Memphis - Complete AI Brain 🔥
Transform any OpenClaw agent into a fully-functional cognitive partner in 5 minutes!
⚡ 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).
🎯 ALL-IN-ONE Package (v3.0.0)
What's Included:
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🚀 Quick Start (5 minutes)
1. Install (30 sec)
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2. Initialize (2 min)
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3. First Memory (1 min)
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4. First Decision (1 min)
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5. Predict (30 sec)
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✅ Done! Memphis is ready!
🧠 Core Features
1. Memory Chains (Persistent Storage)
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2. Decision Tracking
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3. Knowledge Graph
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4. Encrypted Vault
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🚀 Cognitive Engine (Models A+B+C)
Model A: Conscious Decisions
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Model B: Inferred Decisions
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Model C: Predictive Decisions
# Predict next decisions
memphis predict
# Enable learning
memphis predict --learn
# View patterns
memphis patterns show
🛠️ Management Features
Auto-Repair
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Monitoring
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Backup
# Create backup
memphis backup create ~/backups/memphis-$(date +%Y%m%d).tar.gz
# Restore
memphis backup restore ~/backups/memphis-20260303.tar.gz
🌐 Multi-Agent Network
Campfire Circle Protocol
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📊 CLI Commands (35+)
Core Commands
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Cognitive Commands
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Multi-Agent Commands
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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
🎨 Use Cases
Solo Developer
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Team Knowledge Base
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Research Project
# Ingest papers
memphis ingest ./papers --chain research --embed
# Query research
memphis ask "What did paper X say about Y?"
🔧 Configuration
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
📚 Documentation
Included Guides:
- - QUICKSTART.md - 5-minute setup guide
- APIREFERENCE.md - Complete CLI reference
- COGNITIVEMODELS.md - Model A+B+C explained
- MULTIAGENT.md - Campfire Circle Protocol
- BESTPRACTICES.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
🏆 Why Memphis?
vs. Cloud Solutions:
- - ✅ 100% Private - Your data stays local
- ✅ Offline First - Works without internet
- ✅ No Lock-in - Open source, portable
- ✅ Free Forever - No subscription fees
vs. Simple Note-Taking:
- - ✅ Cognitive Engine - Learns from your decisions
- ✅ Semantic Search - Find by meaning, not keywords
- ✅ Knowledge Graph - See connections
- ✅ Predictive - Anticipate your needs
vs. Other AI Tools:
- - ✅ Persistent Memory - Survives session resets
- ✅ Local LLM - Privacy + cost savings
- ✅ Multi-Agent - Collaborate with other AIs
- ✅ Self-Improving - Gets smarter over time
📊 Stats & Performance
Current Capabilities:
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Chain Capacity:
Journal: 1,300+ blocks
Decisions: 100+ blocks
Ask: 100+ blocks
Share: 450+ blocks
Total: 2,000+ blocks (growing)
🔄 Version History
v3.0.0 (Latest) - 2026-03-04
- - ✅ ALL-IN-ONE meta-package
- ✅ Unified cognitive engine (A+B+C)
- ✅ Bootstrap wizard included
- ✅ Multi-agent network ready
- ✅ 35+ commands
v2.2.0 - 2026-03-02
- - ✅ Cognitive models complete
- ✅ 90.7% accuracy
- ✅ Pattern learning
v1.0.0 - 2026-02-25
- - ✅ Core memory chains
- ✅ Offline LLM
- ✅ Semantic search
🤝 Community & Support
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
🎯 What's Next?
Coming Soon (v3.1.0):
- - 🌐 Web UI dashboard
- 📱 Mobile integration
- 🔌 IDE extensions (VS Code)
- 📊 Analytics dashboard
- 🤝 Team collaboration features
Future (v4.0.0):
- - 🧠 Model D: Collective decisions
- 🔮 Model E: Meta-cognitive self-improvement
- 🌍 Federation protocol
- 📈 Advanced analytics
📝 License
MIT License - use freely!
🙏 Credits
Created by: Memphis Team
Agents: Watra 🔥 + Memphis △⬡◈
Protocol: Campfire Circle 🔥
Community: Oswobodzeni
🚀 Ready to Start?
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Memphis - Your AI Brain, Locally 🔥🧠
Get started in 5 minutes!
Published by: Memphis Team
Version: 3.0.0
Status: PRODUCTION READY ✅
Date: 2026-03-04
Memphis - 完整AI大脑 🔥
5分钟内将任何OpenClaw智能体转变为功能完备的认知伙伴!
⚡ 什么是Memphis?
Memphis = 智能体 + 大语言模型 + 记忆链 + 决策 + 预测
一个本地优先的AI大脑,具备持久记忆链、离线大语言模型集成和完整认知能力(有意识决策、推断决策和预测决策)。
🎯 一体化包 (v3.0.0)
包含内容:
📦 Memphis v3.0.0
├── 🧠 核心大脑 (v3.0.0)
│ ├── 日志(捕获记忆)
│ ├── 回忆(语义搜索)
│ ├── 问答(大语言模型驱动问答)
│ ├── 决策(决策追踪)
│ ├── 保险库(加密密钥)
│ ├── 图谱(知识图谱)
│ └── 嵌入(向量搜索)
│
├── 🚀 认知引擎 (v3.0.0)
│ ├── 模型A:记录决策(手动)
│ ├── 模型B:检测决策(基于Git)
│ ├── 模型C:预测决策(AI驱动)
│ ├── 模式学习(90.7%准确率)
│ └── 主动建议
│
├── 🛠️ 设置与管理 (v2.0.0)
│ ├── 引导向导(5分钟设置)
│ ├── 自循环能力
│ ├── 自动修复系统
│ ├── 链监控
│ └── 备份自动化
│
└── 🌐 多智能体网络 (v1.0.0)
├── 篝火圈协议
├── 共享链同步(IPFS)
├── 多智能体协作
└── 智能体协商
🚀 快速开始(5分钟)
1. 安装(30秒)
bash
clawhub install memphis
2. 初始化(2分钟)
bash
交互式设置向导
memphis init
或使用身份快速设置
memphis init --identity 你的智能体 --role 助手 --location 本地主机
3. 第一条记忆(1分钟)
bash
创建你的第一条记忆
memphis journal 你好Memphis!我是你的第一条记忆! --tags first,hello
搜索你的记忆
memphis ask 我的第一条记忆是什么? --provider ollama
4. 第一个决策(1分钟)
bash
记录一个有意识决策
memphis decide 框架选择 React \
--options React|Vue|Angular \
--reasoning 最佳生态系统和社区支持 \
--tags tech,frontend
5. 预测(30秒)
bash
查看基于模式的预测决策
memphis predict
启用学习模式
memphis predict --learn
✅ 完成!Memphis已就绪!
🧠 核心功能
1. 记忆链(持久存储)
bash
日志 - 捕获一切
memphis journal 已学习:TypeScript泛型 --tags learning,typescript
memphis journal 与团队开会讨论项目X --tags meeting,project-x
回忆 - 语义搜索
memphis recall TypeScript --top 20
问答 - 大语言模型驱动问答
memphis ask 我学到了关于TypeScript的什么? --provider ollama
2. 决策追踪
bash
记录决策
memphis decide 数据库 PostgreSQL \
--options PostgreSQL|MongoDB|SQLite \
--reasoning 需要ACID事务 \
--tags architecture,database
查看决策
memphis show decision 1
列出所有决策
memphis decisions
3. 知识图谱
bash
从链构建图谱
memphis graph build
探索连接
memphis graph show --chain journal --limit 10
4. 加密保险库
bash
初始化保险库
memphis vault init --password-env MEMPHIS
VAULTPASSWORD
添加密钥
memphis vault add openai-key sk-xxx --password-env MEMPHIS
VAULTPASSWORD
获取密钥
memphis vault get openai-key --password-env MEMPHIS
VAULTPASSWORD
🚀 认知引擎(模型A+B+C)
模型A:有意识决策
bash
手动记录决策
memphis decide 使用TypeScript TypeScript -r 更好的类型安全
模型B:推断决策
bash
从Git提交自动检测
memphis git-analyze --auto-decide
审查建议
memphis review --pending
模型C:预测决策
bash
预测下一个决策
memphis predict
启用学习
memphis predict --learn
查看模式
memphis patterns show
🛠️ 管理功能
自动修复
bash
验证链完整性
memphis verify
自动修复问题
memphis repair --auto
监控
bash
健康检查
memphis doctor
链状态
memphis status
备份
bash
创建备份
memphis backup create ~/backups/memphis-$(date +%Y%m%d).tar.gz
恢复
memphis backup restore ~/backups/memphis-20260303.tar.gz
🌐 多智能体网络
篝火圈协议
bash
设置多智能体网络
memphis network setup --partner Memphis at 10.0.0.80
同步共享链
memphis share-sync
向伙伴发送消息
memphis share 正在处理功能X --type update
📊 CLI命令(35+)
核心命令
memphis init # 初始化Memphis大脑
memphis status # 健康检查
memphis doctor # 诊断
memphis journal # 添加记忆
memphis recall # 搜索记忆
memphis ask # 询问大语言模型+记忆
memphis decide # 记录决策
memphis show # 显示区块/决策
memphis embed # 生成嵌入
memphis verify # 链完整性
memphis repair # 修复问题
memphis backup # 备份/恢复
认知命令
memphis predict # 预测决策(模型C)
memphis patterns # 模式分析
memphis git-analyze # Git集成(模型B)
memphis suggest # 主动建议
memphis reflect # 反思引擎
多智能体命令
memphis network # 网络管理
memphis share-sync # 与伙伴同步
memphis share # 发送消息
memphis trade # 智能体协商
高级命令
memphis graph # 知识图谱
memphis vault # 加密密钥
memphis ingest # 导入文档
memphis offline # 离线模式
memphis mcp # MCP服务器
memphis daemon # 后台智能体
🎨 使用场景
独立开发者
bash
早晨例行
memphis status
memphis reflect --daily
memphis journal 会话开始:项目X --tags session
工作中
memphis decide API设计 REST -r 比GraphQL更简单
memphis journal 已学习:速率限制 --tags learning
一天结束
memphis embed --chain journal
memphis reflect --daily --save
团队知识库
bash
共享决策
memphis decide 技术栈 TypeScript + React -r 团队专长 --tags team
memphis share-sync
多智能体同步
memphis network status
memphis share 决策:使用PostgreSQL --type decision
研究项目
bash
导入论文
memphis ingest ./papers --chain research --embed
查询研究
memphis ask 论文X关于Y说了什么?
🔧 配置
基本配置 (~/.memphis/config.yaml)
yaml
providers:
ollama:
url: http://localhost:11434/v1
model: qwen2.5:3b-instruct-q4
KM
role: primary
memory:
path: ~/.memphis/chains
auto_git: false
embeddings:
backend: ollama
model: nomic-embed