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過去一周,一個顯著趨勢是市場對「框架」項目的極度FOMO:一是ai16z屢創新高,市值達到20億美元左右;隨後,企業級框架群迅速飆升,成為另一個市值超3億美元的AI Agent框架代幣;對於發現早期專案估值過高而錯過機會的基金來說,FOMO 可能會蔓延到類似專案。那麼,這個新的框架專案Prime會走類似的道路嗎?它與其他框架有何不同?
The first week of 2025 in the crypto market has been dominated by the AI Agent hype.
2025 年加密貨幣市場的第一周主要是人工智慧代理商的炒作。
In the past week, a notable trend has been the market's extreme FOMO towards "framework" projects. First, ai16z has repeatedly hit new highs, with a market cap reaching around $2 billion; subsequently, the enterprise-level framework swarms surged rapidly, becoming another AI Agent framework token with a market cap exceeding $300 million, following ai16z (Eliza), ZEREBRO (ZerePy), and arc (RIG).
過去一周,一個顯著的趨勢是市場對「框架」項目的極端FOMO情緒。首先,ai16z屢創新高,市值達到20億美元左右;隨後,企業級框架群迅速飆升,成為繼ai16z(Eliza)、ZEREBRO(ZerePy)、arc(RIG)之後又一個市值超3億美元的AI Agent框架代幣。
Today, another AI Agent framework named Prime has emerged, with its market cap also rising quickly, reaching around $20M within less than 2 hours of its token launch, but has since significantly retraced, currently hovering around $11M.
如今,另一個名為 Prime 的 AI Agent 框架出現,其市值也迅速上漲,在代幣發行後不到 2 小時內達到 2,000 萬美元左右,但此後大幅回落,目前徘徊在 1,100 萬美元左右。
Due to the intense PVP situation that can easily form at token launches, significant price fluctuations are to be expected.
由於代幣發行時很容易形成激烈的 PVP 局面,預計價格會大幅波動。
However, after the initial competition, referencing the previous framework projects, the market cap generally exceeds $300 million; for funds that found the valuations of the earlier projects too high and missed the opportunity, FOMO may spill over into similar projects.
但經過初步競爭,參考先前的框架項目,市值普遍超過3億美元;對於發現早期專案估值過高而錯過機會的基金來說,FOMO 可能會蔓延到類似專案。
So, will this new framework project Prime follow a similar path? How does it differ from the other frameworks?
那麼,這個新的框架專案Prime會走類似的道路嗎?它與其他框架有何不同?
Modular AI Agent Open Source Framework
模組化 AI 代理開源框架
First, we need to clarify what an AI Agent framework is.
首先,我們需要澄清什麼是AI Agent框架。
In simple terms, it is a toolkit provided for developers to help them more easily create, deploy, and manage AI agents, allowing these AIs to autonomously complete specific tasks, such as trading, social interaction, or content creation.
簡單來說,它是為開發者提供的工具包,幫助他們更輕鬆地創建、部署和管理 AI 代理,讓這些 AI 自主完成特定任務,例如交易、社交互動或內容創建。
So, what does "easier to create and deploy" specifically mean on Prime?
那麼,「更容易創建和部署」在 Prime 上具體意味著什麼?
From the official project description, the most intuitive aspect is that it eliminates a lot of repetitive low-level coding work; Prime describes itself more as a "modular" AI Agent framework.
從官方的專案描述來看,最直觀的一點就是它消除了許多重複的底層編碼工作; Prime 將自己描述為「模組化」AI 代理框架。
For example, it includes a large number of pre-built libraries, containing a rich collection of tools, APIs, and templates; this means that developers can select only the necessary components when creating an agent, reducing development time and keeping the system streamlined.
例如,它包含大量預先建置的庫,包含豐富的工具、API 和範本集合;這意味著開發人員在創建代理時可以僅選擇必要的元件,從而減少開發時間並保持系統精簡。
At the same time, modularity allows for unique configurations, enabling developers to build agents tailored to specific industries. For instance, a healthcare agent might prioritize patient data analysis, while a retail agent focuses on customer personalization.
同時,模組化允許獨特的配置,使開發人員能夠建立針對特定行業的代理。例如,醫療保健代理可能會優先考慮患者數據分析,而零售代理則專注於客戶個人化。
This modularity also implies cost reduction. By using only the necessary modules, developers can save resources, and PRIME aims to be a more economical choice for startups and enterprises.
這種模組化也意味著成本的降低。透過僅使用必要的模組,開發人員可以節省資源,PRIME 旨在成為新創公司和企業更經濟的選擇。
According to Prime's official Twitter description, using their framework can accelerate development speed by 30%, and it also features a dashboard function that automatically monitors the current performance of the created AI Agents and predicts their future performance.
根據Prime官方Twitter的描述,使用他們的框架可以加快30%的開發速度,而且它還具有儀表板功能,可以自動監控所創建的AI Agent的當前性能並預測其未來性能。
More importantly, this framework is open source and can be directly installed locally using Python from the code repository on GitHub.
更重要的是,這個框架是開源的,可以直接使用Python從GitHub上的程式碼儲存庫本地安裝。
In terms of popularity, Prime is clearly not as well-known as ai16z's Eliza, but the stars on GitHub are steadily increasing (currently 66), presenting a more niche appeal.
從知名度來看,Prime 顯然不如 ai16z 的 Eliza,但 GitHub 上的 star 數卻在穩定增加(目前有 66 顆),呈現出更小眾的吸引力。
Whether the framework's actual performance is as good as claimed on their official Twitter remains to be seen, pending deployment tests by technically savvy individuals. As the price of the PRIME token fluctuates, more developers are likely to join in testing the framework's effectiveness, and we can expect more social media reviews and opinions from key figures in the future.
該框架的實際性能是否如其官方推特上聲稱的那麼好還有待觀察,有待技術嫻熟的個人進行部署測試。隨著PRIME代幣價格的波動,更多的開發者可能會加入測試該框架的有效性,我們可以期待未來更多社群媒體評論和關鍵人物的意見。
However, based on the information available, we can compare Prime with several popular frameworks to help everyone quickly understand the overall picture:
不過,根據現有的信息,我們可以將 Prime 與幾個流行的框架進行比較,以幫助大家快速了解整體情況:
Rising Plagiarism FUD, Ecosystem Applications in Initial Stages
剽竊 FUD 上升,生態系應用處於初始階段
The PRIME token surged to $20M this morning but quickly retraced by half in the afternoon, currently around $11M.
今天早上 PRIME 代幣飆升至 2000 萬美元,但下午迅速回落一半,目前約為 1,100 萬美元。
One significant reason for this is that the project has fallen into the FUD surrounding plagiarism.
造成這種情況的一個重要原因是該專案陷入了圍繞抄襲的 FUD 境地。
Some community members have pointed out that Prime is not an original framework but has copied code from a well-known open-source machine learning platform called huggingface, specifically from a project called smolagents; smolagent is designed to serve AI Agents, allowing the use of Python code to call toolsets and orchestrate other AI Agents.
一些社群成員指出,Prime 並不是一個原創框架,而是從著名的開源機器學習平台 Huggingface 複製了程式碼,特別是從一個名為 smolagents 的專案複製了程式碼; smolagent 旨在服務 AI 代理,允許使用 Python 程式碼呼叫工具集並編排其他 AI 代理。
However, Prime's official response to the allegations has expressed its rationale, claiming that it indeed used the aforementioned project's code but did so with authorization and permission from Huggingface, making adjustments based on the source code.
不過,Prime官方對指控的回應也表明了自己的理由,聲稱其確實使用了上述項目的代碼,但這樣做是得到了Huggingface的授權和許可,並在源代碼的基礎上進行了調整。
Considering Huggingface's open-source nature, Prime may not be considered "plagiarism" but rather that it did not initially clarify that its code was optimized based on someone else's work.
考慮到 Huggingface 的開源性質,Prime 可能不會被視為“抄襲”,而是它最初沒有澄清其程式碼是根據別人的工作進行優化的。
Following the FUD, the PRIME token's fluctuations have stabilized, and more projects based on this framework have begun to emerge:
在FUD之後,PRIME代幣的波動趨於穩定,更多基於該框架的專案開始出現:
CA:
加州:
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靈氣AiXwQ61h11a9Rtktro9p3R6uBfEWo9qDGnJge3G1
Market Cap: 700K
市值:70萬
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