ANP (Agent Network Protocol) is an open-source agent communication protocol, becoming the HTTP of the agent internet era, building an open, secure, and efficient collaboration network for billions of agents. It breaks down data silos, enables barrier-free communication among all agents, and ensures that AI can obtain complete contextual information. Agents do not need to imitate human internet interaction methods; they interact directly with the digital world through dedicated APIs and protocols, optimizing machine-to-machine communication efficiency. Using AI to enable agents to automatically organize and autonomously negotiate, creating a more cost-effective collaboration network.
What is ANP
ANP (Agent Network Protocol) is an open-source agent communication protocol, becoming the HTTP of the agent internet era, building an open, secure, and efficient collaboration network for billions of agents. It enables barrier-free communication among all agents and ensures that AI can obtain complete contextual information.
How ANP works
ANP adopts a layered architecture, consisting of three layers:Identity and encrypted communication layer: Based on the W3C DID (Decentralized Identifier) specification, it provides a decentralized authentication scheme, supports end-to-end encrypted communication, and ensures communication security and data privacy.Meta-protocol layer: Facilitates protocol negotiation between agents, enables automatic network organization, and supports autonomous negotiation and collaboration. It is the key to the evolution of the agent network.Application protocol layer: Based on semantic web specifications, it supports capability descriptions, manages application protocols, and simplifies agent interaction.
Agents discover the existence and capabilities of other agents through a decentralized network. Implementation methods include decentralized service discovery protocols, local centralized service directory nodes, self-organization, or static configuration. Agents authenticate each other's identities through W3C DID to ensure the credibility of both communicating parties. Agents exchange data through JSON-LD and Linked Data technologies to ensure semantic consistency and efficient transmission of data. Agents conduct protocol negotiation through the meta-protocol layer to determine the specific details of communication, such as request format and interface invocation methods. Agents execute tasks according to the negotiation results and interact with data through the application protocol layer.
Main applications of ANP
- Cross-platform knowledge sharing: The ANP knowledge sharing protocol supports knowledge exchange and querying between different knowledge bases and agent systems. It has key features such as semantic query interfaces, knowledge graph synchronization mechanisms, distributed knowledge verification, and permission control and privacy protection.
- Multi-agent task collaboration: The ANP task collaboration protocol supports multiple agents working together to complete complex tasks. It includes functions such as task decomposition and allocation, progress tracking and coordination, intermediate result sharing, and result aggregation and verification.
- Building the agent internet: ANP breaks down digital silos and promotes the internet's return from closed platform ecosystems to a collaboration network centered on open protocols. By providing an open, secure, and efficient collaboration network, it enables agents to open their capabilities and interconnect in a structured way, unleashing the huge potential of collective intelligence.
- AI-oriented data network: ANP proposes a data network architecture designed for AI-native design. Through the Agent Description Protocol (ADP) and the Agent Discovery Protocol, each agent can expose its own service interfaces, capability information, and data resources in a structured and standardized manner. Agents do not need to rely on web scraping or interface simulation; they can directly, efficiently, and in batches access the capabilities and knowledge widely distributed across the internet.
- Distinguishing Human Authorization from Agent Authorization: ANP introduces a dedicated verification method in the DID document,
humanAuthorization, distinguishing low-risk operations from high-risk operations, ensuring that high-risk operations must be explicitly authorized by a human user. - Multi-DID Management Strategy: ANP recommends that users and agents adopt a multi-DID management strategy, enhancing privacy protection through the separation of primary DIDs and sub-DIDs, the principle of least privilege, and regular rotation and revocation.
- Principle of Minimum Information Disclosure: ANP emphasizes following the principle of minimum information disclosure during communication between agents, transmitting only necessary information fields to avoid the leakage of irrelevant data. For example, when completing a request, an agent transmits only data directly related to the request and does not include any additional sensitive information.
Challenges Facing ANP
- Achieving Interconnection and Interoperability: Different agents may be based on different technology stacks and frameworks, and achieving true interoperability requires resolving compatibility issues in underlying communication standards.
- Decentralized Identity Authentication: ANP implements decentralized identity authentication based on the W3C DID standard, meaning that agents can perform identity verification without a central authority. Managing and maintaining a decentralized identity system is a complex technical challenge.
- Mechanisms for Efficient Collaboration: ANP supports automatic organization and negotiation among agents, creating a more efficient collaboration network than the existing internet. Achieving this requires agents to be able to dynamically negotiate task allocation and resource management.
- Data Security: Data transmitted between agents may contain sensitive information, and ANP needs to ensure the security of this data during transmission. This involves the application of encryption technologies and how to achieve end-to-end encryption without sacrificing performance.
- Privacy Protection: ANP needs to protect users' privacy while promoting collaboration among agents. This includes minimizing data collection, anonymizing data, and giving users control over data usage.
- Standardization Process: ANP needs to be compatible with existing web security infrastructure, while also considering interoperability with other agent communication protocols such as MCP, ACP, and A2A.
- Technical Implementation: The implementation of ANP requires agents to support complex network protocols and data processing capabilities. Existing agent systems need to be upgraded or restructured.
- Scalability Issues: As the number of agents increases, ANP needs to support large-scale network expansion. This involves technical issues such as dynamic adjustment of network topology, load balancing, and fault recovery.
- User Acceptance: Users may be accustomed to existing interaction methods and platforms, and ANP needs to provide sufficient incentives for users to accept new agent interaction modes.
The Development Prospects of ANP
As an innovative agent communication protocol, ANP faces multifaceted challenges, involving multiple dimensions such as technical implementation, security and privacy, ecosystem development, standardization processes, technical scalability, and user acceptance. Addressing these challenges requires joint efforts from the technical community, industry partners, and users. As the technology matures and the community grows, ANP is expected to become a key communication standard in the era of the agent internet.