Prime: A New Modular AI Agent Open Source Framework

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; for funds that found the valuations of the earlier projects too high and missed the opportunity, FOMO may spill over into similar projects. So, will this new framework project Prime follow a similar path? How does it differ from the other frameworks?

The first week of 2025 in the crypto market has been dominated by the AI Agent hype.

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).

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.

Due to the intense PVP situation that can easily form at token launches, significant price fluctuations are to be expected.

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.

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

Modular AI Agent Open Source Framework

First, we need to clarify what an AI Agent framework is.

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.

So, what does "easier to create and deploy" specifically mean on Prime?

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.

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.

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.

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.

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.

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-known as ai16z's Eliza, but the stars on GitHub are steadily increasing (currently 66), presenting a more niche appeal.

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.

However, based on the information available, we can compare Prime with several popular frameworks to help everyone quickly understand the overall picture:

Rising Plagiarism FUD, Ecosystem Applications in Initial Stages

The PRIME token surged to $20M this morning but quickly retraced by half in the afternoon, currently around $11M.

One significant reason for this is that the project has fallen into the FUD surrounding plagiarism.

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.

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.

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.

Following the FUD, the PRIME token's fluctuations have stabilized, and more projects based on this framework have begun to emerge:

CA:

AuraAiXwQ61h11a9Rtktro9p3R6uBfEWo9qDGnJge3G1

Market Cap: 700K

The