memphis-brain
Integrate Memphis local-first brain as long-term memory for OpenClaw agents. Use when: (1) Agent needs persistent memory across sessions, (2) Journaling insights/decisions, (3) Recalling past context with semantic search, (4) Reflecting on patterns, (5) Syncing memory between agents (Watra ↔ Style), (6) Managing agent identity and workspace isolation. Auto-triggers on 'remember this', 'what did I say about', 'my preferences', 'journal', 'recall', 'reflect'.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/elathoxu-crypto/memphis-brainMemphis Brain Skill
This skill enables OpenClaw agents to use Memphis as persistent, semantic memory. Each agent gets its own chains (journal, decisions, ask) and can sync with other agents via IPFS.
1. Quick Start
Check Health
memphis status
Expected: healthy providers, chains listed, embeddings available.
Journal First Block
memphis journal "I am [agent-name], created by [user], my role is [X]" --tags identity
Embed Context
memphis embed --chain journal
2. Core Workflows
2.1 Journaling (Capture Everything)
When to journal:
- User shares important info ("remember this...")
- Agent learns something new
- Decisions are made
- Sessions start/end
- Insights discovered
Syntax:
memphis journal "text" --tags tag1,tag2
Tag conventions:
identity— who/what agent ispreferences— user/agent preferencesdecision— choice madesession— session markerslearning— new knowledgeproject:<name>— project contextshare— blocks to sync via IPFS
Examples:
# Identity
memphis journal "I prefer concise responses, avoid fluff" --tags preferences,communication
# Decision
memphis journal "Chose local-first over cloud for privacy" --tags decision,philosophy
# Learning
memphis journal "Discovered qwen2.5:3b works best for code tasks" --tags learning,models
# Session
memphis journal "Session started, working on Memphis integration" --tags session,daily
2.2 Asking Memphis (Recall)
Use semantic search to find relevant context:
memphis ask "What are my preferences for code style?" --top 20 --provider ollama
Flags:
--top N— more context (default 8, use 20 for complex queries)--provider ollama— use local model--graph— include knowledge graph edges--prefer-summaries— use condensed context--since YYYY-MM-DD— filter by date--json— machine-readable output
When to recall:
- User asks "what did I say about X?"
- Need context from previous sessions
- Checking decisions made
- Understanding user preferences
2.3 Decisions (Track Choices)
For important choices with long-term impact:
memphis decide "Title" "Choice" --options "A|B|C" --reasoning "..." --tags tag1,tag2
Example:
memphis decide "Memory Strategy" "Local-first + IPFS sync" \
--options "cloud|local|hybrid" \
--reasoning "Privacy + resilience + no vendor lock-in" \
--tags philosophy,memory
View decision:
memphis show decision <id>
2.4 Reflection (Pattern Recognition)
Run reflections to find patterns:
# Daily (quick)
memphis reflect --daily
# Weekly (comprehensive)
memphis reflect --weekly --save
# Deep (full analysis)
memphis reflect --deep --save
Reflection outputs:
- Tag frequency analysis
- Theme extraction
- Decision patterns
- Graph clusters
- Insights (stale decisions, contradictions, opportunities)
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-elathoxu-crypto-memphis-brain": {
"enabled": true,
"auto_update": true
}
}
}Related Skills
Memphis Cognitive Engine
🧠 Memphis Cognitive Engine - Complete AI Memory System Transform your OpenClaw agent into a cognitive partner with: - Model A: Record conscious decisions (manual) - Model B: Detect decisions from git (automatic) - Model C: Predict decisions before you make them (predictive) - Advanced: TUI, Knowledge Graph, Reflection, Trade Protocol, Multi-Agent Sync Production-ready with 100% working commands (17/17), zero bugs. ⚠️ IMPORTANT: This is a META-PACKAGE (documentation only). Memphis CLI must be installed separately. Quick start: clawhub install memphis-cognitive
memphis
🔥 Memphis - Complete AI Brain for OpenClaw Agents ALL-IN-ONE meta-package with everything you need: 🧠 Core Features: - Local-first memory chains (journal, recall, ask, decisions) - Offline LLM integration (Ollama, local models) - Semantic search with embeddings - Knowledge graph - Encrypted vault for secrets 🚀 Cognitive Engine (Models A+B+C): - Model A: Record conscious decisions (manual) - Model B: Detect decisions from git (automatic) - Model C: Predict decisions before you make them (predictive) - 90.7% accuracy, proactive suggestions 🛠️ Setup & Management: - Bootstrap wizard (5-minute setup) - Self-loop capability (Memphis uses itself) - Auto-repair system - Chain monitoring - Backup automation 🌐 Multi-Agent Network: - Campfire Circle Protocol - Share chain sync (IPFS) - Multi-agent collaboration - Agent negotiation (trade protocol) Perfect for: Individual developers, teams, researchers, entrepreneurs Quick start: clawhub install memphis && memphis init
Cline
Skill by elathoxu-crypto
memphis-super
🧠 Memphis Super-Agent v3.6.0 MVP - 100% Memphis Core for OpenClaw Complete Memphis 3.6.0 integration: - ALL chains (journal, ask, decisions, vault, trade, graph, reflection, ingest, ops, adr) - Semantic search & embeddings - Multi-provider LLM routing - Onboarding wizard (--clean, --nuclear) - Auto-detection (questions/decisions/insights) - Session markers (start/end) - Knowledge graph - MCP server Auto-detects: - Questions → ask block (with semantic search) - Decisions → decisions block (conscious) - Insights → journal block - Session end → summary block Perfect for: ALL OpenClaw agents seeking complete memory + cognitive powers Quick start: /memphis status