this constitute a reason to have FOMO? Below is the various information compiled by the editor. You may want to take a look at more data before making a decision.
KOLs who entered the market early are dumping
When AGIXT's market value quickly rose to over 50M, more and more discussions were found on social media; but at the same time, some sharp-eyed netizens discovered through data monitoring websites that some KOLs who entered the market early were gradually selling to lock in profits.
Locking up is questionable
Some Twitter users also pointed out that although developers are locking tokens, since the cliff is set to 0, this means that developers can start obtaining unlocked tokens from day one, and there is no mandatory initial lock-up period to protect investors.
This is a red flag, with concerns that developers could exploit this setup for improper purposes, and a warning of a possible price crash.
Front-row positions are too concentrated
If you use the "chip analysis" function of GMGN, you can see that the address HNFC...Sf4G holds 42.83% of the tokens.
According to the total value of $2.2M shown in the figure, this address holds about 71.65M tokens. It can be seen that the token distribution is very concentrated. The largest holder holds nearly half of the total tokens, and the top few holding addresses control more than 50% of the tokens in total.
However, the concentration of chips does not necessarily mean a market crash. It may just mean that the price influence of the front row will increase. It will also depend on whether the front row has locked positions or split positions in the future.
In general, AGIXT is an AI framework with solid code and high-level developers, but in the three hours since the token was opened, the public information that can be seen is limited to this.
Whether it is a one-day gold dog or a rising star, perhaps we can see the answer after the fierce PVP game and more information is released.
