Written by: Deep Tide TechFlow

GM, welcome to the first week of 2025, influenced by the rise of AI Agents.

In the past week, a clear trend is that the market has shown great FOMO emotions towards 'framework' projects:

First, ai16z has repeatedly broken new highs, with its market cap reaching around 2 billion dollars; subsequently, the enterprise-level framework swarms surged rapidly, becoming another AI Agent framework token with a market cap over 300 million after ai16z (Eliza), ZEREBRO (ZerePy), and arc (RIG).

And today, another AI Agent framework named Prime has emerged, with its market cap rapidly rising, the token reaching up to around 20M within less than 2 hours of opening, but has now significantly declined, currently hovering around 11M.

Since the token opens easily to form intense PVP situations, significant price fluctuations are expected.

However, after the early-stage saturation, referencing the earlier framework projects, the market cap is generally above 300 million dollars; for those who think the valuations of the previous projects are too high and have not invested, perhaps FOMO sentiments will spill over into similar projects.

So, will this new framework project Prime also follow a similar path? How does it differ from the other frameworks?

Modular AI Agent open-source framework

First, we need to clarify a question: what exactly is an AI Agent framework?

In short, it is a toolkit provided to developers to help them more easily create, deploy, and manage AI agents, enabling these AIs to autonomously complete specific tasks such as trading, social interaction, or content creation.

So where does this 'easier to create and deploy' specifically manifest in Prime?

From the project's official description, the most intuitive aspect is the elimination of a large amount of repetitive low-level coding work; Prime describes itself more as a 'modular' AI Agent framework.

For example, it includes a large number of pre-built libraries, containing a rich collection of tools, APIs, and templates; this means developers can select only the required components when creating an agent, reducing development time and keeping the system streamlined.

At the same time, modularity allows for unique configurations, enabling developers to build agents tailored to specific industries. For example, a healthcare agent may prioritize patient data analysis, while a retail agent focuses on customer personalization.

This modularity also implies cost reduction. By using only the necessary modules, developers can save resources, and PRIME hopes to become a more economical choice for startups and enterprises.

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

More importantly, this framework is open-source and can be directly installed locally using Python from the code repository on GitHub.

In terms of popularity, Prime is clearly not as well-regarded as ai16z's Eliza, but the stars on GitHub are steadily increasing (currently 66), presenting more of a small yet beautiful feeling.

Whether the actual effectiveness of this framework is as good as stated in the official tweets remains to be answered by tech-savvy individuals after practical deployment testing. As the price of the PRIME token fluctuates, more developers will inevitably join to test the framework's effectiveness, and we can wait for more social media evaluations and opinions from key figures.

However, just from the information on paper, we can first compare Prime with several popular frameworks to help everyone quickly understand the overall picture:

Plagiarism FUD is rising, and ecological applications are in the initial stage.

PRIME token rapidly reached 20M this morning but quickly halved in the afternoon, currently around 11M.

One important reason is that the project has fallen into the FUD noise of plagiarism.

Some community members pointed out that Prime is not an original framework, but has copied code from a well-known open-source machine learning platform called Huggingface's project called smolagents; and smolagent serves AI Agents, with the capability to use Python code to call toolsets and orchestrate other AI Agents.

However, Prime's official response to the doubts expressed its legitimacy, claiming it indeed used the code from the aforementioned projects, but adjusted it based on the source code with authorization from Huggingface.

Considering the open-source nature of Huggingface, Prime may not be considered 'plagiarism' but rather has not disclosed that its code is actually optimized based on others.

After the FUD, as of now, the PRIME token's fluctuations have stabilized relatively, and more projects based on this framework are beginning to emerge:

  • AURA

CA:

AuraAiXwQ61h11a9Rtktro9p3R6uBfEWo9qDGnJge3G1

Market Cap: 700K

The project claims to act as a general coordinator and assistant for developers. Its primary goal is to simplify and optimize the development, deployment, and management of AI agents built on PRIME.

The token was deployed today, briefly surpassing 3.5M, and has now significantly declined.

It is worth mentioning that AURA was mentioned and acknowledged by Prime's official sources, but data shows that developers hold 20%.

  • SPROUT

CA:

SPRTnpcEJP9Ahr6NNi6a8mvFhgpE27yPWowjBpBfQfu

Market Cap: 160K

In a very early stage, and Prime's official tweets indicate that this is not their officially released AI Agent, a smaller market cap also means higher risks.

The project claims to be an AI-driven agent built on the PRIME framework, aimed at optimizing trading on Solana to improve speed, cost, and security.

In the second half, multi-frameworks.

Overall, PRIME currently does not compare to the earlier popular frameworks in terms of market capitalization, influence, or recognition.

How the project develops in the future will depend on whether key figures are willing to invest, and whether the framework itself can develop better applications.

However, the emergence of Prime shows that framework-type projects can easily trigger market FOMO and are very similar to the previous logic of VC tokens --- the valuation of infrastructure is higher than that of applications.

This also means that the AI Agent track has actually entered the second half, transitioning from a dominant framework and a variety of applications to multi-framework competition and more specialized applications.

After all, in the reality of open source frameworks and increasingly powerful AI capabilities, becoming an AI agent is relatively easier; only those frameworks and applications with unique features can survive in competition, while a large number of projects without distinct characteristics may quickly be forgotten like memes.

For project parties, the entry threshold for AI Agents will become increasingly high.

For investors, a trend of selecting the best among the best is inevitable.