Agents & sessionsSkill
EverOS
EverMind-AI
One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
Structure check pending
agent-memoryagentic-aiaichats
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Agents & sessionsPlugin
dsh-drop-in
zhanghuqqqq/dsh-drop-in
dsh-drop-in is a tool for DeepSeek Harness. DSH plugin: drag & drop anything into the composer - local files upload with absolute-path references, web images/links download host-side, plain text inserts. Per-session .dropped/<sessionId>/ landing.
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- NaNm
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- 17 days
REVIEW SCORECARD
Review Scorecard
7.8/10Average
License compliance9.0
Engineering quality5.4
Content completeness7.0
Repository scale7.0
Maintenance activity9.0
✓ No risk detected · Automated scan results are for reference only, not an official endorsement
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Open repositoryPROJECT TOPICS
Project topics
VALIDATION LADDER
Validation progress
01Store discoveryPassed
02ClassificationPassed
03Structure checkPending
04Sandbox validationPending
FAQ
Frequently Asked Questions
What is dsh-drop-in used for?
DSH plugin: drag & drop anything into the composer - local files upload with absolute-path references, web images/links download host-side, plain text inserts. Per-session .dropped/<sessionId>/ landing.
What license does dsh-drop-in use?
dsh-drop-in is distributed under the MIT license.
Is dsh-drop-in compatible with DeepSeek Harness?
dsh-drop-in is listed in the DSH Universe directory as a tool for DeepSeek Harness. This plugin is listed in the DSH Universe directory and covered by its validation pipeline.
CLASSIFICATION EVIDENCE
Classification evidence
Project typePlugin
Feature categoryAgents & sessions
Rule confidenceMedium
The system checks GitHub Topics against the site taxonomy and keyword rules. Current matches:No valid category tags。
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Structure check pending
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Structure check pending
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Deepseek Harness, Openclaw knowledge graph memory plugin. Invited to present at Tsinghua University seminar in April 2026. Knowledge Graph + Memory；Knowledge Graph Context Engine for OpenClaw — extracts structured triples from conversations, compresses context 75%, enables cross-session experience reuse
Structure check pending
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