Claude Code instructions for agent-of-empires/agent-of-empires, a project described as: Manage multiple Claude Code, OpenCode agents from either TUI or Web for easy access on mobile. Also supports Mistral Vibe, Codex CLI, Gemini CLI, Pi.dev, Copilot CLI, Factory Droid Coding.
Claude Code instructions for jgravelle/jcodemunch-mcp, covering jcodemunch-mcp — project brief, current state, key files, cli subcommands and architecture notes.
Claude Code instructions for Nano-Collective/nanocoder, covering claude.md, development commands, build and run, testing (run before committing) and individual test commands.
AGENTS.md instructions for AgentsMesh/AgentsMesh: Read CLAUDE.md completely before changing this repository. It is the shared, detailed source for architecture, build, test, and development-environment rules; this file stays short so Codex does not truncate those instructions.
BitFun combines a high-performance agent runtime written in Rust with a polished desktop application. It pairs the depth of a Code Agent with open, general-purpose capabilities for work beyond software development.
Claude Code instructions for timescale/pg-aiguide, covering tiger docs mcp server - development guidelines, build, test & run commands and code style guidelines.
Claude Code instructions for open-mercato/open-mercato, a project described as: The AI-Engineering Foundation Framework for CRM/ERP and commerce: open-source TypeScript, with multi-tenancy, RBAC, events and domain modules already decided as conventions and specs, so Cursor, Claude Code and Codex build features instead…
AGENTS.md instructions for m0n0x41d/haft, covering haft — project agents.md, haft architecture notes (maintainer-only), haft project discipline, current question first and strict distinctions.
Claude Code instructions for m0n0x41d/haft, covering haft — project claude.md, haft architecture notes (maintainer-only), haft project discipline, current question first and strict distinctions.
Project instructions for NoPUA, an open-source project about reducing fear-driven behavior in AI agents. They define what to read first, how to handle evidence, and how to describe the project publicly.