pqpo / pragma
Build portable agent teams across models and harnesses, with shared memory, skills, tools, and workflows — then bring them into Codex, Claude Code, or any AI system you build. 构建跨 harness 和模型的可移植 Agent Team,共享记忆、技能、工具和工作流,一次构建,接入 Codex、Claude Code 或任何 AI 系统。
View on GitHubAI Architecture Analysis
This repository is indexed by RepoMind. By analyzing pqpo/pragma in our AI interface, you can instantly generate complete architecture diagrams, visualize control flows, and perform automated security audits across the entire codebase.
Our Agentic Context Augmented Generation (Agentic CAG) engine loads full source files into context on-demand, avoiding the fragmentation of traditional RAG systems. Ask questions about the architecture, dependencies, or specific features to see it in action.