A nine-phase Google ADK live-demo: a multi-agent trip planner that teaches one ADK concept per phase, from a single agent and function tool through delegation, state, workflows, tools, multi-model, human-in-the-loop, A2A, and production. Every phase runs on mock data.
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.
Compile a context/ research record into an ARA (Agent-Native Research Artifact) — the terminal write-up package of the De-Anthropocentric Research Engine. No LaTeX, no narrative paper.
Rust-core agentic framework with durable journal, exactly-once replay, Ed25519 A2A identity, and MCP tool server. Bindings for Go, Python, TypeScript, .NET, and Java via C ABI.
Agent-as-a-Tool: An infinite-scale AI orchestration framework solving Tool Space Interference (TSI) via dynamic agent injection, RAG-based Agent Bank, and Zero-Trust execution using Google ADK.