Architecting production-grade autonomous multi-agent systems, bi-temporal cognitive memory graphs,
distributed swarm orchestration, and Arabic-native LLM intelligence.
I am a Systems Architect and Software Engineer dedicated to solving the hard reliability, memory, and orchestration problems in autonomous AI agent systems.
- 🧠 Architect of Kazma: Built the full-stack Kazma Multi-Agent Framework (~315K LOC across Python, JavaScript, and HTML/CSS, with 5,608 automated tests and 2,430+ commits).
- 🧬 Pure V2 Cognitive Memory: Designed a single-source-of-truth memory engine featuring bi-temporal belief tracking (
valid_from/valid_until), Local Ego-Graph Personalized PageRank (PPR), dense/sparse episode fusion (FTS5 +sqlite-vec), and 24-hour automated consolidation. - 🐝 Dynamic Swarm Autoscaler: Engineered zero-configuration multi-agent swarms with 6 dispatch patterns (
fan-out,pipeline,consult,broadcast,conditional,dispatch) and best-model-per-task routing for coding, reasoning, and vision. - 🛡️ Non-Stop Execution & Self-Healing: Created the
supervised_invoke()watchdog execution engine for heartbeat tracking, stall detection, automatic checkpoint state rollback, reflection injection ([KAZMA RECOVERY]), and multi-provider failover chains. - 🔒 Triple-Wired HITL Safety: Engineered fail-closed Human-In-The-Loop safety gates across graph interrupts, multi-platform swarm buses, and pipeline checkpoints, with prompt-fenced untrusted boundaries (
<kazma:data untrusted>). - 🌐 Arabic-Native AI: Spearheaded custom dialect formalization, Arabic tokenization, and the Majlis cultural protocol (Kuwaiti & Gulf dialects) for enterprise LLMs.
Production-Grade Autonomous Multi-Agent Framework with Deep Cognitive Memory & Swarm Intelligence
🔗 Website: kazma.ai · Repository: github.com/Mubder/kazma
| Core Dimension | Architecture & Implementation |
|---|---|
| Codebase Volume | ~315,000 Total Lines (~252K Python code + 28K JS across 7 packages) |
| Test Coverage | 5,608 Automated Tests Across 394 Test Suites |
| Core Engine | LangGraph Supervisor + Non-Stop Watchdog + Swarm Autoscaler + V2 Cognitive Memory |
| Interfaces | Observability Control Plane, Web IDE, Textual TUI, CLI, Telegram, Discord, Slack |
| Storage & Graph | SQLite WAL + PostgreSQL + Neo4j + ChromaDB + sqlite-vec |
- IndexArc — Portable personal vault for secrets, API keys, and private knowledge with local (Ollama) and cloud AI backends.
- ShipX — Autonomous AI logistics and delivery platform operating via WhatsApp with natural Khaleeji voice and text processing.
- KCA — Institutional Intelligence System designed across five core tiers: Genesis, OS, Guardian, Network, and Evolution.
| Domain | Technologies & Infrastructure |
|---|---|
| Languages & Runtimes | Python 3.11+ • TypeScript • JavaScript (ES6+) • SQL • PowerShell • Bash |
| AI & Agentic Systems | LangGraph • OpenAI API • Anthropic Claude • Google Gemini • DeepSeek • MCP |
| Memory & Graph Engines | SQLite-vec • FTS5 • Bi-Temporal Knowledge Graphs • PPR Graphs • Neo4j • ChromaDB |
| Backend & Infrastructure | FastAPI • Uvicorn • AsyncIO • PostgreSQL • SQLite WAL • Docker • Cloudflare |
| Document Intelligence | reportlab • python-docx • pdfplumber • pypdf • python-pptx • Tesseract OCR • WeasyPrint |
| Interfaces & Tooling | Vanilla CSS (Modern Dark) • Alpine.js • Textual TUI • HTML5 Canvas |
- 🌐 Website: kazma.ai
- 🐙 GitHub Profile: @Mubder
- 📦 Kazma Framework: Mubder/kazma
- 📧 Inquiries & Collaborations: admin@kazma.ai
Designed & engineered by Mubder Alfaris — Built in Kuwait 🇰🇼