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 & sessionsInfrastructure
dshelm
Altairpaca/dshelm
dshelm is a tool for DeepSeek Harness. DSHelm — an explainable multi-model scheduling layer for DeepSeek Harness. Chinese-first, DSH-native, evidence-backed.
- Stars
- 6
- Forks
- 0
- Issues
- 0
- Update
- 45 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 checkNot applicable
04Sandbox validationNot applicable
FAQ
Frequently Asked Questions
What is dshelm used for?
DSHelm — an explainable multi-model scheduling layer for DeepSeek Harness. Chinese-first, DSH-native, evidence-backed.
How popular is dshelm?
dshelm has 6 stars and 0 forks on GitHub, last updated 2026-08-19.
What license does dshelm use?
dshelm is distributed under the Apache-2.0 license.
Is dshelm compatible with DeepSeek Harness?
dshelm 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 typeInfrastructure
Feature categoryAgents & sessions
Rule confidenceHigh
The system checks GitHub Topics against the site taxonomy and keyword rules. Current matches:agent-distribution、coding-agent、agent-orchestration、multi-agent。
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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
claude-codecodexdeepseekdeepseek-harness