Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Provides persistent, semantic, and secure AI memory with knowledge graphs, decay-based forgetting, contradiction detection, and multi-layer defence against m...
Provides persistent, semantic, and secure AI memory with knowledge graphs, decay-based forgetting, contradiction detection, and multi-layer defence against m...
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Give your AI agent a brain that persists between sessions β and protect it from memory poisoning attacks.
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. 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 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 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)
Node.js >= 18 npm or pnpm
npm install -g shieldcortex For OpenClaw integration (installs the cortex-memory hook): shieldcortex openclaw install For Claude Code / VS Code / Cursor MCP integration: shieldcortex install
After shieldcortex openclaw install, the hook activates on next restart: Auto-saves important session context on compaction Injects relevant past memories on session start "remember this: ..." keyword trigger saves memories inline
# 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
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'}, ...]
FeatureDescriptionPersistent StorageSQLite-backed, survives restarts and compactionSemantic SearchFind memories by meaning, not just keywordsProject ScopingIsolate memories per project/workspaceImportance LevelsCritical, high, normal, low with auto-decayCategoriesArchitecture, decisions, preferences, context, learnings, errorsDecay & ForgettingOld, unaccessed memories fade β like a real brainConsolidationAutomatic merging of similar/duplicate memoriesContradiction DetectionFlags when new memories conflict with existing onesKnowledge GraphExtracts entities and relationships from memoriesActivation ScoringRecently accessed memories get retrieval prioritySalience ScoringImportant memories surface first in search
LayerProtectionInput SanitisationStrip control characters, null bytes, dangerous formattingPattern DetectionRegex matching for known injection patternsAnomaly ScoringEntropy analysis, behavioural deviation detectionCredential Leak DetectionBlocks API keys, tokens, private keys (25+ patterns, 11 providers)Trust ScoringSource-based reliability scoring for memory writesAudit TrailFull forensic log of every memory operationSkill ScannerDetect prompt injection in SKILL.md, .cursorrules, CLAUDE.md
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.
npm: https://www.npmjs.com/package/shieldcortex GitHub: https://github.com/Drakon-Systems-Ltd/ShieldCortex Website: https://shieldcortex.ai Docs: https://github.com/Drakon-Systems-Ltd/ShieldCortex#readme
The library exports 70 named functions and types covering defence, memory, knowledge graph, skill scanning, and audit. Full list in the CHANGELOG.
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.