“Framework” projects are becoming popular, here’s a quick look at Prime, a new AI Agent new open source framework

Author: Shenchao TechFlow

GM, welcome to the first week of 25 years of server expansion by AI Agent.

In the past week, an obvious trend is that the market has shown great FOMO sentiment towards "framework" projects:

First, ai16z repeatedly broke new highs, and its market value reached a leading level of about 2 billion US dollars; then the enterprise-level framework swarms rose rapidly, becoming another AI with a market value of over 300 million after ai16z (Eliza), ZEREBRO (ZerePy) and arc (RIG) Agent framework token.

Today, another AI Agent framework called Prime appeared, and its market value has also risen rapidly. In less than 2 hours after the opening of the token, it rose to a maximum of about 20M. So far, it has fallen sharply, and the current market value is hovering around 11M.

Since tokens can easily form intense PVP situations when they open, it is understandable that prices fluctuate violently.

However, after the previous involution, referring to the situation of the previous framework projects, the market value is generally more than 300 million US dollars; for those who think that the valuation of the previous projects is too expensive and do not have funds, FOMO may also spill over to similar projects. project.

So, will Prime, this new framework project, follow a similar path? How is it different from other frameworks?

Modular AI Agent open source framework

First of all, we need to understand a question: what is the AI ​​Agent framework?

In short, it is a set of toolkits provided to developers to help them more easily create, deploy and manage AI agents (Agents) , allowing these AIs to autonomously complete specific tasks, such as transactions, social interaction or content creation, etc. .

So where does this "easier to create and deploy" specifically manifest on Prime?

Judging from the official description of the project, the most intuitive thing is that it saves a lot of repetitive low-level code work. Prime describes itself more as a " modular" AI Agent framework.

For example, there are a large number of prefabricated libraries, including rich tools, APIs, template collections, etc.; this means that developers can only select the required components when making an Agent, reducing development time and keeping the system streamlined.

At the same time, modularity allows for unique configurations, enabling developers to build industry-specific agents. For example, a healthcare agency might prioritize patient data analytics, while a retail agency focuses on customer personalization.

And this modularity also means cost reduction. By using only the modules they need, developers can save resources, and PRIME hopes to become an economical choice for startups and enterprises.

According to Prime's official description , using their framework can speed up development by 30%, and there is also a dashboard function that can automatically monitor the current performance of the created AI Agent and predict the future performance of the Agent.

More importantly, this framework is open source, and you can directly use Python to install the library locally in the Github code repository .

In terms of popularity, Prime is obviously not as good as ai16z's Eliza, but the star in Github is also continuing to rise (currently 66), and it currently displays more of a small but beautiful feeling.

As for whether the specific use effect of this framework is as good as stated in the official recommendation, the answer will not be known until the actual deployment and testing of the technology by buddies. As the price of PRIME tokens changes, more developers are bound to join in to jointly test the effectiveness of the framework. You can wait for more social media reviews and opinions from key figures in the future.

However, just looking at the paper information, we can first compare Prime with several popular frameworks to help everyone quickly understand the whole picture:

Plagiarism FUD is gradually rising, and ecological applications are in

the initial stage

The PRIME token reached 20M this morning, but quickly fell back to half in the afternoon, and is currently around 11M.

One of the important reasons is that the project fell into plagiarized FUD sounds.

Some community netizens pointed out that Prime is not an original framework, but plagiarized the code of another project called smolagents on the well-known open source machine learning platform huggingface; smolagent serves AI Agents and can use Python code to Call the toolset and orchestrate other AI Agents.

However, Prime officials also expressed their reasonableness in response to the doubts, claiming that they did use the code of the above-mentioned projects, but made adjustments based on the source code with the authorization and permission of Huggingface.

Considering the open source nature of Huggingface, Prime may not be called "plagiarism", but rather that it did not explain in advance that its code was actually optimized based on someone else's.

After FUD, PRIME token fluctuations have become relatively stable so far, and more projects based on this framework have begun to emerge:

• AURA

CA:

AuraAiXwQ61h11a9Rtktro9p3R6uBfEWo9qDGnJge3G1

Market value: 700K

The project claims to serve as a universal coordinator and assistant for developers. Its main purpose is to simplify and optimize the development, deployment and management of AI agents built on PRIME.

The token was deployed today and once exceeded 3.5M, but has now fallen sharply.

It is worth mentioning that AURA was officially mentioned and recognized by Prime, but the data shows that dev holds 20% of the position.

• SPROUT

CA:

SPRTnpcEJP9Ahr6NNi6a8mvFhgpE27yPWowjBpBfQfu

Market value: 160K

It is in a very early stage, and Prime’s official tweet stated that this is not their official AI Agent. The smaller market value also means greater risks.

The project claims to be an artificial intelligence-driven agent built on the PRIME framework, designed to optimize transactions on Solana to improve speed, cost and security.

Second half, multiple frames

Overall, PRIME’s current market value, influence, and recognition are not as good as those of the previous popular frameworks.

How the project develops later depends on whether there are key people to pay for it, and whether the framework itself can develop better applications.

However, as can be seen from the emergence of Prime, framework projects are indeed easy to cause FOMO in the market. It is also very similar to the logic of previous VC coins- the valuation of infrastructure projects is higher than that of applications.

This also means that the AI ​​​​Agent track has actually entered the second half, from a dominant framework and a hundred flowers blooming applications to multi-framework competition and more professional applications.

After all, in the reality where frameworks are open source and AI capabilities are getting stronger and stronger, it will be relatively easier to be an AI agent; only those frameworks and applications with characteristics can survive the competition, while a large number of projects without characteristics may be quickly eliminated like Meme. Forget.

For project parties, the entry threshold for AI Agent will become increasingly higher.

For leeks, the trend of choosing the best among the best is inevitable.

It should be reminded that the AI ​​Agent craze is also highly time-sensitive. Many early-stage projects also have the risk of returning to zero after the hot trend. Please DYOR and do your own research and judgment. All the above content is not investment advice.