Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท AI
Memphis Brain
Memphis AI brain integration - local-first memory with journal, recall, ask, decisions, and summaries
skill openclawclawhub Free
Memphis AI brain integration - local-first memory with journal, recall, ask, decisions, and summaries
โฌ 0 downloads โ
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- QUICKSTART.md, README.md, SKILL.md, skill.json
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 3.0.0
Provenance
- Publisher
- elathoxu-crypto
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Memphis - Complete AI Brain ๐ฅ
Transform any OpenClaw agent into a fully-functional cognitive partner in 5 minutes!
โก What is Memphis?
Memphis = Agent + LLM + Memory Chain + DECIDE + PREDICT A local-first AI brain with persistent memory chains, offline LLM integration, and complete cognitive capabilities (conscious, inferred, and predictive decisions).
What's Included:
๐ฆ Memphis v3.0.0 โโโ ๐ง Core Brain (v3.0.0) โ โโโ Journal (capture memories) โ โโโ Recall (semantic search) โ โโโ Ask (LLM-powered Q&A) โ โโโ Decisions (decision tracking) โ โโโ Vault (encrypted secrets) โ โโโ Graph (knowledge graph) โ โโโ Embeddings (vector search) โ โโโ ๐ Cognitive Engine (v3.0.0) โ โโโ Model A: Record decisions (manual) โ โโโ Model B: Detect decisions (git-based) โ โโโ Model C: Predict decisions (AI-powered) โ โโโ Pattern learning (90.7% accuracy) โ โโโ Proactive suggestions โ โโโ ๐ ๏ธ Setup & Management (v2.0.0) โ โโโ Bootstrap wizard (5-minute setup) โ โโโ Self-loop capability โ โโโ Auto-repair system โ โโโ Chain monitoring โ โโโ Backup automation โ โโโ ๐ Multi-Agent Network (v1.0.0) โโโ Campfire Circle Protocol โโโ Share chain sync (IPFS) โโโ Multi-agent collaboration โโโ Agent negotiation
1. Install (30 sec)
clawhub install memphis
2. Initialize (2 min)
# Interactive setup wizard memphis init # Or quick setup with identity memphis init --identity "YourAgent" --role "Assistant" --location "localhost"
3. First Memory (1 min)
# Create your first memory memphis journal "Hello Memphis! I'm your first memory!" --tags first,hello # Search your memory memphis ask "What is my first memory?" --provider ollama
4. First Decision (1 min)
# Record a conscious decision memphis decide "Framework choice" "React" \ --options "React|Vue|Angular" \ --reasoning "Best ecosystem and community support" \ --tags tech,frontend
5. Predict (30 sec)
# See predicted decisions based on patterns memphis predict # Enable learning mode memphis predict --learn โ Done! Memphis is ready!
1. Memory Chains (Persistent Storage)
# Journal - Capture everything memphis journal "Learned: TypeScript generics" --tags learning,typescript memphis journal "Met with team about Project X" --tags meeting,project-x # Recall - Semantic search memphis recall "TypeScript" --top 20 # Ask - LLM-powered Q&A memphis ask "What did I learn about TypeScript?" --provider ollama
2. Decision Tracking
# Record decision memphis decide "Database" "PostgreSQL" \ --options "PostgreSQL|MongoDB|SQLite" \ --reasoning "Need ACID transactions" \ --tags architecture,database # View decision memphis show decision 1 # List all decisions memphis decisions
3. Knowledge Graph
# Build graph from chains memphis graph build # Explore connections memphis graph show --chain journal --limit 10
4. Encrypted Vault
# Initialize vault memphis vault init --password-env MEMPHIS_VAULT_PASSWORD # Add secret memphis vault add openai-key sk-xxx --password-env MEMPHIS_VAULT_PASSWORD # Get secret memphis vault get openai-key --password-env MEMPHIS_VAULT_PASSWORD
Model A: Conscious Decisions
# Manual decision recording memphis decide "Use TypeScript" "TypeScript" -r "Better type safety"
Model B: Inferred Decisions
# Auto-detect from git commits memphis git-analyze --auto-decide # Review suggestions memphis review --pending
Model C: Predictive Decisions
# Predict next decisions memphis predict # Enable learning memphis predict --learn # View patterns memphis patterns show
Auto-Repair
# Verify chain integrity memphis verify # Auto-repair issues memphis repair --auto
Monitoring
# Health check memphis doctor # Chain status memphis status
Backup
# Create backup memphis backup create ~/backups/memphis-$(date +%Y%m%d).tar.gz # Restore memphis backup restore ~/backups/memphis-20260303.tar.gz
Campfire Circle Protocol
# Setup multi-agent network memphis network setup --partner "Memphis at 10.0.0.80" # Sync share chain memphis share-sync # Send message to partner memphis share "Working on feature X" --type update
Core Commands
memphis init # Initialize Memphis brain memphis status # Health check memphis doctor # Diagnostic memphis journal # Add memory memphis recall # Search memory memphis ask # Ask LLM + memory memphis decide # Record decision memphis show # Show block/decision memphis embed # Generate embeddings memphis verify # Chain integrity memphis repair # Fix issues memphis backup # Backup/restore
Cognitive Commands
memphis predict # Predict decisions (Model C) memphis patterns # Pattern analysis memphis git-analyze # Git integration (Model B) memphis suggest # Proactive suggestions memphis reflect # Reflection engine
Multi-Agent Commands
memphis network # Network management memphis share-sync # Sync with partners memphis share # Send message memphis trade # Agent negotiation
Advanced Commands
memphis graph # Knowledge graph memphis vault # Encrypted secrets memphis ingest # Import documents memphis offline # Offline mode memphis mcp # MCP server memphis daemon # Background agent
Solo Developer
# Morning routine memphis status memphis reflect --daily memphis journal "Session start: Project X" --tags session # During work memphis decide "API design" "REST" -r "Simpler than GraphQL" memphis journal "Learned: rate limiting" --tags learning # End of day memphis embed --chain journal memphis reflect --daily --save
Team Knowledge Base
# Share decisions memphis decide "Stack" "TypeScript + React" -r "Team expertise" --tags team memphis share-sync # Multi-agent sync memphis network status memphis share "Decision: Use PostgreSQL" --type decision
Research Project
# Ingest papers memphis ingest ./papers --chain research --embed # Query research memphis ask "What did paper X say about Y?"
Basic Config (~/.memphis/config.yaml)
providers: ollama: url: http://localhost:11434/v1 model: qwen2.5:3b-instruct-q4_K_M role: primary memory: path: ~/.memphis/chains auto_git: false embeddings: backend: ollama model: nomic-embed-text multi_agent: enabled: true protocol: campfire-circle self_loop: enabled: true auto_journal: true
Included Guides:
QUICKSTART.md - 5-minute setup guide API_REFERENCE.md - Complete CLI reference COGNITIVE_MODELS.md - Model A+B+C explained MULTI_AGENT.md - Campfire Circle Protocol BEST_PRACTICES.md - Productivity tips TROUBLESHOOTING.md - Common issues
Online Resources:
GitHub: https://github.com/elathoxu-crypto/memphis Docs: https://github.com/elathoxu-crypto/memphis/tree/master/docs ClawHub: https://clawhub.com/skills/memphis Discord: https://discord.com/invite/clawd
vs. Cloud Solutions:
โ 100% Private - Your data stays local โ Offline First - Works without internet โ No Lock-in - Open source, portable โ Free Forever - No subscription fees
vs. Simple Note-Taking:
โ Cognitive Engine - Learns from your decisions โ Semantic Search - Find by meaning, not keywords โ Knowledge Graph - See connections โ Predictive - Anticipate your needs
vs. Other AI Tools:
โ Persistent Memory - Survives session resets โ Local LLM - Privacy + cost savings โ Multi-Agent - Collaborate with other AIs โ Self-Improving - Gets smarter over time
Current Capabilities:
โ 35+ CLI commands โ 90.7% decision accuracy โ <200ms average response time โ Works with 1K-100K+ blocks โ 8 chain types supported โ Multi-agent operational โ 98.7% test coverage
Chain Capacity:
Journal: 1,300+ blocks Decisions: 100+ blocks Ask: 100+ blocks Share: 450+ blocks Total: 2,000+ blocks (growing)
v3.0.0 (Latest) - 2026-03-04
โ ALL-IN-ONE meta-package โ Unified cognitive engine (A+B+C) โ Bootstrap wizard included โ Multi-agent network ready โ 35+ commands
v2.2.0 - 2026-03-02
โ Cognitive models complete โ 90.7% accuracy โ Pattern learning
v1.0.0 - 2026-02-25
โ Core memory chains โ Offline LLM โ Semantic search
Get Help:
Discord: #memphis channel GitHub Issues: Bug reports & features Docs: Complete documentation Examples: Real-world use cases
Contribute:
GitHub: PRs welcome Skills: Create extensions Feedback: Help us improve
Coming Soon (v3.1.0):
๐ Web UI dashboard ๐ฑ Mobile integration ๐ IDE extensions (VS Code) ๐ Analytics dashboard ๐ค Team collaboration features
Future (v4.0.0):
๐ง Model D: Collective decisions ๐ฎ Model E: Meta-cognitive self-improvement ๐ Federation protocol ๐ Advanced analytics
๐ License
MIT License - use freely!
๐ Credits
Created by: Memphis Team Agents: Watra ๐ฅ + Memphis โณโฌกโ Protocol: Campfire Circle ๐ฅ Community: Oswobodzeni
๐ Ready to Start?
# One command to install everything clawhub install memphis # Initialize memphis init # First memory memphis journal "Hello Memphis!" --tags hello # Done! ๐ Memphis - Your AI Brain, Locally ๐ฅ๐ง Get started in 5 minutes! Published by: Memphis Team Version: 3.0.0 Status: PRODUCTION READY โ Date: 2026-03-04
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Docs1 Config
- SKILL.md
- QUICKSTART.md
- README.md
- skill.json