AIOS: The Future Road of Intelligent Agent Operating System

Beginner1/20/2025, 3:24:10 AM
AIOS is an innovative intelligent agent operating system that embeds large language models (LLMs) as the core of the operating system. Through kernel layers and development toolkits, it provides a flexible and efficient ecosystem for developers and users, and supports a variety of deployment modes from local to remote, personal virtual kernels. AIOS Chain further combines blockchain technology to build a decentralized AI agent infrastructure and promote the intelligent development of the Web3 field.

What is AIOS?


Image:https://docs.aios.foundation/aios-docs

AIOS, short for AI Agent Operating System, is an innovative platform that deeply integrates large language models (LLMs) into the operating system, with the uniqueness of treating LLM as the "brain" of the operating system. The design goal of AIOS is not only to provide an environment for running intelligent agents, but also to solve complex issues such as scheduling, memory management, and tool management, in order to provide developers and users with a powerful and well-rounded development and runtime platform.

AIOS contains the following two core components:

1. AIOS Kernel:
• Provides core functionality for proxy operation, such as context switching, memory management, and tool invocation.
• Provide a unified interface for LLM through system calls to enhance system compatibility and scalability.

2. AIOS SDK (Cerebrum):
• Provide development toolkits for proxy developers to simplify the entire process from code writing to proxy testing.
• Including a variety of API interfaces and development libraries, supporting modular agent development.

Whether you are a regular user or a developer, AIOS provides a complete solution from usage to development.

AIOS Architecture Design and Core Features

The architecture of AIOS is based on a layered design, providing flexible functionality support through a modular approach. The following are the core functional modules of AIOS and their roles:

1. LLM Core (Language Model Core):
• Unify the instances of LLM from different suppliers and abstract them as LLM cores similar to CPU cores.
•Supports the simultaneous operation of multiple LLMs to meet complex task requirements.

2. Context Manager (Context Manager):
• Responsible for managing the context switching of LLM, improving task processing efficiency by saving intermediate results.
• Supports two switching modes:
• Based on text: suitable for scenarios with high compatibility requirements.
• Based on Logits: Suitable for complex applications that require optimized search and decoding.

3. Memory Manager (内存管理器):
• Manage temporary data storage for running, such as intermediate variables and recently processed data.
• Provide efficient data reading and writing functions to ensure smooth operation of proxy tasks.

4. Storage Manager (存储管理器):
• Handling persistent storage requirements, supporting long-term tasks and log recording with proxies.
• Provide independent data storage environments for each agent to ensure data security.

5. Tool Manager (工具管理器):
• Manage the external tools required for agent operation, including loading, calling, and conflict resolution of tools.
• Ensure the stability of the tool in a multi-agent environment.

This modular design not only enhances the flexibility of AIOS, but also provides developers with a variety of options for optimizing performance.

Multiple deployment modes of AIOS

AIOS provides a variety of deployment modes to meet the needs of different users and developers:

  • Local Kernel Mode (Mode 1): Users can develop, run, and test agents locally, and share and download agents through Agent Hub.
  • Remote Kernel Mode (Mode 2): Suitable for resource-constrained devices (such as mobile phones, edge devices), supporting proxy remote invocation and development.
  • Remote Kernel Mode (Mode 2.5): Supports distributed development and testing, achieving collaborative development through data packaging and transmission between different machines.
  • Personal Remote Kernel Mode (Mode 3): Users achieve data synchronization and persistence through registered accounts to improve the long-term availability of personal agents.
  • Personal remote virtual kernel mode (Mode 4): Coexistence and resource scheduling of multiple personal kernels in the same physical device through virtualization technology.

Performance of AIOS Chain and AIOS Token

On January 14, 2025, Aiccelerate Foundation announced the destruction of all $AIOS tokens held by the foundation on Solana (original link: https://x.com/aios_foundation/status/1878992480680755312), accounting for the total supply66.6%,and plans to launch an independent AIOS Chain, where users can migrate $AIOS from Solana to the new chain, and the destroyed tokens will exist on the AIOS Chain in the form of staking.

After this announcement, $AIOS surged over 140% in the short term and then pulled back. This move is seen as a significant shift in AI narrative, gradually evolving from initial AI proxies like GOAT to AI tools with investment research capabilities (such as AIXBT) and driving the rise of AI-exclusive blockchains, including independent application chains like ai16 and AIOS, as well as AI proxy Layer 1 planned to be launched by ai16z next year. The integration of AI and blockchain is moving from application tools to underlying ecosystem construction, bringing more possibilities for future development.


Image: The market quickly reacts after receiving the news


Image: AIOS Chain vs. AI Leading Project Comparison Charthttps://aiosfoundation.medium.com/hello-world-from-the-aios-chain-f98e2922abcf

Summary

AIOS, as an intelligent agent operating system based on large-scale language models, not only provides developers and users with efficient development and usage experiences, but also explores the decentralized future of intelligent agents through the integration of blockchain technology. In the rapidly developing era of artificial intelligence and Web3 technology, AIOS undoubtedly provides new possibilities for the deep integration of intelligence and decentralization.

In the future, whether in the fields of office, education, healthcare, or finance, AIOS will help users and developers achieve more efficient and intelligent application scenarios through its flexible architecture and innovative deployment models.

AIOS has recently fallen by nearly half from its high point, and its current market value is around 40 million US dollars. Please trade cautiously and be aware of the risks.

AIOS is now available in the gate innovation zone, click to trade!

https://www.gate.io/pilot/solana/real-aios-foundation-aios

Author: Max
Reviewer(s): Edward
* The information is not intended to be and does not constitute financial advice or any other recommendation of any sort offered or endorsed by Gate.io.
* This article may not be reproduced, transmitted or copied without referencing Gate.io. Contravention is an infringement of Copyright Act and may be subject to legal action.

AIOS: The Future Road of Intelligent Agent Operating System

Beginner1/20/2025, 3:24:10 AM
AIOS is an innovative intelligent agent operating system that embeds large language models (LLMs) as the core of the operating system. Through kernel layers and development toolkits, it provides a flexible and efficient ecosystem for developers and users, and supports a variety of deployment modes from local to remote, personal virtual kernels. AIOS Chain further combines blockchain technology to build a decentralized AI agent infrastructure and promote the intelligent development of the Web3 field.

What is AIOS?


Image:https://docs.aios.foundation/aios-docs

AIOS, short for AI Agent Operating System, is an innovative platform that deeply integrates large language models (LLMs) into the operating system, with the uniqueness of treating LLM as the "brain" of the operating system. The design goal of AIOS is not only to provide an environment for running intelligent agents, but also to solve complex issues such as scheduling, memory management, and tool management, in order to provide developers and users with a powerful and well-rounded development and runtime platform.

AIOS contains the following two core components:

1. AIOS Kernel:
• Provides core functionality for proxy operation, such as context switching, memory management, and tool invocation.
• Provide a unified interface for LLM through system calls to enhance system compatibility and scalability.

2. AIOS SDK (Cerebrum):
• Provide development toolkits for proxy developers to simplify the entire process from code writing to proxy testing.
• Including a variety of API interfaces and development libraries, supporting modular agent development.

Whether you are a regular user or a developer, AIOS provides a complete solution from usage to development.

AIOS Architecture Design and Core Features

The architecture of AIOS is based on a layered design, providing flexible functionality support through a modular approach. The following are the core functional modules of AIOS and their roles:

1. LLM Core (Language Model Core):
• Unify the instances of LLM from different suppliers and abstract them as LLM cores similar to CPU cores.
•Supports the simultaneous operation of multiple LLMs to meet complex task requirements.

2. Context Manager (Context Manager):
• Responsible for managing the context switching of LLM, improving task processing efficiency by saving intermediate results.
• Supports two switching modes:
• Based on text: suitable for scenarios with high compatibility requirements.
• Based on Logits: Suitable for complex applications that require optimized search and decoding.

3. Memory Manager (内存管理器):
• Manage temporary data storage for running, such as intermediate variables and recently processed data.
• Provide efficient data reading and writing functions to ensure smooth operation of proxy tasks.

4. Storage Manager (存储管理器):
• Handling persistent storage requirements, supporting long-term tasks and log recording with proxies.
• Provide independent data storage environments for each agent to ensure data security.

5. Tool Manager (工具管理器):
• Manage the external tools required for agent operation, including loading, calling, and conflict resolution of tools.
• Ensure the stability of the tool in a multi-agent environment.

This modular design not only enhances the flexibility of AIOS, but also provides developers with a variety of options for optimizing performance.

Multiple deployment modes of AIOS

AIOS provides a variety of deployment modes to meet the needs of different users and developers:

  • Local Kernel Mode (Mode 1): Users can develop, run, and test agents locally, and share and download agents through Agent Hub.
  • Remote Kernel Mode (Mode 2): Suitable for resource-constrained devices (such as mobile phones, edge devices), supporting proxy remote invocation and development.
  • Remote Kernel Mode (Mode 2.5): Supports distributed development and testing, achieving collaborative development through data packaging and transmission between different machines.
  • Personal Remote Kernel Mode (Mode 3): Users achieve data synchronization and persistence through registered accounts to improve the long-term availability of personal agents.
  • Personal remote virtual kernel mode (Mode 4): Coexistence and resource scheduling of multiple personal kernels in the same physical device through virtualization technology.

Performance of AIOS Chain and AIOS Token

On January 14, 2025, Aiccelerate Foundation announced the destruction of all $AIOS tokens held by the foundation on Solana (original link: https://x.com/aios_foundation/status/1878992480680755312), accounting for the total supply66.6%,and plans to launch an independent AIOS Chain, where users can migrate $AIOS from Solana to the new chain, and the destroyed tokens will exist on the AIOS Chain in the form of staking.

After this announcement, $AIOS surged over 140% in the short term and then pulled back. This move is seen as a significant shift in AI narrative, gradually evolving from initial AI proxies like GOAT to AI tools with investment research capabilities (such as AIXBT) and driving the rise of AI-exclusive blockchains, including independent application chains like ai16 and AIOS, as well as AI proxy Layer 1 planned to be launched by ai16z next year. The integration of AI and blockchain is moving from application tools to underlying ecosystem construction, bringing more possibilities for future development.


Image: The market quickly reacts after receiving the news


Image: AIOS Chain vs. AI Leading Project Comparison Charthttps://aiosfoundation.medium.com/hello-world-from-the-aios-chain-f98e2922abcf

Summary

AIOS, as an intelligent agent operating system based on large-scale language models, not only provides developers and users with efficient development and usage experiences, but also explores the decentralized future of intelligent agents through the integration of blockchain technology. In the rapidly developing era of artificial intelligence and Web3 technology, AIOS undoubtedly provides new possibilities for the deep integration of intelligence and decentralization.

In the future, whether in the fields of office, education, healthcare, or finance, AIOS will help users and developers achieve more efficient and intelligent application scenarios through its flexible architecture and innovative deployment models.

AIOS has recently fallen by nearly half from its high point, and its current market value is around 40 million US dollars. Please trade cautiously and be aware of the risks.

AIOS is now available in the gate innovation zone, click to trade!

https://www.gate.io/pilot/solana/real-aios-foundation-aios

Author: Max
Reviewer(s): Edward
* The information is not intended to be and does not constitute financial advice or any other recommendation of any sort offered or endorsed by Gate.io.
* This article may not be reproduced, transmitted or copied without referencing Gate.io. Contravention is an infringement of Copyright Act and may be subject to legal action.
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