Copilot instructions for thedotmack/claude-mem, a project described as: Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes…
Claude Code instructions for thedotmack/claude-mem, covering claude-mem: ai development instructions, build, file locations, requirements and documentation.
Copilot instructions for infiniflow/ragflow, covering project instructions for copilot, how to run (minimum), project layout (what matters) and conventions.
Claude Code instructions for infiniflow/ragflow, a project described as: RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs.
AGENTS.md instructions for lobehub/lobehub, covering lobehub development guidelines, tech stack, agent skills, project structure and spa routes and features.
Claude Code instructions for lobehub/lobehub, a project described as: 🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team.
Copilot instructions for bytedance/deer-flow, covering copilot onboarding instructions for deerflow, 1) repository summary, 2) runtime and toolchain requirements, 3) build/test/lint/run - verified command sequences and a. bootstrap and install.
Claude Code instructions for bytedance/deer-flow: The repo's agent guidance lives in AGENTS.md so it is shared across coding agents (Claude Code, Codex, and others). Claude Code imports it below.
AGENTS.md instructions for code-yeongyu/oh-my-openagent, covering oh-my-opencode — opencode plugin, default workflow — how to take on any task, structure, initialization flow and 14 opencode hook handlers.
Claude Code instructions for code-yeongyu/oh-my-openagent, a project described as: omo/lazycodex: The coding agent for tokenmaxxers;the one and only agent harness for complex codebases. For your Codex, for your OpenCode.
Claude Code instructions for mem0ai/mem0, a project described as: The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.