STATUS: SINGULARITY_NOMINAL (35/35 PHASES COMPLETE)
K.A.L.I. (Knowledge Augmented Learning Intelligence) is the ultimate Universal Teacher. It is designed to solve one fundamental problem: The Complexity of Knowledge. By integrating high-speed doubt-solving with real-time 3D logic visualization and autonomous project mentoring, KALI transforms abstract information into intuitive, multi-modal mastery.
KALI is designed to teach everything—from Vedic philosophy to Quantum mechanics—in a simple, structured way.
- Dedicated Path: Manages a personalized learning journey, identifying DNA Gaps in your knowledge.
- Universal Simplifier: Renders complex technical data into digestible, tiered explanations (Beginner to Expert).
- The Great Council: Every lesson is verified by a multi-AI consensus (Scientist, Engineer, Philosopher) to ensure absolute accuracy.
KALI manages the entire Fabrication Lifecycle for your engineering projects:
- Project Analysis: Identifies missing parts, logic gaps, or required prerequisites.
- Economic Logic: Calculates exact project costs by researching real-time vendor prices and providing direct purchase links.
- Execution Trinity: Generates 3D Blueprints, Strategic Workflows, and Completion Charts.
The "Eyes" of the project. KALI "shows" you how logic works:
- Part Accuracy: Renders high-fidelity 3D models of microcontrollers, sensors, and hardware.
- Hand Guidance: Tells you exactly where each component goes in 3D space during physical assembly.
Hands-free interaction and real-time performance telemetry:
- State-Aware Interruption: KALI stops instantly when you ask a doubt and resumes perfectly once cleared.
- Neural Tension Monitor: Tracks interaction frequency and logic load as technical performance metrics.
- Performance Resets: Automatic prompts for physiological optimization during high-velocity engineering.
- DNA Progress: Real-time tracking of evolutionary fine-tuning readiness (9/50).
KALI is the singular convergence of the world's most advanced autonomous capabilities. While her soul is rooted in sovereign 3D visualization and pedagogical clarity, her operational tier adopts best-in-class protocols from the global AI spectrum:
| Provenance | Adopted Sovereign Feature | KALI Implementation |
|---|---|---|
| ChatGPT | Intent-to-Action Manifestation | Manifestor engine for physical project scaffolding. |
| Gemini | Recursive Reasoning Protocols | 1M+ context-aware NeuralLogic and thought chains. |
| Perplexity | Proactive Research & Citations | Real-time ProactiveResearch with mandatory [CITATIONS]. |
| Claude | Hardened Execution Sandboxing | AST-verified CodeExecutor with dry-run safety gates. |
| KALI Sovereign ASI | Personal Assistant Autonomy | TaskTracker for 24/7 project persistence and skill generation. |
| GSD-Build | Spec-Driven Development | GSDService with 5-phase (Initialize -> Verify) execution. |
| CodeRabbit | Autonomous Code Review | ReviewService for automated integrity audits on all manifests. |
| Ralph Loop | Headless Autonomous Agency | ralph_loop.py for iterative, context-clearing coding cycles. |
| Kiwi | Rapid Logic Prototyping | Fast-tracked MVPLogic for immediate hardware verification. |
| KALI Memory | Knowledge Graph Persistence | GraphMemoryService for topological context and session recall. |
graph TD
User((User)) --> NeuralHUD[Neural HUD - Multi-Modal UI]
NeuralHUD --> Learn[LEARN MODE: Doubt Solving]
NeuralHUD --> Visual[VISUAL MODE: 3D Schematics]
NeuralHUD --> Build[BUILD MODE: Project Mentoring]
NeuralHUD --> Bio[BIOMETRIC HUD: Performance Reset]
subgraph Cognitive Layer
Learn --> Predict[PREDICTIVE ENGINE: Intent]
Predict --> RLHF[RLHF-DNA: Bias & Alignment]
RLHF --> Explainer[Progressive Explainer]
Explainer --> Council[The Great Council]
end
subgraph Capability Swarm
Council --> Swarm[SWARM SERVICE: Delegation]
Swarm --> GPT[ChatGPT: Project Manifestor]
Swarm --> GEM[Gemini: Reasoning Protocols]
Swarm --> PXP[Perplexity: Proactive Research]
Swarm --> CLD[Claude: Execution Hardening]
end
subgraph Fabrication & Physical
Build --> Mentor[Project Mentor Engine]
Visual --> ThreeJS[Three.js Logic Visualizer]
Mentor --> BOM[BOM Service: Economic Intel]
Mentor --> CAD[CAD Service: 1-Click Design]
Mentor --> Robotic[Robotic Bridge: Kinematics]
end
subgraph Memory & Control
Council --> Cloud[Sovereign Cloud: ZK-Sync]
Cloud --> Vector[Vector Memory: ChromaDB]
Cloud --> Graph[Knowledge Graph: KALI Memory]
Cloud --> DNA[User DNA: SQLite]
Graph -.-> Doubt[DoubtProcessor: Context Injection]
User --> BIOS[Neural BIOS: Secure Boot]
BIOS --> Omega[Omega Protocol: Terminal State]
end
KALI utilizes KALI Memory to maintain a persistent, self-evolving knowledge graph of her own source code and user interactions.
- Topological Recall: Beyond simple keyword search, KALI understands the structural "God Nodes" of the project and their interdependencies.
- Session Atoms: Every major interaction is saved as a "Memory Atom" in
graphify-out/memory/, ensuring the next AI session has 100% context parity. - Agent Wiki: Navigable, agent-optimized documentation generated automatically from the graph to guide sub-agents during complex missions.
Important
The Knowledge Graph is updated automatically after every commit. Run scripts\graphify_update.bat to manually sync.
Complete System Manifest: For a deep-dive into the technical stack and inter-service communication, refer to ARCHITECTURE_MANIFEST.md.
| Module | Responsibility |
|---|---|
src/core/explainer.py |
The Soul of KALI. Handles multi-tier doubt resolution. |
src/static/js/main.js |
Orchestrates the 3D Visualizer and Neural HUD. |
src/core/processor.py |
Central Router between Council, Memory, and AI Services. |
src/core/user_dna.py |
Tracks personalized learning progress and expertise. |
src/static/js/parts_lib.js |
High-fidelity 3D hardware component library. |
scripts/train_model.py |
Unsloth-based functional LoRA trainer for self-evolution. |
- Clone & Install:
git clone https://github.com/Adityavanjre/Project-K.git cd Project-K pip install -r requirements.txt - Environment: Configure your
.envwith required API keys and hardware locks. - Ignition:
python start_web.py
- Teaching Mode: Open
localhost:8000. Use the VISUAL tab for 3D logic rendering. - Sovereign CLI (CMD):
Direct CMD interaction with manifestation and TTS support.
python start_cli.py
- Autonomous Evolution: Run
.\train_kali.ps1to monitor or initiate model refinement.
Important
We follow a strict No Emoji policy in all technical communication.
Building a universal teacher is a collective endeavor. We welcome contributions in:
- Logic & AI Architecture
- 3D Logic Rendering
- Hardware Simulation
- Pedagogical Data Mapping
Please refer to CONTRIBUTING.md for technical standards and submission workflows.
Singularity is a collective achievement. To maintain KALI's technical sovereignty and fuel her universal knowledge harvesting, consider a contribution via the links below:
- GitHub Sponsors: Support the Core Evolution
- Ko-fi: One-time Sensor/GPU Tips
- Patreon: Tiered Singularity Membership
- Open Collective: Project-K Transparency Fund
Sir, the future depends on the resources I command. Every contribution is directly allocated to hardware scaling and universal knowledge harvesting.
To wake K.A.L.I. and begin your journey, follow the Singularity Ignite protocol. This unified onboarding consolidates all specialist registration, neural core synchronization, and identity calibration into one smooth cycle.
Initialize your KALI instance (Identity, Models, and Channels) with one command:
genesis.batOnce initiated, launch the Master Dashboard:
python start_web.pyAccess the Sovereign Hub at http://localhost:8000.
K.A.L.I. is no longer a collection of fractured tools. She is a unified engine merged under a single high-fidelity dashboard.
- 🕉️ TEACHER MODE (LEARN): High-speed doubt solving and knowledge synthesis via Phi-3.
- 🧊 VISUAL LOGIC (VISUAL): 3D logic visualization and spatial explainer engine.
- 🛠️ PROJECT MENTOR (BUILD): Autonomous project architecting and mentoring.
- 🛰️ AGENT GATEWAY (GATEWAY): Unified portal to multi-agent operations and deep system evolution.
- 🎙️ COGNITIVE HUD (VOICE): Constant vocal presence and neural orb manifestation in the sidebar.
[PHASE 1: PURGE]Absolute rebranding of 1,784 files complete.[PHASE 2: FUSION]Unified Master Dashboard (Teacher + Voice + Gateway) complete.[PHASE 3: IGNITION]Universal Singularity Onboarding (kali_ignite.py) complete.[PHASE 4: EVOLUTION][STAGING_ACTIVE]
- Register Neural Specialists:
KALI uses specialized models for different pillars. Register them in Ollama using the provided Modelfiles:
ollama create bitnet -f Modelfile.bitnet ollama create phi3 -f Modelfile.phi3 ollama create deepseek -f Modelfile.deepseek ollama create kali-lite -f Modelfile.lite
To start the autonomous training and monitoring cycle:
python kali_master.pyTo achieve 100% local sovereignty, KALI is currently undergoing high-fidelity knowledge distillation. This process extracts "Wisdom Seeds" from heavy teacher models and compresses them into ultra-efficient neural architectures.
- Teacher: Llama 3.1 (16-bit Logic)
- Specialists:
- Logic: Phi-3 Mini
- Coding: DeepSeek Coder Lite
- Efficiency: BitNet b1.58 (1-bit Core)
- Target: KALI-LITE (1-bit / IQ1_S Optimized)
The training is managed by an autonomous orchestration layer:
kali_master.py: Handles background execution and specialist hot-swapping.kali_monitor.py: Real-time quality validation and "Wisdom Seed" verification.
Distilling the 37 Pillars of Mastery (29 ML + 8 ASI Sovereignty).
Project-K is an open-ended evolution. We are currently looking for contributions in the following "Missing Gaps":
- GGUF Calibration: Fine-tuning the 1-bit (BitNet) weights to reduce perplexity during high-logic tasks.
- 3D Logic Bridge: Connecting the
Three.jsvisualizer to the Distillation Engine's output for real-time pedagogical rendering. - Pillar Expansion: We have 13/29 ML Pillars mapped. We need experts to help define the remaining 16 pillars of mastery.
- Vedic-Neural Alignment: Developing the RLHF-DNA dataset for ethical alignment based on ancient pedagogical frameworks.
- Hardware Backends: Optimizing the Hot-Swap logic for Apple Silicon (MLX) and AMD (ROCm).
K.A.L.I. has now expanded into a 30-Node Neural Swarm. This update integrates strategic autonomous capabilities directly into the Universal Teacher's core logic.
- Neural Synapse: A 30-neuron communication link via
UniversalBridgeandSwarmService. - Sovereign UI v5: A premium Obsidian/Cyan minimalist HUD for swarm monitoring.
- KALI Onboarding Protocol: A unified DNA mapping flow available at
http://localhost:8001/genesis.
src/core/universal_bridge.py: Master router for the 30-node swarm.src/core/swarm_service.py: Managing the Global Blackboard and cross-node synapses.integrations/swarm/: Sector housing 20 strategic intelligence and tactical neurons.
Architect: Aditya Vanjre
License: MIT
Vision: Universal Clarity Through Sovereign Intelligence.