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-prompt-optimizer
xinmo114514/dsh-prompt-optimizer
dsh-prompt-optimizer is a tool for DeepSeek Harness. ✨ DSH persistent Web plugin: one click next to the input box rewrites vague requirements into super prompts executable by AI agents. Reuses the currently selected model, exploration-first protocol + Skills awareness, rainbow marquee border and input lock, auto-loads on restart. MIT open source.
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- 50 days
REVIEW SCORECARD
Review Scorecard
7.5/10Average
License compliance9.0
Engineering quality5.4
Content completeness7.0
Repository scale7.0
Maintenance activity8.0
✓ No risk detected · Automated scan results are for reference only, not an official endorsement
PROJECT READMEREADMEExpandCollapse
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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-prompt-optimizer used for?
✨ DSH persistent Web plugin: one click next to the input box rewrites vague requirements into super prompts executable by AI agents. Reuses the currently selected model, exploration-first protocol + Skills awareness, rai
What license does dsh-prompt-optimizer use?
dsh-prompt-optimizer is distributed under the MIT license.
Is dsh-prompt-optimizer compatible with DeepSeek Harness?
dsh-prompt-optimizer 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 confidenceHigh
The system checks GitHub Topics against the site taxonomy and keyword rules. Current matches:prompt-engineering、prompt-optimizer。
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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
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