'memo' 검색 결과

Design AI agents and chatbots in n8n, choosing suitable nodes and connecting models, tools, conversation memory, and structured JSON output. Includes guidance on document retrieval and human approval before tool execution.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building a chatbot with conversation memory
• Connecting external tools to an AI agent
• Returning data in a defined JSON format

Build AI agents that retain conversation history, user preferences, and useful interaction patterns with AgentDB. The skill covers persistent storage, meaning memories survive between sessions, plus retrieval, context management, and ReasoningBank integration.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add conversation history to a chat system
• Remember user preferences across sessions
• Reuse patterns from successful interactions

Find saved knowledge in BB and preserve verified procedures, decisions, and preferences for future conversations. Keep project details separate from general preferences, inspect relevant records, and update or remove information when it changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find procedures saved in earlier conversations
• Save verified project decisions and workarounds
• Keep preferences separate by project or global scope

Check CPU cores, GPUs, available memory, and disk space before demanding computing tasks. Save a JSON report with recommendations for parallel workers, GPU use, and processing data in chunks when memory is limited.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking memory before analyzing large datasets
• Identifying available GPUs before model training
• Choosing worker counts for parallel file processing

Set up Acontext so Claude Code or OpenClaw can retain conversations and turn them into reusable skills. Covers CLI installation, login, project selection, plugin configuration, and checks that the configured service is reachable.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Set up conversation memory for Claude Code
• Connect Acontext to OpenClaw
• Create or switch an Acontext project

LangChain memory integration including ConversationBufferMemory, ConversationSummaryMemory, and vector-based memory

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Prepare and manage durable MEX team handoffs in git-native project memory. Use when the user asks to hand work to a person or team, prepare an end-of-session handoff, save what the next engineer needs, create a MEX Relay, take or close a Relay, or invokes /mex-relay or $mex-relay. Keywords: mex, project memory, relay, handoff, team memory, Claude Code, Codex. Treat Relay as a memory baton, not chat, notifications, task assignment, issue tracking, or a Jira replacement; do not activate for ordinary status messages that are not durable handoffs.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Store and recall with Supermemory: add memories and documents, hybrid search, upload files, tune settings. Trigger phrases: supermemory, memory engine, remember this.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Work with Letta agent memory: list agents, read core-memory blocks, list or add archival passages, create blocks, message an agent to record memory. Trigger phrases: letta, agent memory, core memory.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when reviewing a DataFusion Comet pull request that touches memory pools, memory reservations, spilling, the Spark TaskMemoryManager bridge, allocators, or memory-related configuration. Load alongside review-comet-pr.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

在当前目录下初始化记忆系统，生成 CLAUDE.md（可选 AGENT.md 给 Cursor 用）、MEMORY.md 和 memory/ 目录。当用户说"初始化记忆"、"搭建记忆"、"memory init"、"/memory-init"时触发。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Maintain bounded, durable AI project memory in a repository's docs/ai/ pack. Use when Codex or Claude Code needs to create, read, update, or audit project memory (project-card, architecture, diagrams, runbook, handoff, gotchas, ADRs), install AGENTS.md memory rules, or sync a lightweight central LLM Wiki project entity for user-owned projects.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Rules for when an agent should recall from long-term memory before acting and when it should save decisions, corrections and failures afterwards. Works with any memory backend.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Agent Memory Systems workflow skill. Use this skill when the user needs "Memory is the cornerstone of intelligent agents. Without it, every and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Agent Memory Skill workflow skill. Use this skill when the user needs A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions) and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Expert guide for long-term episodic memory integration (Mem0 v2, Letta/MemGPT, Zep v2), memory tier architecture, pgvector HNSW storage, and unified context management for autonomous AI agents / Panduan ahli untuk integrasi memori episodik jangka panjang (Mem0 v2, Letta/MemGPT, Zep v2), arsitektur tier memori, penyimpanan pgvector HNSW, dan manajemen konteks terpadu untuk agen AI otonom.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when a human asks to audit memory, find stale or duplicate memories, or needs tidy's ICM-state audit. Not for writing new memories: use memory-update.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when the user asks to sanitize memory for sharing, redact PII, or scan memory for credentials. Not for auditing memory: use memory-clean.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when the user explicitly says to save something to memory or scan this session for memories. Not for auditing memory: use memory-clean.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

分析 PyTorch memory snapshot pickle 文件（_dump_snapshot 导出的内存快照），提供内存峰值、碎片、泄漏、OOM 检测与交互式 HTML 报告。仅当用户明确提及 memory snapshot、内存快照、_dump_snapshot、pickle 内存文件 或需要对 snapshot pickle 做内存分析时才触发，不处理一般的 NPU 性能分析、SQLite 查询或通用内存问题。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Agent assistance skill that provides stuck detection, memory management, and session learning capabilities for AI agents Trigger terms: agent stuck, loop detected, session memory, agent learning, condense memory, stuck detection, agent memory, session learnings, extraction Use when: User reports agent is stuck, looping, or needs memory/learning management

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Hunts for fileless and in-memory threats by correlating PowerShell script-block logs, encoded-command usage, in-memory loading patterns, and registry-resident payloads from Windows telemetry. Activates for requests to hunt fileless malware, detect in-memory execution, or find registry-resident and reflective-loading activity.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Analyzes a memory image with Volatility 3 to find malware: rogue processes, injected code, suspicious network connections, loaded modules, and persistence, then extracts artifacts for further analysis. Activates for requests to do memory forensics, analyze a RAM dump, or hunt malware in memory with Volatility.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Detects process injection in a memory image by identifying private executable regions with no file backing, RWX protections, and modified entry points using Volatility 3 malfind-style analysis. Activates for requests to detect process injection, find injected code in memory, or triage suspicious executable regions in a memory image.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.