AGIXT：一个新的人工智能自动化框架，拥有 2,700 个 GitHub 点赞

每当你觉得市场沉闷的时候，总会有新的金狗吸引你的眼球。今天早上 9 点，一个名为 $AGIXT 的新 AI Agent 代币出现

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

市场沉寂了很长一段时间后，终于出现了新的“金狗”，引发关注。

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.

今天早上 9 点，一个名为 $AGIXT 的新 AI Agent 代币出现了。不到2小时，市值迅速突破8000万美元；更令人惊讶的是，在此期间，该代币的交易量达到了9600万，呈现出久违的市场活跃度。

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.

虽然大家还反应迟钝，但链上数据显示，在AGIXT上线的前半小时内，大量聪明资金迅速购买了AGIXT，其中包括多笔超过50 SOL的鲸鱼交易。

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.

AGIXT 到底是什么？它与其他 AI Agent 代币有何不同？我们的编辑仔细查看了它的 GitHub 和其他介绍，以帮助您快速了解 AGIXT。

2,700 Likes, an AI Automation Framework

2,700 个赞，人工智能自动化框架

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."

有时，AI Agent 代币的技术细节并不是人们关心的；他们真正关心的是是否有任何线索可以让这个项目“看起来不错”。

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.

在这种思维下，GitHub上的点赞数逐渐成为AI Agent代币的营销点——点赞越多，开发者的认可度越高，这也凸显了项目的技术影响力和实力。

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.

浏览 AGIXT 的代码库，我们可以看到该项目已经获得了超过 2700 个赞（Stars），这确实比仅仅依靠热风、随机创建 GitHub 帐户的项目要好。

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

更重要的是，这个点赞数并不是最近才被夸大的。

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.

从下图所示的Star History来看，该项目早在去年就启动了，自2023年7月以来，GitHub Star数呈现稳步上升趋势。

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.

如果只是为了展示，布局就太长了，甚至在整个人工智能特工叙事开始之前。因此，这看起来更像是一个圈外正在进行的项目，试图在这股热潮中进行代币化，然后被发现其价值。

However, what exactly does AGIXT do?

然而，AGIXT 到底做了什么？

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.

根据代码库中官方的描述，AGIXT本质上是一个AI自动化平台，简单来说，它是一个让AI自动完成更复杂任务的工具。它最大的特点是能够调用多个AI模型（如OpenAI、Claude等）协同工作，就像为你配备了一支AI助手团队。

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

这听起来更像是针对开发人员的消息，但您实际上可以用这个平台做什么呢？

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.

对于最终用户，您可以向使用平台 API 构建的工具发出自然语言请求并接收可操作的结果。简单来说，你可以用正常的语言与AI对话，并在不同的任务场景中获得答案。

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

这听起来与当前流行的框架所做的类似，但该项目有几个吸引人的亮点：

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.

多任务处理能力：它不仅可以处理简单的对话，还可以自动规划任务步骤、在线搜索信息、执行命令，甚至可以进行语音交互——可以理解为ChatGPT的超级增强版。

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."

良好的记忆力：该平台内置智能记忆系统，可以让AI像人类一样维持长期对话的语境，避免“健忘”。

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

高度可扩展：通过插件系统，开发人员可以轻松地向 AGIXT 添加新功能。

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

全面兼容性：支持目前主流的AI模型，包括OpenAI、Hugging Face等，允许用户根据需要切换不同的AI服务。

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.

从技术角度来看，AGIXT的设计相当完整，不仅提供了Docker快速部署解决方案，还提供了API接口，方便与其他应用程序集成。这意味着它可以独立运行，也可以轻松集成到其他系统中。

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

而且，该项目的更新频率相当一致，近一年来每月都有更新，这表明它不只是一个空代币。

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.

从叙述的角度来看，这看起来更像是一个框架或平台类型的项目；它不是一个独立的应用程序，其他项目可以利用其功能来创建更多的人工智能代理。

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.

然而，使用AGIXT创建的Agent的有效性仍然需要更多的用例来验证；只能说该项目 GitHub 上提供的信息非常有前途。

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

非加密圈开发者，专注AGI开源贡献

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.

关联信息显示，AGIXT项目的开发者为@Josh_XT，他热衷于持续为AI开源领域做出贡献，去年已在GitHub上贡献了8000个代码。

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

有网友表示（消息待核实）该开发者的贡献量在GitHub上所有开发者中排名前2%。

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

三小时前，乔什在推文中表示，他“还没有真正涉足加密货币领域”，但相信加密货币确实提供了一种