'memo' 검색 결과

Hermes에서 사용자 취향과 사실을 대화 간에 기억하도록 Honcho 설치·설정·문제 조사를 돕습니다. 기억 조회 방식과 여러 프로필 설정도 다룹니다.

• 클라우드 또는 자체 호스팅 기억 기능 설정
• 기억 누락 및 프로필 동기화 문제 조사
• 여러 프로필에서 사용자 정보 공유

Store project knowledge and design decisions in persistent memory that AI agents can search and read. New findings sync automatically to Markdown documentation, while usage statistics help you inspect the memory bank.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Save architecture decisions for later tasks
• Find previously recorded implementation patterns
• Keep agent memory synced with project documentation

Draft a Confidential Information Memorandum, a detailed company document for prospective buyers in an M&A sale. Organize business, market, customer, and financial information into a Word document with charts and a separate Excel financial appendix.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Drafting a company memorandum for prospective buyers
• Organizing company materials for an M&A sale
• Explaining investment strengths with supporting data

Diagnose OpenViking memory problems by checking plugin installation, client settings, server connections, and recent activity. The skill helps trace missing recalled context, failed saves, and authentication errors, then guides targeted fixes and checks whether they worked.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating missing recalled context
• Checking whether conversation records were saved
• Troubleshooting 401 or 403 authentication errors

Use OpenViking through OpenClaw to manage long-term memories, search archived conversations, and find imported resources or Agent Skills. Inspect recall traces to understand search results and recover full tool outputs stored outside the conversation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recall past preferences and decisions
• Find exact commands in archived conversations
• Import and search documents or Agent Skills

Explore unfamiliar code with Codebase Memory to map architecture, trace function calls and dependencies, and assess change impact. Findings are checked against source files, with index freshness and coverage considered before drawing conclusions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Understanding an unfamiliar codebase
• Tracing function callers and dependencies
• Assessing the impact of code changes

Investigate malicious code placed inside legitimate Windows processes using memory analysis, event logs, and API monitoring. Identify injection methods, examine extracted code, and produce evidence reports and detection rules for suspicious process behavior.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating unexpected connections from legitimate processes
• Finding injected code in memory dumps
• Classifying process hollowing and other injection methods

Investigate Windows malware that runs in memory or abuses legitimate system tools. Use logs, registry entries, and memory dumps to trace persistence, identify suspicious activity, and produce detection rules and an analysis report.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating suspicious PowerShell activity
• Checking WMI persistence mechanisms
• Finding malicious code in memory dumps

Integrate Flash Attention into transformer models to reduce processing time and GPU memory use for long sequences. Covers PyTorch integration, advanced attention options, and benchmarks that compare speed, memory use, and output accuracy.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Speeding up transformer training on long sequences
• Reducing GPU memory use during attention
• Adding Flash Attention to a PyTorch model

Add persistent memory to NanoClaw agents using the default Claude provider. With mnemon installed in the container, agents retrieve relevant context before responding and save new insights after each turn, retaining memory across container restarts.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recalling earlier conversations in a new session
• Keeping agent memory across container restarts
• Checking memory hooks and storage settings

Trace a file, function, or line through Git history to the agent session linked to its commit. It presents recorded commit details, session summaries, and important observations to help explain the change.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating why a particular line changed
• Finding the agent session behind a function change
• Checking a file's latest commit and author

Save facts, decisions, and discoveries to agentmemory for future sessions. The skill preserves the user's wording, adds specific search tags and referenced file paths, and confirms which terms can retrieve the saved knowledge.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preserving a decision for future sessions
• Saving a discovery with related file paths
• Updating a previously saved fact

Record founder-approved decisions with chosen options, success measures, stop conditions, and dissent. Keep approved decisions separate from discussion transcripts so future advisory sessions use confirmed choices, with a review scheduled after 90 days.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recording an approved management decision
• Preserving dissent and stop conditions
• Scheduling a decision review after 90 days

Search an agent's long-term memory for people, projects, and other facts. Save important corrections immediately, update outdated entries, and remove errors or duplicates while respecting which notebooks the current conversation can read or change.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recall a person's role or current work
• Save facts that should be remembered later
• Correct outdated or inaccurate information

Structure a student's legal case memo with IRAC: issue, rule, application, and conclusion. Identify research gaps and relevant facts while leaving the student's analysis and conclusions to them, with support adjusted to the supervisor's teaching mode.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Structuring a legal case analysis memo
• Listing gaps before starting legal research
• Organizing facts to address in the analysis

Save established decisions, project facts, failed approaches, and system architecture to Atlas shared memory. The skill checks existing entries to avoid duplicates and creates self-contained records that other agents and future sessions can use.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Carry decisions and their reasons into future sessions
• Share project facts and conventions with other agents
• Record failed approaches to avoid repeating them

Review an agent's saved context and unread coordination messages at the start of a task. Summarize relevant assignments, move handled messages aside, and prompt the agent to preserve lasting decisions and outcomes before finishing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Resume work using context saved in a previous session
• Check new messages and assignments for an agent
• Preserve decisions and outcomes for the next session

Recall earlier work and organize lasting preferences, project facts, outcomes, and lessons. The skill distinguishes concise memory from original records, reusable procedures that belong in skills, and recurring requests that need scheduled tasks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Resume earlier work using remembered context
• Save lasting preferences and project conventions
• Find exact wording and evidence in past records

Write and review .NET calls to native C/C++ libraries using P/Invoke. Covers function declarations, string conversion, memory ownership, and platform differences to help investigate crashes, memory leaks, and corrupted data.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create .NET declarations from C/C++ headers
• Investigate crashes and memory leaks in native calls
• Review string encoding and memory ownership

Teaches when to recall from long-term memory before acting and when to save durable decisions, corrections and failures afterwards. Use when a memory tool or MCP memory server is connected but the agent is not using it consistently, when the user complains that the assistant forgets preferences, conventions or past decisions between sessions, or when setting up persistent memory for a project. Works with any memory backend: a folder of Markdown files, a local MCP server, or a managed service.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

[omh] Project fact to remember across future sessions: capture one bounded durable project or product memory candidate through explicit remember, refuse, or defer review; for a past decision use decision-recall. Use when the user says: memory-new, new memory, project memory, product memory, remember this project, remember this product, do not save, do not save this token.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when adding Memory Events, Memory Tickets, memory-map.json, vault-references.json, PM Soul memory ownership, or Memory Curator routing to an agent repo.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Guides the 7-step MATLAB memory optimization workflow: baseline, profile, identify, optimize, measure, verify, report. Use when asked to reduce MATLAB memory usage, find memory bottlenecks, fix out-of-memory errors, or optimize memory-intensive code.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Give an AI agent persistent, cross-session long-term memory through MindMemOS. Covers installing and authenticating the mindmemos CLI, the full command interface (add / search / get / update / delete / feedback / dreaming) with parameters and examples, guidance on which capability to use when, plus a Python SDK example. To wire memory into a specific agent host (OpenClaw, DeepSeek Harness, Codex, Claude, etc.), see references/.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.