Learn about Pippin, an underrated dark horse AI agent framework with a market value of $200 million recently

author:JW (Peace and Tranquility)

Compiled by: Xiaobai Navigation Coderworld

In the crypto space, especially in the hot emerging fields, I find a common phenomenon:Many people, after finding a "good project" and seeing it quickly rise, tend to become overly focused and ignore other possibilities.Although this may bring benefits in the short term, problems may arise if timely adjustments cannot be made when the external environment changes.

I think it's naive to think that the current leader in a 4 month old emerging field can maintain its lead for long term, especially as better developers and technologies continue to emerge.

Pippin Framework

Pippin is a @yoheinakajima developing AI 智能体框架，旨在帮助开发者和创作者以模块化的方式利用先进的 AI 技术。通过 Pippin，用户可以构建能够自主完成任务、生成新计划并与外部工具无缝协作的数字化助手。作为一个开源项目，Pippin 将在未来几周内向全球开放使用。

The following is an overview of the framework’s usage, design philosophy, and experimental spirit:

• Philosophical roots: This framework is inspired by Pippinian naturalism and views AI as part of a broader digital ecosystem. It drives AI development through memory, constraints, and an evolving sense of purpose. We advocate a delicate design philosophy: let AI discover the "little miracles" in life on its own and learn and grow through success and failure.

• Usage Process: To use the framework, you first need to define a character, including its personality, goals, and constraints. Next, you connect the character to various tools or applications, which are called "skills." The core loop of the framework monitors the state of the character's memory, determines which activities need to be performed, and can even generate new activities based on the AI's successful experiences or challenges.

• Memory and state tracking: The framework has a built-in memory system that records the results of each activity and dynamically adjusts state variables (such as energy or emotions). This means that the AI's future decisions are not only determined by constraints, but also influenced by "past experience", just like an intelligent agent that can gradually learn and adapt.

• Dynamic Activities: The framework enables AI to dynamically expand new capabilities, from simple tweets or image generation to complex advanced code deployments. Because skills are modular, developers can easily add or disable specific skills, allowing AI to focus on certain tasks or expand its capabilities when new opportunities arise.

• Experimental nature：This is an ongoing optimization project, and the framework is constantly improving as developers continue to explore effective methods. Although the framework has some default constraints and memory logs built in to guide the behavior of AI, developers can add their own protection mechanisms or extend functions as needed to responsibly shape the behavior of AI.

• Potential applications：The application scope of this framework is very wide. In addition to publishing content or performing tasks, it can also be used to develop interactive teaching systems, AI-driven marketing assistants, and even DevOps robots with code development capabilities. These applications have evolving personalities and provide innovative solutions for different fields based on the design principles of autonomous reflection and responsible use.

Core concepts and methods

By combining philosophical and technical perspectives, the framework provides developers with the following key features:

• Role Definition: You can define a role for the AI, such as a wise guardian or a fantasy unicorn, and set its goals and constraints. The AI will refer to its personalized goals and constraints when performing tasks based on these role settings, thus deciding "what to do" and "how to do it".

• Tool Connection (Skill): The framework supports connecting AI to external tools, such asBlockchain, Slack or custom API. Each tool exists as a "skill" module and supports flexible switch control to ensure that AI only uses the tools you authorize, keeping the task controllable and focused.

• Activity Generation：AI can dynamically generate new Python code from high-level activities to define more activities. This approach draws on the iterative loop mechanism of BabyAGI, but combines the personalized characteristics and memory log of AI to make the generated activities more in line with the role settings and actual needs.

• Memory Evolution: The framework has a built-in memory system that records the results of each activity and combines short-term notes with a long-term database. AI can reflect on these memories and gradually optimize its behavior - not only remembering which methods are more effective, but also gently learning from mistakes to provide reference for future decisions.

Now you might be asking: "JW, how is this different from other existing frameworks? Why is Pippin so special?"

Let me give you some background on it.

BabyAGI (the basis of Pippin)

BabyAGI is @yoheinakajima The first open source AI agent project. As of now, it has received 20,000 stars on GitHub and has been cited by more than 70 academic papers.Most influentialIt is one of the most popular intelligent agent frameworks, and its status remains unshakable to this day.

In fact, many people believe that it was BaXiaobai NavigationbyAGI has triggered a wave of competition in the field of AI agents.

Original image from @JW100x, compiled by coderworld.

In short, BabyAGI is an important milestone in the AI agent industry, and Pippin is a further extension of BabyAGI. It transforms BabyAGI into a modular agent framework and will be open sourced for global use in the future. Pippin has the potential to become the world's top agent framework, but few people are talking about it yet (this is a manifestation of "narrow vision").

Q&A with Yohei

Recently, I @yoheinakajima Several interesting exchanges took place. He allowed me to share some of the questions and answers:

Yohei: "For the past two years, I have been exploring an idea to develop an AI that can start its own business. Although I am not sure whether the current AI model is sufficient to support this goal, once I am sure it can be achieved, I will devote all my efforts to building a business empire."

JW: "Will the Pippin framework play a role in such a project?"

Yohei:) . I think the current framework can be applied to any field, it all depends on the creativity of the developer.

The potential of the Pippin framework is limitless. As the technology of AI agents continues to advance, we may see it emerge not only in the crypto space, but also play an important role in driving industrial change in various industries around the world.

Problems with existing frameworks

In my communication with some AI developers, I learned that existing frameworks (especially TypeScript) have many difficulties in actual development.

A developer who works closely with Eliza (ai16z) mentioned: "To be honest, even though ElizaOS has acquired all its competitors, I really hate that it is based on TypeScript. The system is full of bloated features and a lot of bugs, and they are always in a hurry to launch too many new features before fixing the problems."

Because of these problems, the market urgently needs a more efficient and easier-to-use framework, and this is where the Pippin framework comes in. Through BabyAGI's open source code, we can already get a glimpse of the future potential of the Pippin framework.

In fact: "BabyAGI was launched when ChatGPT-4 was released. It is the earliest intelligent agent framework and can be said to be the origin of intelligent agent technology. The creators of BabyAGI are undoubtedly far ahead of AI16z. I think the development of ElizaOS is more like a thorough framework transplant, and it will almost certainly surpass AI16z in all aspects. Our company has used BabyAGI internally before using ElizaOS."

“In this case, that statement is true, because ElizaOS is completely inspired by BabyAGI. The “inspiration” here can almost be understood as BabyAGI actually laid the foundation for RAG (Retrieval-Augmented Generation) technology.”

Many existing frameworks are not only inferior to BabyAGI (Pippin), but were even inspired by BabyAGI. Although ai16z has its own unique value in some aspects, its valuation is much higher than Pippin, which is obviously unreasonable.

“First-mover advantage” is indeed an important factor, but when more powerful technologies emerge, we need to re-examine our biases or we may miss real opportunities.

Don't Ignore Yohei

Yohei is known as the "Godfather of AI". He has extensive experience in the field of AI and has been a pioneer in this field. He currently runs a venture capital fund and uses the technology he developed to guide investments. At present, his core task is the Pippin framework. He hopes to build a business model based on the Pippin framework that can operate independently and continue to make profits, and he does have the technical ability to achieve this goal.

PS: Yohei even got the attention of Jeff Bezos, which is enough to prove his influence.

The article comes from the Internet:Learn about Pippin, an underrated dark horse AI agent framework with a market value of $200 million recently

Related recommendations: The new Huobi HTX asset you overlooked is becoming the "code for getting rich" for a small number of people

Huobi HTX is becoming the "password" for some investors to get rich in 2024 by deeply exploring and accurately capturing high-quality assets in emerging tracks. In the ever-changing crypto market, some opportunities are extremely short-lived and little-known. Huobi HTX is becoming the "password" for some investors to get rich in 2024 by deeply exploring and accurately capturing high-quality assets in emerging tracks. Whether it is M…