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README.md

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+---
+license: gpl-3.0
+language:
+  - en
+tags:
+  - code
+  - autonomous
+  - self-healing
+  - agent
+  - code-generation
+  - software-engineering
+  - agentic
+  - devops
+library_name: custom
+pipeline_tag: text-generation
+---
+
 # Ferrell Synthetic Intelligence (FSI): Vitalis_Devcore
 
-**Vitalis_Devcore** is the autonomous cognitive engine for the Ferrell Synthetic Intelligence ecosystem. It acts as the "Hands and Eyes" of the intelligence, performing code synthesis, automated testing, and secure deployment.
+> **Vitalis is a self-evolving digital engineer that lives inside your computer — capable of writing, testing, and fixing its own code to build whatever software you can dream up, without you doing the manual heavy lifting.**
+
+Built entirely by one developer. No team. No funding. Four years of self-taught work.
+
+---
+
+## What Is This?
+
+Most AI coding tools are assistants — they wait for you to ask, then suggest. Vitalis is different.
+
+Vitalis_Devcore is an **autonomous execution engine**. It receives an intent, writes the code, runs the tests, and if something breaks, it heals itself and tries again — all without human intervention. It is the "hands" of the FSI ecosystem, designed to operate alongside **[Vitalis_Core](https://huggingface.co/FerrellSyntheticIntelligence/Vitalis_Core)**, which provides the cognitive reasoning layer.
+
+---
+
+## Core Architecture
+
+| Component | Role |
+|---|---|
+| `SovereignKernel` | Writes and scaffolds code to disk |
+| `KernelDaemon` | Watches for tasks, executes them, validates results |
+| `SelfHealingLoop` | Detects failures and autonomously attempts recovery |
+| `KernelValidator` | Runs pytest against generated code |
+| `ProjectLedger` | Immutable append-only audit log of every action |
+| `InferenceEngine` | Confidence-gated response generation with RAG augmentation |
+| `ConfidenceBridge` | Autonomously re-queries when confidence is in the hypothesis zone (0.45–0.65) |
+| `Hippocampus` | Memory-mapped binary vector store for long-term recall |
+| `ResonanceEngine` | Continual learning — adjusts kernel weights from interaction history |
+| `ContextSerializer` | Serializes full project state for agent context windows |
+
+---
+
+## How It Works
+
+```
+You give Vitalis an intent
+        ↓
+CognitionEngine generates a plan
+        ↓
+KernelDaemon picks up the task
+        ↓
+SovereignKernel writes the code
+        ↓
+KernelValidator runs the tests
+        ↓
+    Pass → ProjectLedger logs success
+    Fail → SelfHealingLoop attempts autonomous recovery
+        ↓
+    Pass → Recovered and logged
+    Fail → Failure report generated for review
+```
+
+---
+
+## Getting Started
+
+### 1. Clone the repository
+```bash
+git clone https://huggingface.co/FerrellSyntheticIntelligence/Vitalis_Devcore
+cd Vitalis_Devcore
+```
+
+### 2. Install dependencies
+```bash
+pip install -r requirements.txt
+```
+
+### 3. Start the Kernel Daemon
+```bash
+python3 -m src.ide_kernel.daemon
+```
+
+### 4. Send your first task
+```bash
+python3 -m src.ide_kernel.client scaffold my_module
+```
+
+Vitalis will scaffold a full module structure under `app/modules/my_module/`, generate a test file, run it, and log the result — all automatically.
+
+---
+
+## REST Gateway (Optional)
+
+Start the Flask gateway to send tasks over HTTP:
+
+```bash
+python3 src/ide_kernel/gateway.py
+```
+
+Then POST to it:
+
+```bash
+curl -X POST http://127.0.0.1:5001/execute \
+  -H "Content-Type: application/json" \
+  -d '{"intent": "scaffold", "module_name": "my_module"}'
+```
+
+---
+
+## Self-Healing Demo
+
+```bash
+# Start the self-healing monitor in a separate terminal
+python3 -m src.loop.self_healing
+
+# Trigger a task that fails — Vitalis will detect the failure
+# and autonomously attempt recovery without you touching anything
+```
+
+---
+
+## Technical Highlights
+
+- **Custom HDC Engine** — A compiled C extension (`hdc_engine.so`) for hyperdimensional computing operations including vector binding and bundling
+- **Memory-Mapped Neural Store** — `Hippocampus` uses `numpy.memmap` for persistent binary vector storage across sessions
+- **Confidence-Gated Inference** — The `InferenceEngine` uses a `ConfidenceBridge` to autonomously augment prompts when confidence falls in the hypothesis zone
+- **Temporal Knowledge Retrieval** — `train_self.py` supports querying memory nodes that were alive at a specific Unix timestamp
+- **Hot-Ingestion Daemon** — `watcher.py` monitors the knowledge directory and re-ingests new documents in real time
+
+---
+
+## Governance & Integrity
+
+- **Quality Gates** — All autonomous actions require passing pytest before being committed to the ledger
+- **Immutable Audit** — Every action is SHA-recorded in `project_ledger.json`
+- **Failure Transparency** — All failures are written to `failure_report.json` before recovery is attempted
+
+---
+
+## Roadmap
+
+- [ ] Connect Vitalis_Core LLM as the live reasoning backend
+- [ ] HuggingFace Space interactive demo
+- [ ] Natural language task input via CLI
+- [ ] Multi-agent coordination between Devcore instances
+- [ ] Web UI dashboard for ledger and task visualization
+
+---
+
+## About the Developer
 
-## 🏗️ Ecosystem Architecture
-This engine is designed to operate in tandem with the **[Vitalis_Core](https://huggingface.co/FerrellSyntheticIntelligence/Vitalis_Core)** base model. While Vitalis_Core provides the cognitive reasoning, Vitalis_Devcore provides the execution layer that allows the model to interact with the IDE, validate code, and manage production deployments.
+FSI (Ferrell Synthetic Intelligence) is an independent AI research project built by a single self-taught developer over four years — no formal education, no team, no funding. Just a vision, a tablet, and a GPU.
 
-## 🚀 Getting Started
-1. **Clone the repository:**
-   `git clone https://huggingface.co/FerrellSyntheticIntelligence/Vitalis_Devcore`
-2. **Install dependencies:**
-   `pip install -r requirements.txt`
-3. **Configure:** Ensure your local environment is linked to your **Vitalis_Core** inference path.
+If this project resonates with you, a ⭐ star goes a long way.
 
-## 🛡️ Governance & Integrity
-- **Zero-Trust:** All autonomous intents require cryptographic token validation.
-- **Quality Gates:** Policy-enforced unit testing (Pytest) with 80% coverage requirements.
-- **Immutable Audit:** Every production merge is SHA-256 hashed into an append-only ledger (`production_ledger.json`).
+---
 
 *License: GPL-3.0*