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-plugin-memory
menotbobbybrown/dsh-plugin-memory
dsh-plugin-memory is a tool for DeepSeek Harness. Persistent Knowledge Graph & Long-Term Memory Plugin for DeepSeek Harness (dsh) — Everything is a Plugin
- Stars
- 1
- Forks
- 0
- Issues
- 0
- Update
- 12 days
REVIEW SCORECARD
Review Scorecard
6.9/10Average
License compliance6.0
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
PROJECT READMEREADMEExpandCollapse
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Open repositoryINSTALL REFERENCE
Install reference
dsh plugin --profile web add "github:menotbobbybrown/dsh-plugin-memory"This command was extracted from an explicit README install reference and is display-only; the DSH host will not execute it automatically.
PROJECT TOPICS
Project topics
VALIDATION LADDER
Validation progress
01Store discoveryPassed
02ClassificationPassed
03Structure checkPending
04Sandbox validationPending
FAQ
Frequently Asked Questions
What is dsh-plugin-memory used for?
Persistent Knowledge Graph & Long-Term Memory Plugin for DeepSeek Harness (dsh) — Everything is a Plugin
How popular is dsh-plugin-memory?
dsh-plugin-memory has 1 stars and 0 forks on GitHub, last updated 2026-08-25.
Is dsh-plugin-memory compatible with DeepSeek Harness?
dsh-plugin-memory 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:knowledge-graph、memory。
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Validation record available
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Composable three-tier memory control plane for DeepSeek Harness: persistent runtime context, searchable project documents, pluggable long-term memory, guarded strategies, WebUI, and headless tools.
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