This skill allows the Agent to interact with MemOS Cloud APIs for memory search, addition, deletion, and feedback.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionmemos-cloud-serverExecute the skills CLI command in your project's root directory to begin installation:
Fetches memos-cloud-server from memtensor/memos-cloud-skill and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate memos-cloud-server. Access via /memos-cloud-server in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
0
total installs
0
this week
1
GitHub stars
0
upvotes
Run in your terminal
0
installs
0
this week
1
stars
This skill allows the Agent to interact with MemOS Cloud APIs for memory search, addition, deletion, and feedback.
Before executing any API operations, you (the Agent) must ensure the following environment variables are configured:
MEMOS_API_KEY (MemOS Cloud Service API Key) and MEMOS_USER_ID (Unique identifier for the current user) must be configured.~/.zshrc or ~/.bashrc).You can execute operations directly via the memos_cloud.py script. The script automatically reads the MEMOS_API_KEY environment variable. All operation requests and responses are output in JSON format.
/v1/search/memory)Search for long-term memories relevant to the user's query.
Usage:
python3 skills/memos-cloud-server/memos_cloud.py search <user_id> "<query>" [--conversation-id <id>]
Example:
python3 skills/memos-cloud-server/memos_cloud.py search "$MEMOS_USER_ID" "Python related project experience"
/v1/add/message)Used to store high-value content from multi-turn conversations to the cloud.
conversation_id: Required. The ID of the current conversation.messages: Required. Must be a valid JSON string containing a list with role and content fields.Usage:
python3 skills/memos-cloud-server/memos_cloud.py add_message <user_id> <conversation_id> '<messages_json_string>'
Example:
python3 skills/memos-cloud-server/memos_cloud.py add_message "$MEMOS_USER_ID" "topic-123" '[{"role":"user","content":"I like apples"},{"role":"assistant","content":"Okay, I noted that"}]'
/v1/delete/memory)Delete stored memories on the cloud. According to the API spec, memory_ids is strictly required.
Usage:
# Delete by Memory IDs (comma-separated)
python3 skills/memos-cloud-server/memos_cloud.py delete "id1,id2,id3"
/v1/add/feedback)Add feedback regarding a conversation to correct or reinforce memory in the cloud.
Usage:
python3 skills/memos-cloud-server/memos_cloud.py add_feedback <user_id> <conversation_id> "<feedback_content>" [--allow-knowledgebase-ids "kb1,kb2"]
Example:
python3 skills/memos-cloud-server/memos_cloud.py add_feedback "$MEMOS_USER_ID" "topic-123" "The previous answer was not detailed enough"
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
microsoft/GitHub-Copilot-for-Azure
microsoft/azure-skills
microsoft/GitHub-Copilot-for-Azure
github/awesome-copilot
davila7/claude-code-templates
wshobson/agents
memos-cloud-server is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
I recommend memos-cloud-server for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in memos-cloud-server — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Useful defaults in memos-cloud-server — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Keeps context tight: memos-cloud-server is the kind of skill you can hand to a new teammate without a long onboarding doc.
memos-cloud-server is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
memos-cloud-server is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in memos-cloud-server — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
memos-cloud-server is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: memos-cloud-server is the kind of skill you can hand to a new teammate without a long onboarding doc.
showing 1-10 of 74