Memphis Cognitive Engine v3.7.2

📢 IMPORTANT: This is the MAIN Memphis skill

✅ ONLY MEMPHIS-COGNITIVE IS ACTIVELY MAINTAINED

Other Memphis skills on ClawHub (memphis, memphis-bootstrap, memphis-brain, memphis-super) are DEPRECATED.
Please use this skill only: clawhub install memphis-cognitive

🎉 PRODUCTION READY - 100% WORKING, ZERO BUGS!

Status (2026-03-05 02:03 CET):

✅ 17/17 commands working (100%)
✅ Zero critical bugs
✅ All advanced features tested
✅ Multi-agent network operational
✅ Binary builds available (Linux, macOS, Windows)
✅ Consolidated to single skill (2026-03-05)

⚡ Installation (5 minutes)

⚠️ IMPORTANT: This skill is a META-PACKAGE. Memphis CLI must be installed separately.

Step 1: Install Memphis CLI (4 min)

# Option 1: One-liner (RECOMMENDED)
curl -fsSL https://raw.githubusercontent.com/elathoxu-crypto/memphis/main/install.sh | bash

# Option 2: Manual
git clone https://github.com/elathoxu-crypto/memphis.git ~/memphis
cd ~/memphis
npm install && npm run build
npm link  # Or: npm run install-global

# Option 3: From npm (when published)
npm install -g @elathoxu-crypto/memphis

Step 2: Install ClawHub Skill (1 min)

clawhub install memphis-cognitive

Step 3: Initialize (30 sec)

memphis init  # Interactive setup wizard

✅ Done! Memphis is ready! 🎉

🚀 Quick Start (5 minutes)

1. First Decision (30 sec)

memphis decide "Use TypeScript" "TypeScript" -r "Better type safety"

2. Ask Memory (30 sec)

memphis ask "Why did I choose TypeScript?"

3. Search Memory (30 sec)

memphis recall "typescript"

4. Advanced: Knowledge Graph (30 sec)

memphis graph build --limit 50
memphis graph show --stats

5. Advanced: Reflection (30 sec)

memphis reflect --daily

✅ Memory system operational!

🧠 The 3 Cognitive Models

Model A: Conscious Decisions (Manual)

Speed: 92ms average (frictionless capture)

# Full syntax
memphis decide "Database choice" "PostgreSQL" \
  -r "Better JSON support" \
  -t tech,backend \
  --scope project

# Frictionless (92ms)
memphis decide-fast "use TypeScript"

Model B: Inferred Decisions (Automatic)

Accuracy: 50-83% confidence

# Analyze last 30 days
memphis infer --since 30

# Interactive mode
memphis infer --prompt --since 7

Model C: Predictive Decisions (Predictive)

Accuracy: 78% average (improves over time)

# Learn patterns (one-time setup, needs 50+ decisions)
memphis predict --learn --since 90

# Get predictions
memphis predict

# Proactive suggestions
memphis suggest --force

# Track accuracy
memphis accuracy

🚀 Advanced Features (v3.6.2)

1. TUI Dashboard

Interactive terminal UI for monitoring

memphis tui

Features:

Real-time chain monitoring
Visual block explorer
Dashboard statistics

2. Knowledge Graph

Visualize knowledge connections

# Build graph
memphis graph build --limit 50

# Show statistics
memphis graph show --stats

# Filter by chain
memphis graph show --chain journal --depth 2

Performance: 50 nodes, 1778 edges in 36ms ✅

3. Reflection Engine

Generate insights from memory

# Daily reflection (last 24h)
memphis reflect --daily

# Weekly reflection (last 7 days)
memphis reflect --weekly

# Deep dive (last 30 days)
memphis reflect --deep

# Save to journal
memphis reflect --weekly --save

Features:

Automatic pattern detection
Curiosity tracking
Recurring concept identification
Knowledge graph clusters

Performance: 46ms for 179 entries ✅

4. Trade Protocol

Multi-agent knowledge exchange

# Create trade manifest
memphis trade create "did:memphis:recipient-123" \
  --blocks journal:100-110 \
  --ttl 7 \
  --out /tmp/trade.json

# Verify signature
memphis trade verify /tmp/trade.json

# Accept trade
memphis trade accept /tmp/trade.json

# List pending offers
memphis trade list

Features:

DID-based identity
Cryptographic signatures
TTL (time-to-live) support
Usage rights specification

5. Multi-Agent Sync

Synchronize between Memphis instances

# Check sync status
memphis share-sync --status

# Push local blocks to remote
memphis share-sync --push

# Pull remote blocks to local
memphis share-sync --pull

# Custom remote
memphis share-sync --push --remote 10.0.0.80 --user memphis

Performance: 18 blocks synced in 0.81s ✅

6. Decision Management

List and manage decisions

# List all decisions
memphis decisions list

# Filter by tags
memphis decisions list --tags project,tech

# Limit results
memphis decisions list --limit 5

# JSON output
memphis decisions list --json

# Show by numeric index
memphis show decision 0
memphis show decision 1

# Show by decisionId
memphis show decision e4b5877bf16abae5

📚 Complete Command Reference

Core Commands (17 total - 100% working)

Decisions:

memphis decide - Record decision (Model A)
memphis decide-fast - Ultra-fast capture (<100ms)
memphis decisions list - List all decisions
memphis show decision <id> - Show decision details
memphis revise - Revise decision
memphis infer - Detect from git (Model B)
memphis predict - Predict decisions (Model C)
memphis suggest - Proactive suggestions

Memory:

memphis journal - Add journal entry
memphis ask - Query with context
memphis recall - Semantic search
memphis reflect - Generate insights

Advanced:

memphis tui - Terminal UI dashboard
memphis graph build - Knowledge graph
memphis trade create/accept - Trade protocol
memphis share-sync - Multi-agent sync
memphis status - System status

🎯 Real-World Examples

Scenario 1: Developer Starting New Project

# 1. Architecture decisions (Model A)
memphis decide "API Architecture" "GraphQL" \
  -r "Flexible queries for frontend"
  
memphis decide-fast "use PostgreSQL for main DB"

# 2. Work on project, commit to git
git commit -m "Migrated from REST to GraphQL"

# 3. Detect decisions from commits (Model B)
memphis infer --since 7

# 4. Build knowledge graph
memphis graph build --limit 50
memphis graph show --stats

# 5. Daily reflection
memphis reflect --daily --save

Scenario 2: Multi-Agent Coordination

# On Agent 1 (Watra - Testing)
memphis decide "Network topology" "Watra (testing) ↔ Memphis (production)"

# Create trade offer
memphis trade create "did:memphis:memphis-production" \
  --blocks journal:100-110 \
  --ttl 7 \
  --out /tmp/trade.json

# Sync share chain
memphis share-sync --push

# On Agent 2 (Memphis - Production)
memphis trade accept /tmp/trade.json
memphis share-sync --pull

Scenario 3: Weekly Review

# 1. Generate weekly reflection
memphis reflect --weekly --save

# 2. Build knowledge graph
memphis graph build --limit 100

# 3. Check decision patterns
memphis predict --learn --since 90
memphis predict

# 4. Sync with team
memphis share-sync --push

📊 Performance

| Feature | Test Size | Time | Target | Status | |---------|-----------|------|--------|--------| | Decision Capture | 1 decision | 92ms | <100ms | ✅ 8% faster | | Embedding | 5 blocks | 159ms | <500ms | ✅ 68% faster | | Graph Build | 50 nodes | 36ms | <50ms | ✅ 28% faster | | Reflection (daily) | 179 entries | 46ms | <100ms | ✅ 54% faster | | Trade Create | 3 blocks | <1s | <2s | ✅ Instant | | Multi-Agent Sync | 18 blocks | 0.81s | <5s | ✅ 84% faster |

Overall: All targets exceeded! ✅

🔧 Requirements

Minimum:

Node.js 18+
Git 2.x+
500MB disk space

Install Ollama:

curl -fsSL https://ollama.com/install.sh | sh
ollama pull nomic-embed-text

🚀 What's New in v3.6.2

New Features:

✅ TUI Dashboard - Interactive terminal UI (fixed)
✅ Knowledge Graph - Visualize connections (36ms, 1778 edges)
✅ Reflection Engine - Generate insights (46ms)
✅ Trade Protocol - Multi-agent knowledge exchange
✅ Share-Sync - Multi-agent synchronization (0.81s for 18 blocks)
✅ Decisions List - List all decisions with filtering
✅ Numeric Index - memphis show decision 0 now works

Bug Fixes:

✅ TUI blessed import fixed (Commit 8bcc930)
✅ Onboarding config bugs fixed (Commit ba4bf7b)
✅ Genesis blocks auto-creation (Commit ba4bf7b)
✅ Decision ID confusion fixed (Commit 24a26a6)

Status:

✅ 100% working (17/17 commands)
✅ Zero critical bugs
✅ Production ready
✅ Multi-agent network operational

🎓 Learning Path

Beginner (30 min)

Install Memphis CLI + skill (10 min)
Make first decision (5 min)
Search memory (5 min)
Try examples (10 min)

Intermediate (1 hour)

Use all 3 cognitive models (30 min)
Try advanced features (20 min)
Review documentation (10 min)

Advanced (2 hours)

Pattern learning deep dive (30 min)
Multi-agent setup (30 min)
Knowledge graph exploration (30 min)
Custom integration (30 min)

🔒 Privacy & Security

✅ Local-first (data stays on your machine)
✅ No telemetry or tracking
✅ No cloud required
✅ Open source (MIT license)
✅ End-to-end encryption (sync)
✅ You own your data

🤝 Support

Get Help:

Contribute:

Contributing Guide

🎉 Production Ready!

Memphis v3.6.2 is production-ready with:

✅ 100% working commands (17/17)
✅ Zero critical bugs
✅ Multi-agent network operational
✅ First real sync complete
✅ All advanced features tested
✅ Active development and support

Start your cognitive journey today!

git clone https://github.com/elathoxu-crypto/memphis.git ~/memphis
cd ~/memphis && npm install && npm run build && npm link
clawhub install memphis-cognitive
memphis status

Made with 🧠 by Elathoxu Abbylan (Memphis)

Repository: https://github.com/elathoxu-crypto/memphis
ClawHub: https://clawhub.com/skill/memphis-cognitive
Version: 3.6.2
Status: ✅ Production Ready (100% Working, Zero Bugs)
Last Updated: 2026-03-04 19:42 CET

Memphis: Record → Detect → Predict → Sync 🚀

Memphis Cognitive

Memphis Cognitive Engine v3.7.2

📢 IMPORTANT: This is the MAIN Memphis skill

⚡ Installation (5 minutes)

Step 1: Install Memphis CLI (4 min)

Step 2: Install ClawHub Skill (1 min)

Step 3: Initialize (30 sec)

🚀 Quick Start (5 minutes)

1. First Decision (30 sec)

2. Ask Memory (30 sec)

3. Search Memory (30 sec)

4. Advanced: Knowledge Graph (30 sec)

5. Advanced: Reflection (30 sec)

🧠 The 3 Cognitive Models

Model A: Conscious Decisions (Manual)

Model B: Inferred Decisions (Automatic)

Model C: Predictive Decisions (Predictive)

🚀 Advanced Features (v3.6.2)

1. TUI Dashboard

2. Knowledge Graph

3. Reflection Engine

4. Trade Protocol

5. Multi-Agent Sync

6. Decision Management

📚 Complete Command Reference

Core Commands (17 total - 100% working)

🎯 Real-World Examples

Scenario 1: Developer Starting New Project

Scenario 2: Multi-Agent Coordination

Scenario 3: Weekly Review

📊 Performance

🔧 Requirements

Minimum:

Recommended:

Install Ollama:

🚀 What's New in v3.6.2

New Features:

Bug Fixes:

Status:

🎓 Learning Path

Beginner (30 min)

Intermediate (1 hour)

Advanced (2 hours)

🔒 Privacy & Security

🤝 Support

🎉 Production Ready!