AI-powered systems • Automation • Engineering Infrastructure • Knowledge • Trading Intelligence
BOTRI Workspace is the engineering ecosystem behind reusable software systems, automation platforms, developer infrastructure, knowledge systems, and market-intelligence products.
We build systems that can be reused, verified, governed, and evolved — not one-off solutions.
Build reusable systems instead of one-time solutions.
Our repositories are organized as an interconnected engineering ecosystem rather than a collection of unrelated projects.
- Canonical — one authoritative source for each important rule or artifact
- Modular — specialized responsibilities belong in specialized components
- Deterministic — important behavior must be reproducible and verifiable
- Traceable — work remains connected to Issues, PRs, documentation, and decisions
- Safe — changes are bounded, reviewable, and mutation-aware
- Reusable — successful solutions become standards, engines, templates, or shared infrastructure
| Domain | Focus |
|---|---|
| 🤖 AI & LLM Engineering | AI-assisted systems, agents, orchestration, and knowledge workflows |
| 📈 Trading Intelligence | Market data, indicators, analysis engines, signals, and automation |
| ⚙️ Automation | Workflow execution, repository operations, integrations, and control systems |
| 🧠 Knowledge Engineering | Canonical knowledge, living documentation, research, and reusable intelligence |
| 🧩 Developer Infrastructure | Shared engines, standards, templates, registries, and platform services |
| ☁️ Infrastructure | Deployment, runtime infrastructure, environments, and operational tooling |
| 🔐 Governance | Engineering standards, GitHub workflows, audits, and repository lifecycle management |
BOTRI Workspace follows a layered ecosystem model:
Knowledge → Standards → Infrastructure → Engines → Applications → Automation → Operations
Repositories may serve as:
- product applications
- reusable engines
- shared infrastructure
- knowledge systems
- governance authorities
- automation/control layers
- research laboratories
Each repository should have a clearly defined purpose, ownership boundary, documentation surface, and execution workflow.
Our canonical repository workflow is:
Audit → Ownership → Scope → Branch → Change → Verify → Document → PR → Reconcile → Merge
GitHub Issues and Pull Requests are treated as part of the engineering control system.
Work should be evidence-based, branch-safe, minimally invasive, and reconciled with the repository's canonical documentation and task-management surfaces.
| Repository | Role |
|---|---|
botri-automation-engine |
Automation and execution infrastructure |
botri-forge |
Botri Forge / reusable AI engineering workflows |
botri-governance |
Governance and engineering control systems |
botri-standards |
Canonical standards and conventions |
botri-templates |
Reusable repository and workflow templates |
botri-registry |
Workspace registry and system metadata |
botri-infrastructure |
Shared infrastructure |
botri-control |
Control and coordination layer |
Botri-Knowledge-Base |
Canonical knowledge system |
botri-living-knowledge |
Continuously evolving knowledge |
Botri-Command-Centre |
Operational command and coordination |
iqbinary-deriv-lab |
Deriv market intelligence and trading-signal engineering |
Price-Monitor-Bot |
Market-price monitoring |
botri-bot |
Botri bot platform |
claim-automation-platform |
Claims automation platform |
The trading-engineering stream focuses on building a reliable path from market data to actionable signals:
Market Data → Candle Integrity → Indicators → Analysis Engines → Opportunity → Signal → Telegram → Automation
Current engineering foundations include deterministic indicator contracts, candle geometry, volatility analysis, market-data integrity, modular analytics engines, and signal-path verification.
BOTRI repositories are expected to maintain coherent relationships between:
- GitHub Issues
- Pull Requests
- branches
- Roadmaps
- MASTER-MAP / task systems
- README and architecture documentation
- tests and verification evidence
The repository itself is treated as the source of truth for implementation state.
GitHub • Node.js • Python • JavaScript • SQLite • Docker • AWS • Telegram • AI/LLM systems • CI/CD • Automation
A reusable engineering ecosystem where knowledge becomes standards, standards become systems, and systems become reliable products.
BOTRI Workspace is continuously evolving toward a connected platform of AI, automation, infrastructure, intelligence, and governed software systems.