Creating an "Internet of Agents" from different organizations to seamlessly communicate and collaborate.
George Polzer
Sr. Product Manager AI/ML | EU & US Go-to-Market / MVP Consultant | Emerging Tech - Agentic AI, Agent Ops Focus??
?? AGNTCY 's ACP is currently a guideline, with implementation tools expected by late March 2025. ACP appears to be more of a technical framework and specification rather than a fully developed software package with pre-built tools for implementation. Contributors include: LangChain , 思科 , LlamaIndex , Galileo?? , Glean
The goal is to create an "Internet of Agents" from different organizations to seamlessly communicate and collaborate.
Implementing it involves following the specification (with the openapi.yaml file available at GitHub ACP Spec https://lnkd.in/d2dtiNgt), designing and coding agent interfaces, and testing for compliance.
?? Since ACP is a guideline at this point, to integrate ACP into an existing AI agent system, an organization would:
??Review their current agent communication methods and identify gaps with ACP standards
??Modify or develop new agent interfaces to support ACP endpoints, ensuring compatibility
??Ensure security measures, like authentication, align with ACP guidelines
??Test the updated system with other agents to ensure seamless interaction
??Monitor for updates to the ACP specification and adjust as needed
??Limitations:
● Complexity: Developing and maintaining a comprehensive protocol and ecosystem is resource-intensive
● Adoption Challenges: Widespread adoption is crucial for standardization, but may face resistance or competition
● Standardization in a Fast-Moving Field: AI's rapid evolution may outpace the protocol's ability to standardize
● Adaptability: Frequent updates may be needed to keep pace with AI innovations, potentially disrupting existing implementations
● Dependency on Contributors: Success relies on continued involvement from core maintainers and new members
● Security Concerns: Ensuring the decentralized identity system is secure and trustworthy is critical, especially with potential vulnerabilities in decentralized technologies
??DEMO: ACP implementation by modifying two simple AI agents:
- LangChain: A simple AI assistant that generates responses to text queries
- LlamaIndex: A knowledge retrieval agent that fetches information from a document database
?? DM me for above ACP implementation code. ??
- Setting Up Servers with ACP Endpoints
- LangChain Agent Modification
- Implement ACP, wrap it in a FastAPI server
- LlamaIndex Agent Modification
- Wrap it in a similar FastAPI server
- Enabling Communication Between Agents
- Add ACP Authentication - Define authentication mechanisms
- Expose ACP Endpoints - Each agent must provide an API for invocation, configuration, and output retrieval
- Define Agent Manifests - Each agent describes its capabilities and interfaces
- Ensure Schema Compatibility - Agents exchange structured data in an agreed format
- Implement Asynchronous Handling (Optional) - If the agents need to interact in real-time
?? Source: https://agntcy.org
?? Join the AI Agent Ops Linkedin Group: https://lnkd.in/dnacWfSa