'conversations' 검색 결과

배정된 Slack 봇으로 대화와 스레드를 읽고 출처 링크가 있는 요약을 작성하며 메시지와 파일을 공유합니다. Paperclip 업무 및 정기 실행과도 연계합니다.

• 채널 논의를 출처 링크와 함께 요약합니다
• 대화를 검색하고 스레드 답글을 확인합니다
• 배정된 봇으로 결과나 파일을 보냅니다

Review AI agent spending by conversation, with each session’s start time, message count, main model, and total cost. Use the results to identify expensive sessions and understand typical costs before planning longer work.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review spending across completed conversations
• Identify conversations with high costs
• Estimate typical costs before a long session

Read Slack conversations and thread replies, decide when a response is needed, and send messages, files, or reactions. Keep updates and results in the original conversation, with support for direct messages sent on the user's behalf.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reading a thread before replying
• Sharing work updates and files in the original conversation
• Sending a direct message on the user's behalf

Read Threads inboxes and conversations, summarize messages relevant to a question, and send explicitly approved messages through threads-messages-cli. You can also check message requests, reply to specific messages, and share existing published Threads posts.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review recent conversations in your Threads inbox
• Summarize a specific conversation
• Check incoming message requests

Read Instagram direct messages, search conversations by contact, keyword, or date, and review inbox folders. Send specified messages or reactions through instagram-messages-cli, with additional inbox filters available for professional accounts.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find past DMs by contact, keyword, or date
• Review unread conversations and threads needing replies
• Send a message with a specified recipient and text

Search and read Gmail conversations, retrieve attachments, and save or revise drafts. Send, reply, or forward after approval of the exact message, and organize mail with labels, archiving, trash, and supported mailing-list unsubscribe requests.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding relevant emails and reading conversations
• Saving and revising drafts in Gmail
• Sending, replying, or forwarding after approval

Design and evaluate how an AI agent remembers user preferences and history across conversations. Compare storage formats and memory frameworks, plan updates and compression, and distinguish personal memory from shared document retrieval while addressing sensitive information.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Design user memory that persists across conversations
• Compare storage formats, Mem0, and Memobase
• Evaluate recall and cross-conversation reasoning

Build real-time voice assistants in JavaScript or TypeScript using Azure AI Voice Live. Covers two-way audio streaming, authentication, speech turn detection, transcription events, and calling application functions during conversations in Node.js or browsers.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a voice assistant in Node.js
• Stream microphone audio from a browser
• Configure speech boundaries and transcription events

Build real-time voice assistants in .NET with Azure AI. Covers two-way audio communication, text and audio responses, detecting when a speaker finishes, and calling functions to connect conversations with external services.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a real-time voice assistant in .NET
• Configure voices and detect when speakers finish
• Connect voice conversations to external services

Organize articles, documents, and insights from conversations into a personal Markdown wiki. Maintain source references, links between related topics, an index, and an activity log, then answer questions using the knowledge already collected.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Save key points from articles and documents
• Preserve insights from conversations
• Find answers in accumulated knowledge

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

Build applications with GitHub Copilot SDK using Python, TypeScript, Go, or .NET. Add custom tools, display responses as they arrive, preserve conversations across restarts, and connect external tools through MCP, a protocol for connecting agents to tools.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Embed an AI assistant in an application
• Add custom tools for an agent to call
• Display generated responses as they arrive

Build image-based conversations with LLaVA, an AI model that combines image understanding with language. Covers setup, model selection, image descriptions, follow-up questions, and memory-saving options for running models on a GPU.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building a chatbot that answers questions about images
• Generating image descriptions and captions
• Exploring a scene through follow-up questions

Search past conversations to recover decisions, discussions, and context across sessions. Find related ideas by meaning, match exact terms, or locate code identifiers, with options to search only user or assistant messages through local AI Maestro tools.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recalling decisions before resuming work
• Finding discussions with different wording
• Looking up conversations about a function or class

Manage the limited information an LLM can process at once. Use importance-based summaries, selective trimming, token counting, and content placement to plan what stays in context and address information loss during long conversations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning how to handle conversations near the token limit
• Summarizing a long dialogue while preserving key information
• Reviewing the placement of important instructions and facts

Design memory systems that help AI assistants retain conversation information and retrieve it when relevant. Explore short-term, long-term, and entity memory, along with memory consolidation, prompt integration, storage lifecycle management, and separation between users.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing an assistant that remembers across conversations
• Storing and updating facts about people or other entities
• Adding relevant memories to prompts

Store conversations, agent activity, and feedback in cognee sessions, then carry them into long-term memory. This skill explains improve(), its processing stages, result statuses, and settings for diagnosing skipped work or controlling automatic runs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Saving conversations and agent activity by session
• Moving session content into long-term memory
• Investigating skipped or blocked processing stages

After explicit opt-in, captures original ideas in the user's exact words and identifies people and companies mentioned in conversations. Stores them in linked knowledge pages with sources, dated facts, and a brief capture log.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preserving ideas expressed during conversations
• Adding context to people and company pages
• Connecting ideas with related people and concepts

Prepare for the day with meeting context, unresolved conversations from yesterday, and prioritized tasks. The skill combines calendar entries with GBrain records about attendees to produce a briefing that explains what to know before each meeting.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review today's meetings and preparation needs
• Check recent interactions with meeting attendees
• Follow up on unresolved conversations from yesterday

Explore old files and email archives to rediscover personal writing, ideas, and meaningful conversations. Review selected items one at a time, save worthwhile material as organized notes, and track progress within explicitly permitted folders.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Rediscover old journals and creative writing
• Find meaningful letters and email conversations
• Recover past product and business ideas

Connect NanoClaw to Linear so an agent can respond to issue comments without mentions. The skill installs and checks the integration, guides authentication setup, and keeps each issue thread in its own conversation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Discussing Linear issues with an agent
• Keeping agent conversations separate for each issue
• Configuring comment delivery and authentication

Prepare for customer meetings with a concise brief built from Common Room data. Combine company activity, attendee profiles, and previous conversations into specific talking points, likely discussion topics, and a recommended meeting outcome.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing for a first sales conversation
• Reviewing usage and risks before a renewal meeting
• Checking attendee roles and previous conversations

Find Slack messages, files, channels, and people by choosing search terms and filters. Follow relevant results into threads and surrounding conversations to understand the context, with guidance on private searches and recent messages.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find conversations about a project's deadline
• Locate shared PDFs or spreadsheets
• Find a colleague or a relevant channel

Create competitor comparison and alternative product pages for search visibility and sales conversations. Organize verified research into page copy, comparison tables, audience recommendations, and migration guidance that help readers evaluate their options.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create a comparison page for your product and a competitor
• Write a page presenting alternatives to a competing product
• Prepare comparison content for sales conversations