Phantom Neural Cortex

Phantom Neural Cortex v4.0 — Phantom Agent System

> Deployable AI Employee — PNC + NSS + echo_log + Mattermost unified

[](LICENSE) [](CHANGELOG.md)

A unified AI agent system that combines orchestration (PNC), security (NSS), tool execution (echo_log), and team communication (Mattermost) into a single deployable AI employee.

What's New in v4.0 — Phantom Agent System

v4.0 integrates four production systems into one agent that can plan, execute, communicate, and be controlled:

Core v4.0 Features

• HRM Controller — Cloud LLMs plan (Opus/Codex), local models execute (Ollama)
• NSS Security — 6-layer defense in every task pipeline (SENTINEL, MARS, VIGIL, SHIELD)
• echo_log Integration — 42 tools, RAG memory, 4-phase reasoning via HTTP
• Mattermost Bridge — Real-time WebSocket communication (Jak Bot pattern)
• 3-Way Killswitch — Terminal (Ctrl+K), Mattermost (/killswitch), REST API
• AGENT.yaml Config — Pydantic-validated agent configuration with role templates
• Go TUI Terminal — Bubble Tea Kommandozentrale with live agent monitoring
• DSGVO + EU AI Act — Compliance via NSS (PII redaction, privacy budget, audit trail)

Previous Features (v3.x)

• Intelligent Swarm Routing (Phase 5) — Score-based agent selection (IntelligenceEngine)
• Impact Prediction (Dry Run) — Simulate cost, quality, and speed before execution
• Autonomous Feedback Loops — Automatic re-routing if quality thresholds aren't met
• Advanced CLI & Dashboard (Phase 6) — Interactive Socket.IO CLI
• Persistent Multi-Backend Memory (Phase 4) — SQL + Redis
• Sandbox Hardening (Phase 7) — Docker-based isolated execution

---

Architecture

Task -> PhantomAgent.handle_task()
         |
         1. Killswitch Check
         2. NSS SENTINEL (Injection Defense)
         3. NSS MARS (Risk Scoring)
         4. HRM Router (Complexity Assessment)
         |                    |
     HIGH (>= 0.6)       LOW ( Plan Steps        (42 Tools)
     -> Executor
     (Ollama)
         |
     Feedback Loop
     (on failure -> refine plan)
         |
     MM Notification

Service Architecture

PNC Gateway :18789     -- Orchestration + Agent Management + Killswitch
NSS Gateway :11337     -- PII Redaction, STEER
NSS Guardian :11338    -- MARS, SENTINEL, VIGIL, SHIELD
NSS Governance :11339  -- Policy Engine, Privacy Budget, DPIA
echo_log VG :8085      -- 42 Tools, RAG, Reasoning
Ollama :11434          -- Local LLM Inference (GPU)
Mattermost :8065       -- Team Communication

---

Quick Start

Deploy an Agent (5 minutes)

# 1. Clone
git clone https://github.com/LEEI1337/phantom-neural-cortex
cd phantom-neural-cortex
pip install -r requirements.txt

# 2. Interactive Setup
./agent-setup.sh
# -> Creates agents//AGENT.yaml

# 3. Start Agent with Gateway
python run_agent.py --config agents/lisa01/AGENT.yaml --gateway
# -> Gateway on :18789, Agent listening on Mattermost

Docker Compose (Full Stack)

docker compose up -d
# Starts: PNC Gateway, 3x NSS, PostgreSQL, Redis, Prometheus, Grafana

Submit a Task

curl -X POST http://localhost:18789/agent/lisa01/task \
  -H "Content-Type: application/json" \
  -d '{"task": "Check all docker services and report unhealthy ones"}'

TUI Terminal (Kommandozentrale)

cd kommandozentrale
go mod tidy && go build -o phantom-tui ./cmd/
./phantom-tui --pnc http://localhost:18789
# Ctrl+K = Killswitch | r = Revive | j/k = Navigate | q = Quit

Legacy CLI

python cli.py
# /status, /swarm-status, /preview , /context

---

Key Components

PhantomAgent (agent.py)

The unified agent class. Load from AGENT.yaml, start, handle tasks, stop:

agent = PhantomAgent.from_config("config/templates/lisa01.yaml")
await agent.start()     # Connect MM, register killswitch
result = await agent.handle_task("Deploy new monitoring stack")
await agent.stop()

HRM Controller (hrm/)

Hierarchical Reasoning Model — routes by complexity:

| Complexity | Score | Model | Path | |-----------|-------|-------|------| | HIGH | >= 0.6 | Cloud LLM (Opus) | Planner -> Steps -> Executor | | MEDIUM | >= 0.35 | Ollama | Direct via echolog | | LOW | < 0.35 | Ollama | Direct via echolog |

Killswitch (killswitch/)

3-way emergency stop with SHA-256 tamper-evident audit trail:

• Terminal: Ctrl+K in TUI
• Mattermost: /killswitch lisa01
• REST API: POST /killswitch/agent/lisa01/kill

AGENT.yaml (config/)

agent:
  name: "lisa01"
  role: "Infrastructure Specialist"
llm:
  planner: "opus-4.6"
  executor: "mistral-small3.2"
  local_only: false
security:
  nss_enabled: true
  approval_level: "RISKY"
  killswitch_owners: ["joe"]

Templates: lisa01 (Infra), jim01 (DevOps), john01 (Research)

NSS Security (via integrations/nss_client.py)

Every task passes through:

1. SENTINEL — Injection detection
2. MARS — Risk scoring (Tier 0-3)
3. VIGIL — Tool safety (before each step)

Graceful degradation: if NSS is offline, defaults to SAFE.

---

Project Structure

phantom-neural-cortex/
├── agent.py                    # PhantomAgent main class
├── run_agent.py                # CLI entry point
├── agent-setup.sh              # Interactive agent setup
├── hrm/                        # HRM Controller
│   ├── router.py               # Complexity assessment
│   ├── planner.py              # Cloud LLM planning
│   └── executor.py             # Ollama execution
├── integrations/               # Service clients
│   ├── nss_client.py           # NSS (3 services)
│   ├── echoLog_client.py       # echo_log VG
│   └── mm_bridge.py            # Mattermost WebSocket
├── killswitch/                 # Emergency stop
│   ├── handler.py              # Kill logic + audit
│   └── api.py                  # REST + MM webhook
├── config/                     # Agent configuration
│   ├── schema.py               # AGENT.yaml schema
│   └── templates/              # Role templates
├── kommandozentrale/           # Go TUI Terminal
│   ├── cmd/main.go
│   └── internal/tui/app.go
├── gateway/                    # PNC Gateway (existing)
├── dashboard/                  # Dashboard (existing)
├── memory/                     # Memory backends (existing)
├── skills/                     # Skills system (existing)
├── docker-compose.yml          # Full stack
└── docs/
    ├── PHANTOM-AGENT-SYSTEM.md # Full technical docs
    └── api/PHANTOM-AGENT-API.md

Roadmap

• [x] Phase 1-3: Base OpenClaw Modernization
• [x] Phase 4: Persistent Memory (SQL/Redis)
• [x] Phase 5: Swarm Routing & Impact Prediction
• [x] Phase 6: CLI & Dashboard
• [x] Phase 7: Sandbox Hardening
• [x] Phase 8: Phantom Agent System (PNC + NSS + echo_log + MM)
• [ ] Phase 9: Phantom Link (encrypted agent-to-agent communication)
• [ ] Phase 10: Training Pipeline integration (bake knowledge into models)

Documentation

• [Phantom Agent System (Full)](docs/PHANTOM-AGENT-SYSTEM.md)
• [API Reference](docs/api/PHANTOM-AGENT-API.md)
• [System Architecture](docs/SYSTEMARCHITECTURESUMMARY.md)
• [Context Management](docs/CONTEXT_MANAGEMENT.md)
• [Sandbox Hardening](docs/architecture/SANDBOX_HARDENING.md)

---

Maintained by: LEEI1337 / AI Engineering Version: 4.0.0 Last Updated: March 2026

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: LEEI1337
• Source: LEEI1337/phantom-neural-cortex
• License: MIT

Install and usage instructions live in the source repository linked above.