KALKI-1.5
KALKI AI — Krishna Artificial Lattice Keystone Intelligence
Next-Generation Enterprise Intelligence Operating System (IOS)
🌟 Executive Summary
KALKI AI (Krishna Artificial Lattice Keystone Intelligence) is a next-generation, unified artificial intelligence ecosystem engineered to operate as a full Intelligence Operating System (IOS). Designed for cloud, desktop, mobile, smartwatch, and edge IoT devices, KALKI AI brings together Large Language Models (LLMs), Vision-Language Models (VLMs), Small Language Models (SLMs), Mixture-of-Experts (MoE) task routing, multi-agent orchestration (via Model Context Protocol and Agent-to-Agent IPC), hybrid RAG search, hierarchical memory, and defensive cybersecurity safeguards.
🏗️ 7-Layer System Architecture Blueprint
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| LAYER 1: USER INTERFACE LAYER |
| Web (Next.js) | Mobile (Flutter) | Desktop (Tauri) | Smartwatch | API|
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| LAYER 6: SECURITY & GOVERNANCE LAYER (Perimeter & In-Line Audit) |
| OAuth2 / MFA | RBAC Control | AES-256 E2EE | AI Safety & Defense |
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| LAYER 2: MULTIMODAL PERCEPTION LAYER |
| Text & PDF Parsing | OCR & Scene VLM | Whisper Audio | Sensor Stream |
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| LAYER 4: AGENT ORCHESTRATION LAYER |
| Planner | Research | Memory | Executor | Validator | Security |
| Standard Protocols: MCP (Model Context Protocol) & A2A Inter-Agent |
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| LAYER 3: REASONING & MODEL LAYER |
| MoE Task Router | LLM Cluster | Edge SLMs (INT4) | LCM Conversational|
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| LAYER 5: KNOWLEDGE & RAG LAYER |
| Dense Vector + BM25 Sparse | Cross-Encoder Re-Ranker | Neo4j KG |
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| LAYER 7: INFRASTRUCTURE LAYER |
| Kubernetes (EKS/GKE) | Docker Compose | Edge Runtime | Prometheus |
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🚀 Key Features & Capabilities
- Ultra-Fast Performance: End-to-end response latency budget targeted under <500ms, with hybrid RAG retrieval <200ms.
- Autonomous Multi-Agent Orchestration: Specialized Planner, Research, Memory, Executor, Validator, and Security agents communicating via MCP and A2A.
- Hierarchical Memory System: Short-term context, Long-term user preferences, Semantic embeddings, Episodic history, and Procedural DAG patterns.
- Hybrid RAG Engine: Reciprocal Rank Fusion (RRF) combining dense vector search and BM25 sparse keyword indexing with Cross-Encoder re-ranking.
- Defensive Cybersecurity: Built-in security audit tools, SAST/DAST compliance reporting, anomaly detection, and strict safety guardrails.
- Edge AI Deployment: Quantized INT4 SLMs capable of running offline on mobile and IoT devices.
📚 Technical Documentation Index
Detailed blueprints and specifications are available in the docs/ directory:
- 📐 System Architecture Blueprint — Comprehensive 7-layer design & latency budget.
- 🗄️ Database & Memory Schema — PostgreSQL relational schema & vector indexes.
- 🌐 API Specification — OpenAPI 3.0 specs for Gateway, Agents, RAG, and Security.
- 🤖 Multi-Agent Protocols — Model Context Protocol (MCP) & Agent-to-Agent (A2A) IPC.
- 🔍 RAG Pipeline Specification — Hybrid retrieval, RRF math, re-ranking, and citation model.
- 🛡️ Security & Governance — RBAC matrix, E2EE, defensive cybersecurity, and HITL.
- 🐳 Deployment & DevOps — Kubernetes manifests, Edge SLM pipeline, Prometheus metrics.
- 📊 Business & Scalability — Infrastructure cost model, 10M user scaling roadmap, risk matrix.
💻 Tech Stack Overview
- Frontend: Next.js 14, React 18, TypeScript, Tailwind CSS, Lucide Icons.
- Backend: Python 3.11+, FastAPI, Pydantic v2, Asyncio, gRPC.
- AI & ML: PyTorch, Hugging Face Transformers, vLLM, ONNX Runtime, llama.cpp.
- Data & Storage: PostgreSQL (with
pgvector), Redis, Qdrant Vector Store, Neo4j Knowledge Graph. - DevOps: Docker, Docker Compose, Kubernetes, Helm, Prometheus, Grafana.
🛠️ Quickstart Guide
Prerequisites
- Docker & Docker Compose
- Python 3.11+
- Node.js 18+
1. Running via Docker Compose
# Clone the repository
git clone https://github.com/KGupta171025/KALKI-1.5.git
cd KALKI-1.5
# Launch full stack (FastAPI Backend, Next.js Frontend, PostgreSQL, Redis, Qdrant)
docker compose up --build
Access services:
- Web UI Dashboard:
http://localhost:3000 - FastAPI OpenAPI Documentation:
http://localhost:8000/docs - Qdrant Vector Dashboard:
http://localhost:6333/dashboard
📜 License & Governance
Developed under responsible AI guidelines. Designed for authorized, ethical enterprise deployment and defensive cybersecurity monitoring.