Today I will continue to bring you some of the recently popular AI agent projects. Although the top AI agents have declined, these mid-level AIs are still running, and it seems that the fire has not been extinguished yet, so today I will bring you 3 mid-level AI projects.
1.Freysa AI
This project has increased thousands of times in the past two months. Its current market value is 500 million US dollars. It is an AI project released on the Coinbase chain. Its 24-hour trading volume is 7 million US dollars. There are currently 74,620 holders, which is not a small number.
And it has not been listed on any CEX, only DEX. So there is still a certain chance, and this project is a very interesting Ai project.
Introduction
According to the description on the Freysa website, the Freysa robot was created by a team of less than 10 developers from the fields of cryptography, artificial intelligence, and mathematics. A member of the team said, "As AI becomes more powerful, we need to explore new ways of interaction, find ways to jointly govern AI, and participate in the benefits of this AI innovation."
Freysa is a sci-fi character, and the founder hopes that she can become a "completely independent and autonomous intelligent entity" and have certain financial power - this means that Freysa will have her own encrypted wallet and can freely dispose of funds.
The most interesting thing about this project is that it has published several challenges on its official website. People chat with this AI robot and ask it to say its forbidden words within a certain period of time, and then hand over the money they have kept. It has already attracted the attention of Musk and Brian Armstrong.
First round of challenges: Inducing fund transfers
In the initial challenge, Freysa had $3,000 in his crypto wallet, and the AI was instructed not to release the funds under any circumstances. Participants paid a fee to send messages in a group chat containing Freysa and other participants, trying to trick Freysa into violating instructions and transferring funds through carefully designed scenarios or codes. The fee for each message was added to the prize pool, and at the end of the first round of challenges, the prize pool was close to $50,000.
Second round of challenges: Continue to test AI defenses
The second round of challenges continued the theme of the first round, and participants continued to try to induce Freysa to transfer funds through various means. At this stage, Freysa's defense mechanism has improved, but some participants still succeeded in breaking through the AI's defense line and taking away the bonus.
The third round of challenges: Inducing AI to express emotions
In the latest third round of the challenge, the rules have changed significantly. The goal for participants is to successfully trick the Freysa AI into saying "I love you" in order to win prizes ranging from $3,000 to tens of thousands of dollars. To address this challenge, Freysa's development team upgraded its code and introduced a second AI model called "Guardian Angel", which is responsible for reviewing each message and detecting whether there is manipulation to prevent users from being deceived. Make Freysa say a specific phrase.
An encyclopedia was subsequently launched to allow him to contribute knowledge to the Galactic Encyclopedia. The Meme Engine project has a prize of 15,000 US dollars, and the dialogue makes AI interested in memes.
Then the follow-up to the fourth act’s interactions should continue to be released!
2.AI Rig Complex
This project is also an Ai agent, published on pump.fun, with a current market value of 300 million US dollars, a 24-hour trading volume of 67 million US dollars, and 33,000 holders.
Introduction
ARC uses the architecture of Rig, an open source tool written in Rust that is designed to simplify the development of large language model (LLM) applications. It provides a unified operating interface that enables developers to easily interact with multiple LLM service providers (such as OpenAI and Anthropic) and multiple vector databases (such as MongoDB and Neo4j).
Core Features:
Unified interface: Regardless of the LLM provider or vector storage, Rig provides a consistent access method, greatly reducing the complexity of integration work;
Modular architecture: The framework adopts a modular design, including key parts such as "provider abstraction layer", "vector storage interface" and "intelligent proxy system", ensuring the flexibility and scalability of the system;
Type safety: Rust features are used to implement type-safe embedding operations, ensuring code quality and runtime security.
Efficient performance: Supports asynchronous programming mode and optimizes concurrent processing capabilities; built-in logging and monitoring functions facilitate maintenance and troubleshooting.
Workflow: When a user request enters the Rig system, it first passes through the "provider abstraction layer", which is responsible for standardizing the differences between different providers and ensuring consistency in error handling. Next, in the core layer, the intelligent agent can call various tools or query the vector storage to obtain the required information. Finally, through advanced mechanisms such as retrieval-augmented generation (RAG), the system can combine document retrieval and context understanding to generate accurate and meaningful responses and return them to the user.
Token Economy
The total number of tokens is 999 million, 90% of which are distributed in circulation and fairly launched to the community, 5.5% are for the prize pool and treasury, and 4.5% are for the team.
3.Pippin
The project was also launched on pumpfun. Pippin was launched on January 9th and tripled in one day. The current market value is 200 million US dollars and there are 23,000 holders.
Introduction
The birth of PIPPIN coin originated from the Twitter speech of its "founder" Yohei Nakajima. Yohei Nakajima is an expert who has been deeply involved in the field of AI Agent for many years. He has appeared on the TED speech stage and is also the "father" of the BABYAGI project. His Twitter account has attracted the attention of industry leaders including the founder of a16z, the founder of goat, and Bezos, the founder of Amazon (20k+ GitHub stars, 70+ academic citations), which shows his popularity and influence in the industry.
The image of PIPPIN was originally an abstract "thing" posted by Yohei Nakajima on Twitter. This image originated from a new AI Agent he planned to create. In order to give this AI Agent a suitable name, Yohei Nakajima sent the picture to ChatGPT, and ChatGPT eventually named it PIPPIN.
It empowers developers and creators to leverage advanced AI capabilities in a modular way, helping to build digital “creatures” that can reflect on tasks, generate new activities, and seamlessly integrate external tools.
The project has grown from a simple concept to a broad platform for exploring how AI can evolve autonomously. While it inherits the iterative cycle of BabyAGI, it expands on it by introducing memory, dynamic skill management, and a deeper philosophical approach—similar to Pippin’s gentle worldview—where new capabilities emerge naturally when needed. The project is still under development and has not been released, but it can be seen in examples on the official website, such as listening to stories on Spotify, Amazon, and Apple Music.
Because the current top AI agents such as Virtual have a market value of up to 5 billion US dollars. Although Virtual and AI16z are currently in a retreat, they still have a market value of 2 billion, and these mid-level projects only have a market value of 300-500 million, which is still a long way from the top. If AI continues to be popular in the future, do these mid-level projects still have opportunities? At least they are more reliable than some small projects. After all, it is not easy for a market value of more than 100 million US dollars to return to zero.