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-workspace-cleaner
mashengwei567/dsh-workspace-cleaner
dsh-workspace-cleaner is a tool for DeepSeek Harness. DeepSeek Harness (DSH) plugin: workspace cleanup entry under the sidebar New Session button - per-workspace analysis with cleanup suggestions, one-click close workspace and clear its sessions
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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-workspace-cleaner used for?
DeepSeek Harness (DSH) plugin: workspace cleanup entry under the sidebar New Session button - per-workspace analysis with cleanup suggestions, one-click close workspace and clear its sessions
What license does dsh-workspace-cleaner use?
dsh-workspace-cleaner is distributed under the MIT license.
Is dsh-workspace-cleaner compatible with DeepSeek Harness?
dsh-workspace-cleaner 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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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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