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-orchestrator
EricJiang0423/dsh-orchestrator
dsh-orchestrator is a tool for DeepSeek Harness. Local-first issue board for DeepSeek Harness: board data, model-facing tools, a fresh-agent planning loop, and a human approval queue for agent-proposed issues.
- Stars
- 1
- Forks
- 0
- Issues
- 0
- Update
- 48 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-orchestrator used for?
Local-first issue board for DeepSeek Harness: board data, model-facing tools, a fresh-agent planning loop, and a human approval queue for agent-proposed issues.
How popular is dsh-orchestrator?
dsh-orchestrator has 1 stars and 0 forks on GitHub, last updated 2026-08-15.
What license does dsh-orchestrator use?
dsh-orchestrator is distributed under the Apache-2.0 license.
Is dsh-orchestrator compatible with DeepSeek Harness?
dsh-orchestrator 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:agent-orchestration。
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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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