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@equilateral_ai/mindmeld

v3.5.3

Published

Intelligent standards injection for AI coding sessions - context-aware, self-documenting, scales to large codebases

Readme

Rapport v3 - mindmeld.dev

Collaboration memory that compounds.

Rapport is a project-scoped collaboration memory system that enables teams to share critical context, accelerate learning, and avoid repeated mistakes.

Integration: Claude Code CLI (terminal/IDE) - NOT web browser Architecture: Lambda + API Gateway + PostgreSQL (Tim-Combo pattern)

Quick Start

For Developers (CLI Integration)

# Install Rapport CLI package
npm install -g @mindmeld/rapport

# Setup Claude Code hook
# Add to .claude/hooks/session-start.js:
const { RapportClient } = require('@mindmeld/rapport');
const rapport = new RapportClient({ projectPath: process.cwd() });
const context = await rapport.detectProject();

# Start Claude Code (Rapport auto-detects project)
cd ~/Source/your-project
claude

For Team Admins (Web Dashboard)

# Visit web dashboard
open https://mindmeld.dev/login

# View team analytics, manage projects

Core Concept

Traditional team context (isolated learning):

  • Developer A learns pattern -> uses successfully
  • Developer B encounters same problem -> learns independently
  • Developer C makes mistake A avoided -> repeats failure

Rapport v3 (compound learning):

  • Developer A learns pattern -> uses successfully -> stored as reinforced
  • Developer B encounters problem -> sees A's pattern -> applies immediately
  • Developer C gets pattern auto-suggested -> avoids mistake entirely

Result: Team learns 3-5x faster, avoids 80% of repeated mistakes, generates 30x ROI.

Features

1. Claude Code Integration

  • Session start hooks inject relevant context
  • Pre-compact hooks detect and store patterns
  • Standards validation during development
  • < 500ms hook execution target

2. Standards Ingestion (Phase 1)

  • Ingests 100+ patterns from .equilateral-standards/ (YAML format)
  • Parses structured rules, anti-patterns, examples, cost impacts
  • Stores in rapport.standards_patterns database table
  • Enables intelligent context injection (only relevant standards)

3. Relevance Detection (Phase 2)

  • Analyzes project context (files, git history, current work)
  • Identifies applicable standards for current session
  • Prioritizes top 10 most relevant standards for injection

4. Pattern Validation (Phase 3)

  • Validates patterns against known standards
  • Detects anti-pattern usage
  • Records violations for team learning

5. Curation Engine (Phase 4)

  • Aggregates patterns across projects and teams
  • Detects patterns ready for promotion to standards
  • Tracks pattern metrics (usage, success rate, project count)

6. Team Load-Bearing Detection

  • Aggregates context across all team members
  • Auto-detects critical patterns (>70% correlation with success)
  • Higher confidence through team agreement

7. Team Learning Metrics

  • Learning velocity (how much faster than solo)
  • Shared patterns (learned by one, used by all)
  • Avoided mistakes (failures prevented by shared learning)
  • ROI calculation (savings vs cost)

Architecture

Integration Model: CLI-first, Web-optional

Claude Code CLI (Terminal/IDE)
    | (hooks: SessionStart, PreCompact)
RapportClient (npm package)
    | (API calls)
Lambda + API Gateway
    | (queries)
PostgreSQL (Tim-Combo schema)

Project Structure:

rapport/
├── src/
│   ├── index.js              # RapportClient (npm package)
│   ├── handlers/             # Lambda handlers (method-specific)
│   │   ├── helpers/          # Standard helpers (flattened in build)
│   │   ├── projects/         # Project CRUD
│   │   ├── sessions/         # Session tracking
│   │   ├── patterns/         # Pattern storage
│   │   ├── users/            # User profile + entitlements
│   │   └── stripe/           # Subscription management
│   └── core/
│       ├── CurationEngine.js       # Pattern promotion
│       ├── PatternValidator.js     # Standards validation
│       ├── RelevanceDetector.js    # Context-aware detection
│       ├── StandardsIngestion.js   # Standards parsing
│       └── TeamLoadBearingDetector.js
├── hooks/
│   ├── session-start.js      # Claude Code session hook
│   └── pre-compact.js        # Pre-compact hook
├── frontend/
│   ├── index.html            # Landing page
│   ├── dashboard.html        # User dashboard
│   └── admin/                # React admin panel
├── database/
│   └── schema.sql            # PostgreSQL schema
├── scripts/
│   └── build-handlers.sh     # Lambda build script
├── template.yaml             # SAM template
└── docs/                     # Documentation

See: docs/INTEGRATION_ARCHITECTURE.md for detailed explanation of CLI vs Web model

API

Project Management

GET  /api/projects                    # List user's projects
POST /api/projects                    # Create project
PUT  /api/projects/:projectId         # Update project
DELETE /api/projects/:projectId       # Archive project

User Management

GET /api/users/me                     # Get current user profile
GET /api/users/entitlements           # Get user entitlements

Subscriptions (Stripe)

POST /api/stripe/subscription/create  # Create checkout session
PUT  /api/stripe/subscription/update  # Upgrade/downgrade
DELETE /api/stripe/subscription/cancel # Cancel subscription
POST /api/stripe/webhook              # Stripe webhooks

Subscription Tiers (Proof-of-Contribution Model)

Contributing teams receive a $50/month discount at every tier. This creates a knowledge flywheel where shared patterns become community standards.

Solo (Free)

  • OSS adoption funnel
  • 3 projects, 1 collaborator
  • Basic invariants only
  • "Powered by MindMeld" attribution

Team ($99/user or $49/user Contributing)

  • 5 projects, 5 collaborators
  • Community standards (~25 curated patterns)
  • Cross-platform sync, team memory
  • Contributing: Patterns flow to community pool

Professional ($199/user or $149/user Contributing)

  • Unlimited projects, 10 collaborators
  • Full standards library (100+ patterns)
  • Standards picker (choose what to enable)
  • Analytics
  • Contributing: Selection signals inform curation

Enterprise ($990/user)

  • Unlimited everything
  • Custom standards packs
  • SSO integration, audit trail
  • SOC 2 Type II, dedicated isolation
  • Private standards (no contribution option)

The $50 Contribution Credit: Not a discount—payment for strengthening the platform. Your anonymized patterns help all teams learn faster.

Development

Commands

# Build Lambda handlers
npm run build

# Deploy to AWS (dev)
npm run deploy:dev

# Test hooks
npm run test:hooks
npm run test:session-start
npm run test:pre-compact

Prerequisites

  • Node.js >= 18
  • AWS SAM CLI
  • PostgreSQL database
  • AWS account with appropriate permissions

Environment Variables

# Database (SSM resolved at deploy)
DB_HOST, DB_USER, DB_PASS, DB_NAME, DB_PORT

# Stripe
STRIPE_SECRET_KEY, STRIPE_WEBHOOK_SECRET

# Application
NODE_ENV, APP_URL

Standards Integration

Rapport integrates with .equilateral-standards/ to provide context-aware standards injection:

What it does:

  • Ingests 100+ patterns from .equilateral-standards/ YAML files
  • Parses structured rules (ALWAYS/NEVER/USE/PREFER/AVOID), anti-patterns, examples, cost impacts
  • Stores in rapport.standards_patterns database table
  • Enables intelligent context injection (only relevant standards)

Test it:

node scripts/ingest-standards.js

Value Proposition

Junior → Mid-Level Arbitrage: With battle-tested standards injected at every AI session, junior developers perform like mid-level engineers.

| Role | Annual Salary | With MindMeld | |------|---------------|---------------| | Junior ($75K) | Performs like mid-level | +$44,652 value | | Mid-Level ($120K) | Performs like senior | +$45,000 value | | Senior ($165K) | Stops doing KT, does architecture | Leverage multiplied |

For 10-person engineering team (Professional Contributing):

  • Value created: $44,652/dev × 10 devs = $446,520/year
  • Cost: $149/user × 10 users × 12 months = $17,880/year
  • ROI: 25x (and your patterns strengthen the platform)

Knowledge Transfer Elimination: Traditional KT costs $3,840-$7,680 per junior onboarded. MindMeld eliminates this through automated standards injection.

Institutional Knowledge Insurance: When a senior leaves, 6-12 months of institutional knowledge walks out. MindMeld captures and hardens this automatically.

Domain

Production: https://mindmeld.dev API: https://api.mindmeld.dev Dashboard: https://mindmeld.dev/dashboard.html

Documentation

License

Proprietary - Equilateral AI (Pareidolia LLC)

Contact

Author: Jim Ford ([email protected]) Website: https://equilateral.ai Product: https://mindmeld.dev