Scaffolding skill + always-on conventions (CLAUDE.md/AGENTS.md) for Quarkus + LangChain4j agentic AI apps: AI services, multi-agent workflows, and RAG. Installable in Claude Code, Codex, Copilot, Cursor, and any Agent Skills-compatible agent.
Master Agentic AI with Google ADK: 100+ runnable Python agents for the Agent Development Kit - tools, MCP, A2A, multi-agent workflows, sessions and memory, RAG, Live API voice, adk eval, tracing and Cloud Run deployment
Evidence-first multi-agent debate skill: get a second opinion by pitting Codex × Claude Code (or GLM/DeepSeek/Qwen) to independently review, red-team & judge high-stakes code and architecture decisions.
Source
GitHub
Language
Python
Last activity
Oct 9, 2026
Stars25Measured · Oct 19, 2026
Momentum07 days · Measured · -3.85% relative change
Zero-LLM agent memory for Claude Code and AI agents: local-first BM25, dense-vector, and reciprocal-rank-fusion retrieval. Returns original passages verbatim by default. Available on PyPI as fidelis-memory. Apache-2.0.