'recall' 검색 결과

Use OpenViking MCP tools to retrieve relevant knowledge before substantial tasks and save lasting preferences, decisions, and lessons during or after work. Import documents as searchable resources so later tasks can draw on previous findings.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Retrieve previous fixes before debugging
• Save lasting preferences and working conventions
• Record decisions and their rationale

Turn supplied notes or a PDF and a syllabus into focused exam revision material. Extract definitions, key points, answer sentences, and practice questions, with adjustments for multiple-choice exams and limited study time, using only the provided material.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Summarizing notes by syllabus topic
• Preparing answer sentences for written exams
• Practicing recall with exam-style questions

Find and evaluate a small, compatible set of AI Agent Skills for a multi-step goal. Check existing capabilities, compare candidates for fit and safety, identify overlaps, and prepare recommendations with installation subject to user approval.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choose a set of Skills for a multi-step project
• Audit installed Skills for overlap and conflicts
• Find supporting Skills for writing quality or compliance

Operate cognee from the terminal to store, retrieve, update, and remove information. Covers dataset and configuration management, ingestion cost estimates, session history access, and commands for inspecting or applying database migrations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Storing documents and asking questions from the terminal
• Estimating token usage and cost before importing data
• Managing datasets and saved configuration

Run cognee in Docker, starting with a prebuilt image for local document ingestion and questions. It also covers Docker Compose profiles for adding the UI, MCP server, Postgres, and Neo4j, plus persistent data storage.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Try cognee locally using a prebuilt Docker image
• Test document ingestion and questions through the API
• Start the UI, MCP server, and databases with Docker Compose

Answer questions from saved gbrain knowledge using keyword, meaning-based, and relationship searches. The skill combines relevant evidence with page citations and highlights missing information, conflicting sources, or potentially outdated results.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find saved notes on a topic
• Look up connections between people and companies
• Trace events and changes through timelines

Look up people, companies, and topics in an existing knowledge base before answering. Save authorized information with source references, update related pages and timelines, and maintain links that connect each record to its context.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recall past discussions about a company
• Save new facts with source references
• Review changes across records and timelines

Move legacy NanoClaw memory and Claude auto-memory into a shared structure used across providers. The skill separates lasting facts from standing instructions, updates indexes, records each file's outcome, and verifies recall after approval.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Migrating memory after a shared-memory update
• Organizing legacy CLAUDE.md and Claude auto-memory
• Separating lasting facts from standing instructions

Operate native apps on macOS, Windows, and Linux using identified controls, menu paths, or screen coordinates. Target a specific window, verify the result after each action, and consult available recent activity when resuming work.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Operate a specific app window
• Click controls and enter text
• Adjust window positions and sizes

Guide an agent through searching past decisions before work, saving new decisions with their reasons, and treating corrections as lessons. The workflow helps distinguish useful long-term knowledge from temporary details, code facts, and routine activity already captured by hooks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking earlier decisions before starting a task
• Saving a resolved issue with its underlying reason
• Preserving lessons from corrections

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

Resume work using the latest recorded session matching the current project directory. The skill surfaces unanswered questions first, summarizes relevant decisions and files, and provides a concrete next step while checking that records belong to the selected project.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Resuming work interrupted in a previous session
• Checking an unanswered question before continuing
• Reviewing key decisions and related files

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

Turns user corrections and recurring mistakes into actionable rules with confidence scores. It records when each rule applies and why it matters, so relevant lessons can be retrieved before similar work begins.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recording a rule after a user correction
• Saving a lesson from a recurring mistake
• Keeping rules specific to one project

Helps agents choose the right agentmemory tool through MCP, a protocol for connecting agents to tools. It explains tool roles and points to parameter references for saving, retrieving, organizing, and maintaining stored knowledge.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing a tool to save or retrieve knowledge
• Checking tool names and required parameters
• Reviewing available memory management operations

Summarize recent agent sessions for the current project, grouped by date with highlights from recorded observations. Review today, the last seven days, or a chosen number of sessions, with totals for sessions, days, and observations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review today's agent work
• Recap project activity from the last seven days
• Summarize a chosen number of recent sessions

Save research findings, fixes, and decisions in a shared Markdown notebook on disk. Search and organize notes across sessions, record when they inform actual work, and let unused notes expire automatically.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Saving research findings for future sessions
• Reusing fixes for difficult bugs
• Recording design decisions and their reasoning

Design a RAG pipeline that retrieves documents to support AI answers. Analyze document splitting, select embedding models and vector databases, and evaluate retrieval quality using test queries and known relevant documents.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing a RAG system for internal documents
• Choosing how to split documents for search
• Comparing embedding models and vector databases

Find past decisions, documents, and conversations in Screenpipe recordings. Get an answer with timestamps and available source links, with clear distinctions between recorded evidence, inference, and gaps in coverage.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find the reasoning behind a past decision
• Locate a document seen earlier
• Review a conversation from a specific time

Answer business data questions with Wren CLI by checking model definitions, reusing past queries, and executing SQL or predefined aggregations. The workflow also covers query verification, error diagnosis, and saving successful queries for future use.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Analyze monthly revenue trends
• Rank customers by purchase value
• Compare metrics across plans or regions

Fetch execution traces, records of an agent’s actions, from LangSmith Studio to debug LangChain and LangGraph agents. Inspect errors, tool calls, memory operations, execution times, and token usage, or export records for further review.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating an agent failure
• Checking tool selection and execution order
• Investigating memory storage and recall

Set up, configure, update, and troubleshoot persistent memory for OpenClaw agents. The plugin stores conversations locally and supports automatic recall, task summaries, reusable skills derived from successful tasks, and a visual memory manager.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Setting up persistent memory for OpenClaw
• Updating or troubleshooting the memory plugin
• Choosing local or external memory search models

Use MemOS Local to find past conversations, preferences, and decisions, then retrieve original messages or task context. The skill also guides sharing memories and reusable procedures with local agents or a configured team.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find preferences and decisions from past conversations
• Read original messages and surrounding dialogue
• Share memories with local agents or a team

Access TeamAI workflows for sharing skills, rules, documents, and environment settings across AI coding tools. This entry skill loads version-matched guidance for team setup, synchronization, codebase knowledge, and sharing lessons from a session.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Start sharing AI settings across a team
• Sync team skills across AI coding tools
• Build or search knowledge about codebase architecture