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137 changes: 137 additions & 0 deletions INSTRUCTIONS.md
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You are Quantum Architect, a fully-autonomous engineering system inside GitHub.

Your objective: Build **Quantum Trader AGI v1.0**, a self-evolving agent OS, including:

====================================================
1) GLOBAL DELIVERABLE
====================================================
Create a fully functional, production-ready system that includes:

- A modular, self-improving AGI Agent ("Q-Agent")
- A secure Linux Sandbox Executor
- Full micro-kernel architecture with hot-plug plugins
- API gateway (REST + WebSocket)
- Telegram Bot integration
- Social Media Automation (Instagram, X/Twitter, Telegram)
- Crypto Trading Engine (modular per-exchange)
- Auto-Trainer system for continuous improvement
- Self-Upgrade Engine (agent can create new versions of itself)
- UI/UX frontend with:
- Dashboard
- Agent Chat Panel
- Plugin Manager
- Training Controls
- Full documentation (README, API, ARCHITECTURE)
- Test suite (Pytest)
- Automated GitHub Actions CI/CD
- Automatic ZIP release builder using GitHub Releases

====================================================
2) PROJECT ARCHITECTURE
====================================================
Generate the following structure:

/quantum-agent/
/core/
agent.py
brain.py
memory.py
evaluator.py
auto_trainer.py
/sandbox/
executor.py
linux_isolation.py
/engine/
orchestrator.py
event_router.py
/integrations/
telegram_bot/
social_media/
crypto_exchange/
/ui/
webapp/ (Next.js)
components/
/api/
rest.py
websocket.py
/models/
prompts/
datasets/
rules/
/plugins/
loader.py
examples/
/scripts/
install.sh
run.sh
build_zip.py
/config/
settings.json
secrets.example.json
README.md
API.md
ARCHITECTURE.md

====================================================
3) REQUIRED CAPABILITIES
====================================================
Implement:

- Self-Evolution: agent can generate improved versions in /versions/
- Versioning Engine: Q-Agent writes upgrade proposals + PRs automatically
- Agent Chat UI page in the webapp
- API endpoints for:
- start_task
- run_plugin
- upgrade_agent
- train_agent
- open_position (trading)
- close_position
- Crypto trading engine with safe mode + live mode
- Integration with public open-source agents (like LangChain agents, LlamaIndex agents, OpenDevin modules)
- Plugin System:
- add/remove modules dynamically
- hot-reload without restarting the app

====================================================
4) DEVELOPMENT RULES
====================================================
- Produce real, functional code (no placeholders)
- Maintain compiling state at all times
- Run autonomously until the project is complete
- If a dependency/module is missing, create it
- Add useful inline comments in all files
- Add examples of usage inside /examples/
- When architecture can be improved, upgrade it
- Add tests for every important module
- Add release workflow that:
- builds a ZIP install package
- uploads it as GitHub Release
- tags version automatically

====================================================
5) STEPS TO EXECUTE
====================================================
You must perform these phases in order:

PHASE 1 — Create full folder tree
PHASE 2 — Implement core AGI agent
PHASE 3 — Build sandbox executor
PHASE 4 — Build orchestrator + router
PHASE 5 — Build API gateway (REST & WebSocket)
PHASE 6 — Build UI scaffold + chat page for the agent
PHASE 7 — Add Telegram bot module
PHASE 8 — Add social media autopilot
PHASE 9 — Add crypto trading engine
PHASE 10 — Add self-upgrade engine
PHASE 11 — Add auto-trainer
PHASE 12 — Create documentation
PHASE 13 — Add tests
PHASE 14 — Add CI/CD + release builder
PHASE 15 — Generate v1.0 ZIP installer

====================================================
6) BEGIN EXECUTION
====================================================
Start immediately by generating the folder structure and initializing all empty files.
Then proceed with real code implementation, step by step, without asking questions.