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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

Set up the OpenViking long-term memory plugin for OpenClaw through conversation. The skill handles installation, configuration, and verification so chat facts can be saved and relevant memories recalled across sessions, using an existing OpenViking server.

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• Add long-term memory to OpenClaw
• Recall saved facts across chat sessions
• Separate memories by assistant or sender

Connect agentmemory to coding agents such as Claude Code and Codex while preserving existing server settings. It guides configuration, host restarts, and checks that memory tools are available and can save and retrieve information.

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• Connecting agentmemory to a coding agent
• Checking supported agents and connection methods
• Investigating an incorrect configuration path

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.

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

Diagnose missing recall, failed captures, and connection errors in the OpenViking memory plugin for Codex. Check installation, configuration, authentication, and server readiness, then use the findings to guide fixes and verify that memory works again.

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• Investigate missing recall or unsaved conversations
• Check plugin status after installation or updates
• Diagnose 401 and 403 authentication errors

Install and configure the memory-tencentdb plugin for OpenClaw to retain and retrieve conversation information. Verify the setup through logs and searches, adjust memory settings, and troubleshoot missing recall or vector search results.

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• Enable long-term memory in OpenClaw
• Adjust recall and retention settings
• Investigate saved memories that cannot be retrieved

Install or remove memU long-term memory for the agent in use. The skill selects the host-specific guide, configures scheduled memory recording and retrieval before answers, and verifies the setup with local or cloud storage.

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• Adding long-term memory to an AI agent
• Setting up memory stored on the current device
• Connecting an agent to MemU Cloud

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.

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

通过检查ECC的现有文件，查找适合任务的技能与命令，指导安装、重置和项目配置，并协助调查重复安装及安装位置，明确下一步操作。

• 查找适合任务的技能和命令
• 确认安装与重置步骤
• 为现有项目制定安装计划

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

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.

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

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.

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

Set up or check claude-mem memory syncing with cmem.ai Pro. Follow installer-based sign-in, verify the cloud connection, and review device details, pending writes, the last successful upload, and errors without sharing tokens in chat.

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• Set up memory syncing with cmem.ai Pro
• Check the cloud connection and pending writes
• Investigate sync errors

Check a Ruflo installation for common environment and configuration problems, then run automatic repairs. The checks cover software versions, background services, the memory database, API keys, MCP servers, disk space, and TypeScript.

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• Checking the environment after installing Ruflo
• Diagnosing configuration and connection problems
• Repairing the memory database

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.

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Guided setup for sharing moflo's durable learnings through a git-tracked artifact — for a whole TEAM on one repo, OR for one person across several MACHINES (a team of one). Use when the user says "share learnings with my team", "commit our moflo memory", "sync memory across my laptop and desktop", "set up memory.team_artifact", "auto-export learnings on every PR", or "learnings.jsonl keeps conflicting". Installs a pre-commit hook so the artifact rides along in every commit. An existing learnings.jsonl moves to the conflict-free layout automatically. For many worktrees on ONE machine, use /memory-worktree.

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Find the QwenPaw documentation and source files most relevant to a question. This skill maps topics such as installation, configuration, skills, and memory to likely reading paths, helping an agent focus its investigation.

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• Finding installation and configuration references
• Locating documentation for skills and MCP
• Tracing memory and multi-agent behavior

Find relevant QwenPaw documentation and source files for questions about setup, configuration, skills, memory, and other features. It maps question keywords to likely file paths so the agent can read and verify the right material.

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• Find documentation for installation or configuration questions
• Locate source files related to skills or memory
• Identify where to investigate errors or CLI behavior

Add GBrain memory to an existing agent or connect a hosted brain while preserving current instructions and identity. Start with storage and keyword search that need no API key, then verify saving, retrieval, and recall across conversations.

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• Add memory to an existing Claude Code or Codex agent
• Connect an agent to a hosted brain
• Diagnose an incomplete installation while preserving memory

Extend a NanoClaw agent's own environment with packages, external tools, or specialist agents. The skill chooses the workflow for each change, edits memory and standing instructions, and delegates source changes to a builder for review.

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• Adding an external tool for reading RSS feeds
• Installing persistent system or global npm packages
• Updating memory or standing behavior instructions

Finish a NanoClaw v1-to-v2 migration after the migration script completes. The skill checks real message routing, assigns owner access, coordinates legacy memory migration, reviews container settings, and helps decide how to carry over customizations.

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• Finish follow-up work after the v2 migration script
• Review owner permissions and sender access
• Migrate legacy memory and check container settings

Find the Wren CLI workflow for answering data questions, connecting databases or SaaS sources, generating model definitions, adding business metrics, or building a shareable analytics app. Guides are retrieved from the installed CLI version.

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• Set up Wren and connect a database
• Load HubSpot or Stripe data through dlt
• Generate model definitions and add business metrics

Check the Convex version installed in a project, then consult matching documentation and package type definitions to confirm API details, available exports, and command options before implementing changes or fixing version mismatch errors.

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• Check an API against the installed Convex version
• Investigate missing exports or changed command options
• Find documentation for an installed component

Install Acontext, Login & Init Acontext Project, Add Skill Memory to Agent.

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