'persistent' 검색 결과

Helps build AI agents in .NET with persistent conversation threads. Covers messages, execution status, streaming responses, document search, and custom function calls using Azure.AI.Agents.Persistent, with examples for creating agents and cleaning up resources.

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• Build an AI assistant that retains conversation threads
• Answer questions using uploaded documents
• Connect an agent to custom functions

Azure AI Agents Persistent SDK for Java workflow skill. Use this skill when the user needs Azure AI Agents Persistent SDK for Java. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

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Azure.AI.Agents.Persistent (.NET) workflow skill. Use this skill when the user needs Azure AI Agents Persistent SDK for .NET. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

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Helps configure persistent storage for GKE applications, including disk selection, storage requests, shared files through Filestore, and volume expansion. It also explains how disk compatibility and zone placement affect workload scheduling.

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• Creating persistent storage for a GKE application
• Sharing files across multiple Pods with Filestore
• Expanding an existing storage volume

Azure.AI.Agents.Persistent (.NET) workflow skill. Use this skill when the user needs Azure AI Agents Persistent SDK for .NET. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools 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.

Azure AI Agents Persistent SDK for Java workflow skill. Use this skill when the user needs Azure AI Agents Persistent SDK for Java. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools 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.

Generate Kubernetes YAML files that define how applications run, connect, receive configuration, and use persistent storage. Include resource limits, health checks, security settings, labels, and validation guidance for production-oriented deployments.

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• Creating Deployment and Service manifests
• Separating configuration with ConfigMaps and Secrets
• Defining persistent storage for applications

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.

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

Azure AI Agents Persistent SDK for Java. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools. Triggers: "PersistentAgentsClient", "persistent agents java", "agent threads java", "agent runs java", "streaming agents java".

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Azure AI Agents Persistent SDK for .NET. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools. Use for agent CRUD, conversation threads, streaming responses, function calling, file search, and code interpreter. Triggers: "PersistentAgentsClient", "persistent agents", "agent threads", "agent runs", "streaming agents", "function calling agents .NET".

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Azure AI Agents Persistent SDK for Java. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools. Triggers: "PersistentAgentsClient", "persistent agents java", "agent threads java", "agent runs java", "streaming agents java".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Azure AI Agents Persistent SDK for .NET. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools. Use for agent CRUD, conversation threads, streaming responses, function calling, file search, and code interpreter. Triggers: "PersistentAgentsClient", "persistent a...

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Design a persistent multi-agent workflow in Claude Code, with specialist roles, reusable commands, file-based memory, and scheduled tasks. Keep project context and decisions across sessions using JSON and Markdown files without an external database.

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• Coordinate specialist agents for development and writing
• Preserve project context across sessions
• Schedule recurring morning briefings

Publish a folder of static HTML and assets to the configured Paperclip S3/CloudFront host. Validate the folder before upload, obtain a persistent public URL, and update an existing page from its original publishing directory.

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• Sharing a static report through a persistent URL
• Publishing an HTML prototype or viewer
• Checking a site's structure and URL before publishing

Manage Omni Skills, plugins, and persistent memory from the command line. Find and install skills, run them with supplied input, inspect execution history, and maintain saved information alongside plugin installations.

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• Finding and installing skills by category or tag
• Running skills and reviewing execution history
• Installing plugins and creating plugin scaffolds

Create and manage persistent Azure AI agents from Java. Covers conversation threads that retain messages, agent execution, status checks, response retrieval, and cleanup, using preview SDK examples with guidance on authentication and cloud resource handling.

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• Building a Java app with reusable AI agents
• Managing conversation threads and messages
• Checking execution states and handling timeouts

Recommends additional treatments for patients with persistent overt hypercortisolism after initial surgical intervention for Cushing's syndrome. Trigger phrases include "post-op CS patient shows ongoing hypercortisolism," "persistent overt hypercortisolism after TSS," and "elevated UFC or midnight salivary cortisol following surgery."

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코드 구조와 처리 흐름, 성능 차이를 대화형 시각 자료로 설명합니다. OpenClaw 대시보드에 관련 지표와 표를 지속적으로 표시할 수 있습니다.

• 코드 구조와 데이터 흐름 설명
• 실측 성능 결과 비교
• UI 시제품을 조작하며 확인

Create and review Docker development environments, including service networking, persistent storage, and security settings. Also guides isolated testing of command-line installers on Linux, while identifying checks that require native macOS or Windows environments.

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• Set up a local app, database, and Redis stack
• Review container networking and persistent storage
• Harden Dockerfile and Compose security settings

Set up recurring work in Claude Code by combining persistent memory, scheduled prompts, task queues, and optional computer control. The skill explains how to connect these components, including external scheduling for work that continues after a session closes.

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• Reviewing pull requests at regular intervals
• Collecting and summarizing research findings daily
• Preparing meeting notes from saved context

Search persistent claude-mem memories to recover past decisions, solutions, and work history. Review compact search results, surrounding context, and selected details, or let the tool handle these steps automatically for a clear query.

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• Recall decisions from earlier sessions
• Find solutions to previously resolved problems
• Review work history before a handoff

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.

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

Coordinate specialized AI agents under a lead coordinator for research, development, and review. Configure voting rules, share persistent knowledge, assign tasks, monitor progress, and pause or resume sessions through Claude Flow.

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• Divide application development among specialized agents
• Research and compare GraphQL and REST
• Coordinate reviewers for a pull request

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