Ultimate AI agent memory system. Combines bulletproof WAL protocol, vector search, git based knowledge graphs, cloud backup, and maintenance hygiene. Never lose context again. For Clawdbot, Moltbot, Claude, GPT agents.
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npx skills add nextfrontierbuilds/elite-longterm-memory --skill elite-longterm-memoryThe ultimate memory system for AI agents. Combines 6 proven approaches into one bulletproof architecture.
Never lose context. Never forget decisions. Never repeat mistakes.
┌─────────────────────────────────────────────────────────────────┐
│ ELITE LONGTERM MEMORY │
├─────────────────────────────────────────────────────────────────┤
│ │
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │
│ │ HOT RAM │ │ WARM STORE │ │ COLD STORE │ │
│ │ │ │ │ │ │ │
│ │ SESSION- │ │ LanceDB │ │ Git-Notes │ │
│ │ STATE.md │ │ Vectors │ │ Knowledge │ │
│ │ │ │ │ │ Graph │ │
│ │ (survives │ │ (semantic │ │ (permanent │ │
│ │ compaction)│ │ search) │ │ decisions) │ │
│ └─────────────┘ └─────────────┘ └─────────────┘ │
│ │ │ │ │
│ └────────────────┼────────────────┘ │
│ ▼ │
│ ┌─────────────┐ │
│ │ MEMORY.md │ ← Curated long-term │
│ │ + daily/ │ (human-readable) │
│ └─────────────┘ │
│ │ │
│ ▼ │
│ ┌─────────────┐ │
│ │ SuperMemory │ ← Cloud backup (optional) │
│ │ API │ │
│ └─────────────┘ │
│ │
└─────────────────────────────────────────────────────────────────┘
From: bulletproof-memory
Active working memory that survives compaction. Write-Ahead Log protocol.
## SESSION-STATE.md — Active Working Memory
## Current Task
[What we're working on RIGHT NOW]
## Key Context
- User preference: ...
- Decision made: ...
- Blocker: ...
## Pending Actions
- [ ] ...
Rule: Write BEFORE responding. Triggered by user input, not agent memory.
From: lancedb-memory
Semantic search across all memories. Auto-recall injects relevant context.
## Auto-recall (happens automatically)
memory_recall query="project status" limit=5
## Manual store
memory_store text="User prefers dark mode" category="preference" importance=0.9
From: git-notes-memory
Structured decisions, learnings, and context. Branch-aware.
## Store a decision (SILENT - never announce)
python3 memory.py -p $DIR remember '{"type":"decision","content":"Use React for frontend"}' -t tech -i h
## Retrieve context
python3 memory.py -p $DIR get "frontend"
From: Clawdbot native
Human-readable long-term memory. Daily logs + distilled wisdom.
workspace/
├── MEMORY.md # Curated long-term (the good stuff)
└── memory/
├── 2026-01-30.md # Daily log
├── 2026-01-29.md
└── topics/ # Topic-specific files
From: supermemory
Cross-device sync. Chat with your knowledge base.
export SUPERMEMORY_API_KEY="your-key"
supermemory add "Important context"
supermemory search "what did we decide about..."
NEW: Automatic fact extraction
Mem0 automatically extracts facts from conversations. 80% token reduction.
npm install mem0ai
export MEM0_API_KEY="your-key"
const { MemoryClient } = require('mem0ai');
const client = new MemoryClient({ apiKey: process.env.MEM0_API_KEY });
// Conversations auto-extract facts
await client.add(messages, { user_id: "user123" });
// Retrieve relevant memories
const memories = await client.search(query, { user_id: "user123" });
Benefits:
cat > SESSION-STATE.md << 'EOF'
## SESSION-STATE.md — Active Working Memory
This file is the agent's "RAM" — survives compaction, restarts, distractions.
## Current Task
[None]
## Key Context
[None yet]
## Pending Actions
- [ ] None
## Recent Decisions
[None yet]
---
*Last updated: [timestamp]*
EOF
In ~/.clawdbot/clawdbot.json:
{
"memorySearch": {
"enabled": true,
"provider": "openai",
"sources": ["memory"],
"minScore": 0.3,
"maxResults": 10
},
"plugins": {
"entries": {
"memory-lancedb": {
"enabled": true,
"config": {
"autoCapture": false,
"autoRecall": true,
"captureCategories": ["preference", "decision", "fact"],
"minImportance": 0.7
}
}
}
}
}
cd ~/clawd
git init # if not already
python3 skills/git-notes-memory/memory.py -p . sync --start
## Ensure you have:
## - MEMORY.md in workspace root
## - memory/ folder for daily logs
mkdir -p memory
export SUPERMEMORY_API_KEY="your-key"
## Add to ~/.zshrc for persistence
memory_search for relevant prior contextmemory_store with importance=0.9memory_recall query="*" limit=50memory_forget id=<id>Write-Ahead Log: Write state BEFORE responding, not after.
| Trigger | Action |
|---|---|
| User states preference | Write to SESSION-STATE.md → then respond |
| User makes decision | Write to SESSION-STATE.md → then respond |
| User gives deadline | Write to SESSION-STATE.md → then respond |
| User corrects you | Write to SESSION-STATE.md → then respond |
Why? If you respond first and crash/compact before saving, context is lost. WAL ensures durability.
User: "Let's use Tailwind for this project, not vanilla CSS"
Agent (internal):
1. Write to SESSION-STATE.md: "Decision: Use Tailwind, not vanilla CSS"
2. Store in Git-Notes: decision about CSS framework
3. memory_store: "User prefers Tailwind over vanilla CSS" importance=0.9
4. THEN respond: "Got it — Tailwind it is..."
## Audit vector memory
memory_recall query="*" limit=50
## Clear all vectors (nuclear option)
rm -rf ~/.clawdbot/memory/lancedb/
clawdbot gateway restart
## Export Git-Notes
python3 memory.py -p . export --format json > memories.json
## Check memory health
du -sh ~/.clawdbot/memory/
wc -l MEMORY.md
ls -la memory/
Understanding the root causes helps you fix them:
| Failure Mode | Cause | Fix |
|---|---|---|
| Forgets everything | memory_search disabled |
Enable + add OpenAI key |
| Files not loaded | Agent skips reading memory | Add to AGENTS.md rules |
| Facts not captured | No auto-extraction | Use Mem0 or manual logging |
| Sub-agents isolated | Don't inherit context | Pass context in task prompt |
| Repeats mistakes | Lessons not logged | Write to memory/lessons.md |
If you have an OpenAI key, enable semantic search:
clawdbot configure --section web
This enables vector search over MEMORY.md + memory/*.md files.
Auto-extract facts from conversations. 80% token reduction.
npm install mem0ai
const { MemoryClient } = require('mem0ai');
const client = new MemoryClient({ apiKey: process.env.MEM0_API_KEY });
// Auto-extract and store
await client.add([
{ role: "user", content: "I prefer Tailwind over vanilla CSS" }
], { user_id: "ty" });
// Retrieve relevant memories
const memories = await client.search("CSS preferences", { user_id: "ty" });
memory/
├── projects/
│ ├── strykr.md
│ └── taska.md
├── people/
│ └── contacts.md
├── decisions/
│ └── 2026-01.md
├── lessons/
│ └── mistakes.md
└── preferences.md
Keep MEMORY.md as a summary (<5KB), link to detailed files.
| Problem | Fix |
|---|---|
| Forgets preferences | Add ## Preferences section to MEMORY.md |
| Repeats mistakes | Log every mistake to memory/lessons.md |
| Sub-agents lack context | Include key context in spawn task prompt |
| Forgets recent work | Strict daily file discipline |
| Memory search not working | Check OPENAI_API_KEY is set |
Agent keeps forgetting mid-conversation: → SESSION-STATE.md not being updated. Check WAL protocol.
Irrelevant memories injected: → Disable autoCapture, increase minImportance threshold.
Memory too large, slow recall: → Run hygiene: clear old vectors, archive daily logs.
Git-Notes not persisting:
→ Run git notes push to sync with remote.
memory_search returns nothing:
→ Check OpenAI API key: echo $OPENAI_API_KEY
→ Verify memorySearch enabled in clawdbot.json
Built by @NextXFrontier — Part of the Next Frontier AI toolkit
| Путь | Размер | SHA256 |
|---|---|---|
| README.md | 5593 | 17c0c112c1363fe9... |
| SKILL.md | 12615 | 15d09a9413ff6fe4... |
| bin/elite-memory.js | 4875 | a937f5aab36c4b6e... |
| package.json | 1167 | d6b3707bfda174ba... |
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