Agentic Apps Internals
AI Agents internals - system prompts, tool architectures, and implementation patterns
Install
git clone https://github.com/agenticloops-ai/agentic-apps-internalsInstall command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →🔬 Agentic Apps Internals
How AI coding agents actually work under the hood
System prompts, tool architectures, session traces, and implementation patterns — captured from real agent sessions.
by AgenticLoops.ai - for Engineers, from Engineers
🔍 What's Inside
This repository contains captured API traffic, decoded system prompts, complete tool schemas, and turn-by-turn session traces from real AI coding agent sessions. Everything here comes from actual intercepted data — no guesswork, no assumptions.
For each agent you'll find:
- System Prompts — the exact instructions that shape agent behavior, extracted from live API traffic
- Tool Catalogs — complete tool definitions with full JSON schemas, descriptions, and categories
- Session Traces — turn-by-turn breakdowns showing every LLM call, tool use, and token count
- Prompt Engineering Analysis — how each agent structures its prompts, what sections they include, and how prompts change between modes
Interesting things you'll discover:
📖 The exact system prompt that tells Claude Code to "avoid over-engineering" — and the detailed rules that follow it
⚖️ 5 tools vs 65 tools — same task, radically different approaches — Codex CLI's minimalism vs Copilot's comprehensive toolset
🧠 Codex CLI's explicit engineering values: "Clarity, Pragmatism, Rigor" — personality encoded directly in the system prompt
Useful for:
- AI Engineers building coding assistants or agent systems
- Researchers studying LLM agent architectures and prompt design
- Developers learning advanced prompt engineering from production systems
- Anyone curious about what happens behind
/ask,/agent, or/plan
🗺️ Start Here
New to the repo? Follow this reading path:
- Pick an agent — Choose Claude Code, Codex CLI, Copilot, or OpenCode and read its README
- System Prompt — Read the agent's
system-prompt.mdto see the exact instructions it receives - Prompt Engineering — Read
PROMPT-ENGINEERING.mdfor how the prompt is structured and how it changes between modes - Tool Catalog — Browse
TOOL-USE.mdfor the full tool definitions with JSON schemas - Session Traces — Check
session.mdfor turn-by-turn breakdowns of real agent sessions
🤖 Agents Analyzed
Similar plugs
CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies
Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
Documented system prompts from Anthropic - Claude Fable 5.1, Opus 5.5, Claude Design, Claude Code. OpenAI - ChatGPT GPT-6-Astra, Codex. Google - Gemini 3.8 Flash, 3.1 Pro,…
Wrap Antigravity, ChatGPT Codex, Claude Code, Grok Build, Muse Code, Devin as an OpenAI/Gemini/Claude/Codex compatible API service, allowing you to enjoy the free Gemini…