engramIQ

The Memory Infrastructure Behind Learning Agents

engramIQ is the first multi-modal memory platform designed specifically for AI agents. Our infrastructure transforms stateless interactions into intelligent agents that remember, learn, and improve with every conversation.

Built around four complementary memory types and an intelligent orchestration engine that makes agents smarter over time while maintaining enterprise security and compliance.

engramIQ: Agent Learning & Memory ArchitectureπŸ€– Agent Interaction LayerContext Persistence β€’ Learning Feedback β€’ Developer ExperienceAPI GatewaySDK/CLI AccessAuth/PBACSession ManagementRate Limiting🧠 Memory Orchestration EngineIntelligent Routing β€’ Query Planning β€’ Learning Optimization β€’ Performance MonitoringMemory RouterRequest AnalysisMemory Type SelectionQuery PlannerMulti-modal OptimizationParallel ExecutionLearning OptimizerPattern AnalysisMemory PromotionCache ManagerPredictive Pre-fetchingPerformance OptimizationπŸ—„οΈ Multi-Modal Memory StoreFour Memory Types β€’ Cross-Modal Integration β€’ Learning Synthesis β€’ Context EnrichmentπŸ—ƒοΈ Structured MemoryFacts β€’ MetadataUser Preferences🧠 Semantic MemoryEmbeddings β€’ ConceptsContext UnderstandingπŸ•ΈοΈ Graph MemoryRelationships β€’ EntitiesReasoning Paths⏰ Temporal MemoryEvents β€’ Time-seriesCausality Trackingβš™οΈ Enterprise InfrastructureSecurity & Compliance β€’ Performance β€’ Observability β€’ Multi-Tenant OperationsSecurityComplianceObservabilityMulti-TenantAuto-ScalingAgentsIntelligenceMemoryInfrastructureKey Agent Learning Features:Sub-100ms query latency β€’ Continuous learning from interactions β€’ Multi-modal memory integration β€’ Developer-first APIs

🧠 Multi-Modal Memory Architecture

Four memory types working together to give agents complete context and learning capabilities.

πŸ—ƒοΈ Structured Memory

Facts & Metadata

User preferences, account information, transaction records, system state

Relational Data

Normalized records with ACID compliance and transactional updates

🧠 Semantic Memory

  • β€’ Vector Embeddings: Document understanding and similarity search
  • β€’ Contextual Search: Find related concepts and ideas
  • β€’ Semantic Clustering: Group related memories automatically
  • β€’ Multi-Model Support: OpenAI, Cohere, and custom embeddings

πŸ•ΈοΈ Graph Memory

  • β€’ Entity Relationships: Model complex connections between data
  • β€’ Traversal Queries: Follow paths through relationship networks
  • β€’ Pattern Recognition: Discover hidden relationships automatically
  • β€’ Knowledge Graphs: Build rich domain models

⏰ Temporal Memory

  • β€’ Event Sequences: Track what happened when
  • β€’ Time-Series Data: Monitor trends and patterns over time
  • β€’ Causality Tracking: Understand cause and effect relationships
  • β€’ Temporal Queries: Search within specific time windows

πŸ”„ Agent Learning System

Memory operations designed to capture outcomes, learn from feedback, and continuously improve agent performance.

1. Interaction Capture

  • β€’ Record all agent-user interactions with context
  • β€’ Capture user feedback and satisfaction signals
  • β€’ Track conversation outcomes and success metrics
  • β€’ Store interaction metadata for analysis

2. Pattern Recognition

  • β€’ Identify successful interaction patterns
  • β€’ Detect user preference trends over time
  • β€’ Recognize context clues that improve responses
  • β€’ Learn from edge cases and failure modes

3. Memory Refinement

  • β€’ Update memory based on new information
  • β€’ Strengthen connections that lead to success
  • β€’ Archive outdated or incorrect memories
  • β€’ Optimize memory structure for faster access

4. Intelligent Orchestration

  • β€’ Memory Router: Select optimal memory types for queries
  • β€’ Query Planner: Optimize multi-modal queries for performance
  • β€’ Cache Manager: Predictive pre-fetching based on patterns
  • β€’ Learning Engine: Continuous optimization of memory operations

5. Performance Optimization

  • β€’ Sub-100ms P99 latency for memory queries
  • β€’ Horizontal scaling for millions of agents
  • β€’ Multi-level caching hierarchy
  • β€’ Auto-scaling based on demand patterns

6. Developer Experience

  • β€’ Single API for all memory operations
  • β€’ Native SDKs with type safety
  • β€’ Local development with memory persistence
  • β€’ Comprehensive observability and debugging

πŸ”„ Universal Data Ingestion

Connect any data source to feed your agent's memory. 500+ connectors with automatic semantic enhancement and relationship extraction.

πŸ“ Batch Processing

Documents, CSVs, databases with full semantic enhancement

⚑ Real-Time Streams

Live data feeds with immediate memory updates

πŸ”„ Scheduled Sync

Automated ingestion from SaaS tools and APIs

πŸ“‘ Agent SDK & Integration

Built for developers, designed for agents. Simple integration with any agent framework or custom implementation.

  • β€’ Language SDKs: Python, TypeScript, Java with full type safety
  • β€’ Framework Integration: LangChain, LangGraph, AutoGPT compatible
  • β€’ Custom Adapters: Build your own agent framework integration
  • β€’ Local Development: Test agents with memory persistence locally

🎯 Advanced Query Capabilities

Sophisticated memory queries that give agents complete context for intelligent decision-making.

Semantic Queries

Vector similarity search across all content with contextual relevance scoring

Structured Queries

SQL-like queries on structured data with full ACID compliance

Graph Traversal

Follow relationship paths to discover connected information

Temporal Queries

Time-based searches with event sequences and causality tracking

🏒 Enterprise-Grade Infrastructure

Built with enterprise security, compliance, and performance from day one.

⚑ Performance & Scale

Designed for production workloads with enterprise performance requirements.

  • β€’ Sub-100ms P99 latency for memory operations
  • β€’ Auto-scaling for millions of concurrent agents
  • β€’ Multi-region deployment with data locality
  • β€’ 99.9% uptime SLA with automatic failover

πŸ›‘οΈ Security & Compliance

Enterprise security and compliance built in, not bolted on.

  • β€’ Zero-trust architecture with end-to-end encryption
  • β€’ HIPAA, SOC2, GDPR compliance out of the box
  • β€’ Fine-grained access controls and audit trails
  • β€’ Data residency controls and privacy protection

πŸ”§ Complete Developer Toolkit

Development Tools

  • β€’ Local memory persistence for development and testing
  • β€’ Memory inspection and debugging tools
  • β€’ Performance profiling and optimization insights
  • β€’ Comprehensive documentation and examples
  • β€’ CLI tools for data import and management
  • β€’ Migration utilities for existing systems

Production Operations

  • β€’ Real-time monitoring and alerting
  • β€’ Memory usage analytics and optimization
  • β€’ Agent performance tracking and insights
  • β€’ Automated backup and disaster recovery
  • β€’ Cost optimization and usage reporting
  • β€’ 24/7 support for enterprise customers