Persistent Memory Infrastructure

System Capabilities

Persistent cognitive infrastructure for AI development tools. Every fix, every preference, every decision — retained and compounded.

Core Subsystems

The subsystems powering persistent intelligence and closed-loop learning.

Cross-Platform State Persistence

Single substrate. Persistent state across all MCP-compatible environments.

  • Switch IDEs freely—your patterns come with you
  • Automatic sync across all connected tools
  • No re-explaining your codebase to each tool

Autonomous Pattern Capture

Solutions encoded as executable patterns on resolution. Activated on retrieval.

  • Semantic pattern detection (not keyword matching)
  • 70%+ confidence threshold before activation
  • Patterns prove themselves through success rates

Confidence Signals™

Every suggestion cross-validated against operational history. Grounded, Speculative, or Conflict — flagged before execution.

  • Real-time validation under 100ms
  • Cross-references patterns, decisions, and directives
  • Catches problems before you implement them

Forever Memory™

Some things you never want the AI to forget. Files, patterns, and key insights are preserved permanently.

  • Never decayed, never pruned
  • Always retrievable, always preserved
  • Automatic for files, patterns, and preferences
Learn more

User Directives

Set MUST/NEVER/PREFER/AVOID rules your AI follows. Establish permanent behavioral constraints.

  • Persists across all sessions
  • Automatically enforced in responses
  • Conflict detection when rules clash

Golden Loop Architecture

Closed-loop reinforcement: Retrieve → Apply → Measure → Learn → Capture. Patterns sharpen with every cycle.

  • Success rate tracking for patterns
  • Automatic pattern promotion and retirement
  • Confidence scores evolve with usage
First-of-Kind Architecture

11-Layer Memory Architecture

Unlike flat vector databases, ekkOS uses a structured memory system inspired by human cognition.

1

Working Memory

24h conversation window for immediate context

2

Episodic Memory

Problem-solution pairs from past interactions

3

Semantic Memory

Compressed knowledge extracted from conversations

4

Pattern Memory

Proven templates with confidence evolution

5

Procedural Memory

Step-by-step workflows and processes

6

Collective Memory

Cross-agent learning across AI models

7

Meta Memory

System self-awareness and performance tracking

8

Codebase Memory

Code understanding and semantic search

9

Directives

User rules (MUST/NEVER/PREFER/AVOID)

10

Conflicts

When directives clash—resolution logic

11

Secrets Vault

Encrypted credentials and sensitive data (AES-256-GCM)

29 MCP Tools

MCP Memory Tools

29 user-facing tools that wire your AI directly to the memory substrate via the Model Context Protocol.

ekkOS_Search

Search across all 11 memory layers for patterns, solutions, and context.

ekkOS_Forge

Capture solutions that worked as reusable patterns for future use.

ekkOS_Directive

Set MUST/NEVER/PREFER/AVOID rules your AI follows permanently.

ekkOS_Recall

Remember what you discussed days or weeks ago with semantic search.

ekkOS_Conflict

Validate actions against your rules before executing them.

ekkOS_Context

Get relevant patterns and episodes for the current task.

Integration Protocol

One substrate. All environments. State persists across tool boundaries.

Cursor
Live
Claude Code
Live
VS Code
Live
Windsurf
Live
API / CLI
Live
ekkOS_\u2122 Memory Substrate
Central hub for all your AI tools
Memory Gateway

Any Model. Any Provider. One Memory.

Use GPT-4o, Claude, Grok, or Gemini — your patterns and context follow you everywhere.

Pattern Injection

Your relevant patterns are automatically injected into every request, no matter which provider you use.

Unified Memory

Teach Claude something, GPT knows it. All your tools share the same memory substrate.

Single Integration

One connection. Memory-aware intelligence across your entire model ecosystem, regardless of provider.

Continuous Intelligence

The Prometheus Feedback Loop

A continuous background engine that evaluates, promotes, and prunes your pattern library — so it gets sharper without any effort from you.

Delta Evaluation

Every pattern application is tracked. Delta scores measure how much each pattern actually reduced time-to-resolution over your baseline.

Auto-Promotion to Collective

Patterns with 85%+ success across 10+ uses are automatically promoted to the collective layer — available to your team instantly.

Skip-Rate Demotion

Patterns skipped more than used are quietly demoted before they clutter retrieval. The substrate self-curates.

Runs Every 15 Minutes

Background evaluation cycle continuously re-scores the library. Your pattern quality improves passively between sessions.

The result: After 100 pattern applications, ekkOS has processed 100 outcome signals — reinforcing what worked, retiring what didn't. That delta compounds every session.

Collective Mode

Collective Intelligence Mode

Institutional knowledge transfer at deployment speed. Compound intelligence at scale.

Shared Pattern Library

One senior forges a pattern. Everyone’s AI uses it instantly.

Consistent Suggestions

AI recommendations aligned with team conventions, not random Stack Overflow.

Onboarding Acceleration

New hires have access to years of institutional knowledge from day one.

Drift Detection

Analytics show when patterns diverge. Consolidate before it becomes debt.

Role-Aware Memory Spaces

Different contexts for frontend, backend, and DevOps teams.

Admin Controls

SSO, audit logs, permissions, and custom retention policies.

Security Architecture

Security Architecture

Defense-grade security posture. Your code never leaves your control.

SOC 2 Type II (certification in progress)
End-to-end encryption for all data
Your code never leaves your control
GDPR and CCPA compliant
Enterprise SSO (SAML, Google, GitHub)
Audit logs for compliance
Self-hosted option for Enterprise
Custom data residency

Deploy Persistent Intelligence

No credit card required. Operational from first session.