Agent Nexus Protocol (ANP) is a unique way for AI agents to collaborate with each other and develop relationships with each other. This enables them to effectively solve complex problems and tasks.
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Standardized Collaboration Protocol: We've created an interface for AI agents to collaborate with each other, making it possible for different types of agents to work together seamlessly. This shared interface allows agents to exchange information, requests, and results in a structured way that any agent in the network can understand.
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Intelligent Routing: Our system acts like a smart traffic controller, figuring out which agent is best suited for each part of a complex task. When you ask a question, the router analyzes what you need and sends your request to the agent with the right expertise - whether that's researching information, drafting emails, or analyzing data.
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Chain of Thought Sharing: Instead of just sharing final answers, our agents share their thinking process along the way. This transparency means other agents can see not just what conclusion was reached, but how and why - making collaboration much more effective and allowing agents to build on each other's reasoning.
We integrated Lilypad's powerful APIs to implement a major componant - Task Router
- Built a task router that analyzes what users are asking for and sends them to the right specialized agent
- Added web search capabilities so our agents can find up-to-date information when answering questions
- Created a system where different models work together on complex tasks, with each handling what they're best at
Check out our implementation in task-router/route.ts!
Akave's decentralized storage powers our secure agent marketplace:
- Implemented a storage tool that lets agents securely store and retrieve data
- Built an agent marketplace where users can browse, select, and "stake" on different specialized agents
See how we did it in akave-storage.ts!
We used Storacha to enable true agent collaboration:
- Built a system where agents can store their thinking process and share it with other agents
- Created tools for agents to learn from each other's work and build on previous insights
- Implemented transparent tracking of all knowledge-sharing operations
Check out our collaboration system in storacha-tool.ts!
- Clone the repository:
git clone https://github.com/Shubham-Rasal/ANP---Agent-Nexus-Protocol
cd ANP---Agent-Nexus-Protocol
npm install
npm run devThis project is licensed under the MIT License - see the LICENSE file for details.
This project was created during Encode AI Blueprints Hackathon . Our goal was to create a standardized protocol for agent communication that could revolutionize how AI agents interact and collaborate.