An interactive educational platform for understanding AI agents
AI_Agent_School is an early-stage TypeScript project in the AI payments / x402 ecosystem, focused on a2a, acp, agent-to-agent, agents. It currently has 7 GitHub stars and 4 forks, and sits alongside related tools like awesome-agent-protocols, LeapRAG, nexus.
A curated list of protocols and standards for AI agents — MCP, A2A, ACP, AG-UI, AP2, x402, and 50+ more, organized by stack layer
LeapRAG is an open-source platform that integrates advanced RAG technology with Google’s A2A protocol, enabling users to build context-aware, data-driven agents. These agents are automatically A2A-compliant and can be discovered and used by any compatible client without extra development.
The AI-to-AI Protocol Layer that catches unreliable agent outputs before they cost you money. Claim-level verification, escrow, and slashing. 224 tests, 12/12 adversarial patterns caught.