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adiytharpansa
adiytharpansaCOMMUNITY
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permanent-memory

Persist and retrieve long-term memory across sessions for an AI agent.

Updated Apr 14, 2026
Search Tags:#search#memory#ai-agent#consolidation#daily-notes#long-term
One-click install
npx skills add https://github.com/adiytharpansa/openclawuserland --skill permanent-memory
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: permanent-memory
Source: https://github.com/adiytharpansa/openclawuserland/tree/main/skills/permanent-memory
Command: npx skills add https://github.com/adiytharpansa/openclawuserland --skill permanent-memory

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Skill ini menyediakan sistem ingatan terstruktur untuk agen agar bisa mengingat informasi penting lintas sesi dan menjaga konsistensi perilaku serta preferensi pengguna.

Core Features & Use Cases

  • Penyimpanan ingatan jangka panjang ke MEMORY.md (catatan terkurasi).
  • Pencatatan harian di memory/YYYY-MM-DD.md untuk log harian.
  • Pencarian memori lama dan konsolidasi catatan harian menjadi ingatan jangka panjang.
  • Heartbeat dan pelacakan status untuk menjaga konsistensi ingatan.

Quick Start

Mulai dengan menyimpan entri ingatan menggunakan scripts/save-memory.sh atau buat catatan harian hari ini dengan scripts/daily-note.sh.

Frequently Asked Questions about permanent-memory

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I persist long-term memory for an AI agent across sessions?▼

To persist long-term memory across sessions, save curated user information and decisions into a structured MEMORY.md file. This ensures the AI agent retains important context and maintains consistent behavior over time.

What is the best way to consolidate daily notes into long-term memory for an AI agent?▼

Consolidating daily notes into long-term memory involves processing logs from dated files and merging durable facts into a curated MEMORY.md file. This workflow distills daily events into persistent agent knowledge.

How does an AI agent search and retrieve old memory entries from daily logs?▼

An AI agent searches old memory entries by querying stored daily notes and structured memory files. This retrieval process allows the agent to reference past user information and historical decisions accurately.

Can I use shell scripts to automate daily note creation and memory saving?▼

You can automate daily note creation and memory saving using provided shell scripts like daily-note.sh and save-memory.sh. These scripts handle structured storage by automatically generating date-stamped log files.

Does this long-term memory system expose stored secrets or sensitive user data?▼

The long-term memory system enforces safe handling to avoid exposing secrets. It stores user preferences and decisions securely without compromising sensitive data during memory search or consolidation workflows.

Why does an AI agent need heartbeat checks for cross-session memory tracking?▼

Heartbeat checks maintain memory consistency by periodically verifying the status of stored entries. This tracking ensures long-term memory remains accurate and accessible for the AI agent across different sessions.

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