ShieldCortex — Persistent Memory & Security for AI Agents

ShieldCortex — Persistent Memory & Security for AI Agents

Give your AI agent a brain that persists between sessions — and protect it from memory poisoning attacks.

Description

ShieldCortex is a complete memory system with built-in security. It gives AI agents persistent, intelligent memory with semantic search, knowledge graphs, decay-based forgetting, and contradiction detection. Every memory write passes through a 6-layer defence pipeline that blocks prompt injection, credential leaks, and poisoning attacks. Iron Dome adds behavioural protection with action gates, security profiles, and full audit trails.

Use when:

• You want your agent to remember things between sessions (decisions, preferences, architecture, context)
• You need semantic search across past memories (not just keyword matching)
• You want automatic memory consolidation, decay, and cleanup
• You want knowledge graph extraction from memories (entities, relationships)
• You need to protect memory from prompt injection or poisoning attacks
• You want credential leak detection in memory writes (25+ patterns, 11 providers)
• You want to audit what's been stored in and retrieved from memory
• You want to scan agent instruction files (SKILL.md, .cursorrules, CLAUDE.md) for hidden threats
• You want behavioural protection with Iron Dome (action gates, security profiles)
• You want to guard any memory backend with the defence pipeline (Universal Memory Bridge)

Do NOT use when:

• You only need simple key-value storage (use a config file)
• You want ephemeral session-only context (use the agent's built-in context window)
• You need a vector database for RAG pipelines (ShieldCortex is agent memory, not document retrieval)

Prerequisites

• Node.js >= 18
• npm or pnpm (or pip for Python)

Install

npm install -g shieldcortex

Python SDK:

pip install shieldcortex

For OpenClaw integration (installs the cortex-memory hook):

shieldcortex openclaw install

For Claude Code / VS Code / Cursor MCP integration:

shieldcortex install

Quick Start

As an OpenClaw hook (automatic)

After shieldcortex openclaw install, the hook activates on next restart:

• Injects relevant past memories on session start
• "remember this: ..." keyword trigger saves memories inline
• Auto-memory (opt-in) — extracts important context on session end with smart deduplication

Enable auto-memory:

npx shieldcortex config --openclaw-auto-memory

CLI Commands

# Check status
shieldcortex status

# Scan content for threats
shieldcortex scan "some text to check"

# Full security audit of your agent environment
shieldcortex audit

# Scan all installed skills/instruction files for hidden threats
shieldcortex scan-skills

# Scan a single skill file
shieldcortex scan-skill ./path/to/SKILL.md

# Build knowledge graph from existing memories
shieldcortex graph backfill

# Start the visual dashboard
shieldcortex --dashboard

As a Library (programmatic)

import {
  addMemory,
  getMemoryById,
  runDefencePipeline,
  scanSkill,
  extractFromMemory,
  consolidate,
  initDatabase
} from 'shieldcortex';

// Initialize
initDatabase('/path/to/memories.db');

// Add a memory (automatically passes through defence pipeline)
addMemory({
  title: 'API uses OAuth2',
  content: 'The payment API requires OAuth2 bearer tokens, not API keys',
  category: 'architecture',
  importance: 'high',
  project: 'my-project'
});

// Scan content before processing
const result = runDefencePipeline(untrustedContent, 'Email Import', {
  type: 'external',
  identifier: 'email-scanner'
});

if (result.allowed) {
  // Safe to process
}

// Extract knowledge graph entities
const { entities, triples } = extractFromMemory(
  'Database Migration',
  'We switched from MySQL to PostgreSQL for the auth service',
  'architecture'
);
// entities: [{name: 'MySQL', type: 'service'}, {name: 'PostgreSQL', type: 'service'}, ...]
// triples: [{subject: 'auth service', predicate: 'uses', object: 'PostgreSQL'}, ...]

Memory System Features

Security Features

Iron Dome

Behavioural security layer that controls what agents can do:

• Security Profiles — school, enterprise, personal, paranoid — each with tailored action gates and trust levels
• Action Gates — gate dangerous actions (send_email, delete_file, api_call) requiring approval before execution
• Injection Scanning — scan any text for prompt injection patterns with severity and category
• Full Audit Trail — every action check is logged for forensic review

Universal Memory Bridge

Guard any memory backend with the defence pipeline — not just ShieldCortex's built-in storage:

import { ShieldCortexGuardedMemoryBridge, MarkdownMemoryBackend } from 'shieldcortex';

const bridge = new ShieldCortexGuardedMemoryBridge({
  backend: new MarkdownMemoryBackend('~/.my-memories/'),
});

Built-in backends: MarkdownMemoryBackend, OpenClawMarkdownBackend. Implement the backend interface for custom storage.

ShieldCortex Cloud (Optional)

Sync audit data to a team dashboard for cross-project visibility:

shieldcortex config set-api-key <your-key>

Free local package is unlimited. Cloud adds team dashboards, audit aggregation, and alerts.

Links

• npm: https://www.npmjs.com/package/shieldcortex
• PyPI: https://pypi.org/project/shieldcortex
• GitHub: https://github.com/Drakon-Systems-Ltd/ShieldCortex
• Website: https://shieldcortex.ai
• Docs: https://shieldcortex.ai/docs