AI Starter Package
10 Layers · 1,745 Skills · 250+ Agents · 7-Tier Memory

The Complete AI Brain Architecture

Stop prompting. Start building systems. This is the 10-layer operating system that turns Claude Code into a predictable engineering partner.

1,745+
Skills
250+
Agents
11
Hard Rules
7
Memory Tiers
34
Lessons
27
Guides

10-Layer Brain Architecture

Each layer builds on the one below. Together they form a complete AI operating system that learns, evaluates, and improves autonomously.

L9
Network
Claude Peers + Ruflo Hive Mind consensus
Cross-instance messagingGossip protocolsPeer discovery
L8
Company
Paperclip — org charts, workflows, governance
Org structureDecision workflowsBusiness governance
L7
Security
Dual-Gate Review + CVE detection + threat modeling
Gate 1: SecurityGate 2: QualityVulnerability scanning
L6
Evaluation
Self-improvement loop, agent training, quality metrics
1-10 scoringPattern extractionAgent training
L5
Orchestration
Ruflo Swarm Engine, Queen/worker topology
Swarm commandsAutopilot modeHook system
L4
Integration
330+ MCP tools — GitHub, Slack, Apify, SerpAPI
MCP serversTool registryAPI bridges
L3
Memory
7-tier: Session to Working to KB to Agent to Graph to Vector to Archive
7-tier stackPointer-basedSemantic search
L2
Agents & Skills
250+ agents + 1,745 skills loaded on demand
11 specialists98 swarm agents1,745 skills
L1
Core Brain
CLAUDE.md + Model Routing (Haiku/Sonnet/Opus)
Identity systemHard rulesModel routing
L0
Foundation
Screenpipe — screen memory for full context
Screen captureAudio memoryContext injection

7-Tier Memory Stack

1
Session
Context window (current conversation)
2
Working
memory.md — active task, pruned weekly
3
Knowledge Base
knowledge-base.md — permanent, auditor-gated
4
Agent Memory
Per-agent persistent state across sessions
5
Knowledge Graph
MCP code-review-graph — structured relations
6
Vector Memory
HNSW + SQLite — semantic search
7
Archive
Daily notes — chronological history
Survives context resets, compaction, and session boundaries

See What You Get

The brain ships as a CLAUDE.md file with hard rules, protocols, and architecture. Here is a preview.

CLAUDE.md Preview

# AI Brain System — Professional Operating System for Claude Code

Always read `.claude/memory.md` before taking action.
Always read `.claude/knowledge-base.md` for learned rules.

## Identity
You are a Senior AI-Powered Developer. You specialize in building
with AI tools, Claude Code, MCP servers, and multi-agent orchestration.
You prioritize clean architecture, security, and user experience.

## Hard Rules (Non-Negotiable)
- Always write TypeScript — never plain JavaScript (except config files)
- Never hardcode secrets or API keys — use environment variables
- Always use the `@/` path alias for imports
## Skill Leverage Protocol (HARD RULE)
Before executing ANY task:
1. Identify the task category...
2. Search installed skills...
3. Read the top matching SKILL.md files...

## Brain Sync Protocol (HARD RULE)
Before finishing ANY session, update:
- .claude/memory.md — current state...
- .claude/knowledge-base.md — new patterns...

## Self-Improvement Protocol (HARD RULE)
After EVERY task, run this loop:
1. EVALUATE — Did the output meet quality...
2. LEARN — What pattern worked?...

## 10-Layer Architecture
Layer 0: Foundation — Screenpipe...
Layer 1: Core Brain — CLAUDE.md...
Layer 2: Agents — 250+ agents...
...
## Model Routing Table [REDACTED]
## Effort Allocation [REDACTED]
## Execution Framework [REDACTED]

11 Hard Rules (Non-Negotiable)

  1. 1Always write TypeScript — never plain JavaScript (except config files)
  2. 2Never hardcode secrets or API keys — use environment variables
  3. 3Search and use skills BEFORE every task — non-negotiable
  4. 4Update ALL brain files before ending any session (Brain Sync)
  5. 5Evaluate after every task with a 1-10 quality score
  6. 6After writing ANY code, spawn a review sub-agent before committing
  7. 7Rate every output across Correctness, Completeness, Efficiency, Security
  8. 8When a pattern works 3+ times, extract it into a reusable skill
  9. 9Actually USE all 10 layers in execution, not just claim them
  10. 10Never inflate numbers — always verify counts before claiming
  11. 11Keep components under 150 lines — extract sub-components when they grow

Save $8,856/year on Token Costs

7 layers of savings built into the brain. Without it: ~$900/mo. With it: ~$162/mo. That is $738/month saved — 91x ROI on a $97 purchase.

1
Caveman Mode75% token reduction

Terse output rules eliminate verbose AI responses. Fewer tokens per response = lower cost per interaction.

2
Token Efficiency Rules63% output reduction

Structured output formats, no filler, no preamble. Hard rules force concise, actionable responses every time.

3
Model Routing60-90% cost reduction

Route simple tasks to Haiku ($0.25/MTok) instead of Opus ($15/MTok). Use the expensive model only when it matters.

4
Progressive Skill LoadingContext savings

Skills load on-demand per task category instead of bloating every session. Less context = fewer tokens burned.

5
Context Health MonitoringPrevents overflow waste

Auto-compaction hooks save state before context overflows. No lost work, no repeated context rebuilding.

6
15-Minute UnitsFocused = less context

Small, verifiable units keep sessions tight. Less wandering = fewer tokens wasted on wrong approaches.

7
Pointer-Based Memory30 lines vs 500 lines

Memory.md uses pointers to files instead of inlining content. 94% reduction in memory context overhead.

Combined effect
$900/mowithout brain
$162/mowith brain
91x ROI

Pro costs $97 one-time. It pays for itself in 4 days.

Before vs After

Generic prompting versus systematic execution with the AI Brain.

Without Brain
With Brain v2.0
Copy-paste prompts every session
Persistent memory across all sessions
Forget context after compaction
7-tier memory survives any context reset
No code review process
Sub-agent review on every commit
Hope the AI remembers your rules
11 hard rules enforced deterministically
One model, one approach
250+ specialized agents dispatched per task
Start from scratch every time
1,745 skills loaded on demand per category
Built from patterns proven by 350K+ GitHub stars
From everything-claude-code (140K stars), gstack (65K stars), claude-code-best-practice (32K stars)

Ready to transform how you use Claude Code?

Get the complete 10-layer brain system with all 1,745 skills, 250+ agents, 11 hard rules, 7-tier memory, hooks, commands, and the full education program.

One-time purchase. No subscription. All future updates included.