agents-best-practices: A provider-neutral Agent Skill library for designing, auditing, and refactoring agentic harnesses compatible with Codex and Claude Code. It covers the full control plane of an agent runtime: typed tool design, permission checks, context management, memory, and observability. Targeted at developers building production-ready agent systems across any domain or AI provider.; EDDI: EDDI is a production-grade, config-driven multi-agent orchestration middleware built with Java 25 and Quarkus. It coordinates users, AI agents, and business systems through intelligent routing, persistent memory, and API orchestration without writing code. It offers enterprise security, compliance, and observability, supporting multiple LLM providers and standard protocols with one-command Docker deployment.
Generate MVP agent harness blueprints for any business domain (CRM, ops, finance, healthcare)
Building enterprise-grade conversational AI assistants with multi-agent collaboration