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 & sessionsSkill
dsh-self-improved
madage/dsh-self-improved
dsh-self-improved is a tool for DeepSeek Harness. DeepSeek Harness long-term memory & self-evolving plugin: L0 capture -> L1 memory extraction -> L2 scene grouping -> L3 user persona, auto recall injection + skill synthesis, fully local.
- Stars
- 8
- Forks
- 0
- Issues
- 2
- Update
- 76 days
REVIEW SCORECARD
Review Scorecard
7.7/10Average
License compliance9.0
Engineering quality5.4
Content completeness8.0
Repository scale7.0
Maintenance activity8.0
✓ No risk detected · Automated scan results are for reference only, not an official endorsement
AI DEEP REVIEW
Worth AI Review
7.8/10Recommended
A well-engineered, fully local memory and self-evolution plugin for DSH with thorough milestone tracking and honest inst
Code quality8
README documents unit tests, headless integration tests, and end-to-end verification across milestones M0-M6, plus a strict JSON validation/fallback pipeline, indicating solid engineering rigor.
Security7
The plugin is explicitly fully local with SQLite storage and states 'No data is uploaded anywhere', though no independent audit or permission details are provided.
Utility9
It addresses the common agent pain point of cross-session memory and self-evolution via a four-layer memory pyramid, recall injection, and skill synthesis.
Maintenance8
Last updated 2026-08-15 with all milestones M0-M6 marked complete and deployed to a real web profile, indicating active, ongoing development.
Documentation7
The README covers architecture, roadmap, three install options, and detailed troubleshooting for peerDependency and duplicate loader issues, but the install command is listed as unknown and usage examples are sparse.
Generated by AI after reading the project README — a decision aid, not an endorsement. Neutral scores are given when information is limited.
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-self-improved used for?
DeepSeek Harness long-term memory & self-evolving plugin: L0 capture -> L1 memory extraction -> L2 scene grouping -> L3 user persona, auto recall injection + skill synthesis, fully local.
How popular is dsh-self-improved?
dsh-self-improved has 8 stars and 0 forks on GitHub, last updated 2026-08-15.
What license does dsh-self-improved use?
dsh-self-improved is distributed under the MIT license.
Is dsh-self-improved compatible with DeepSeek Harness?
dsh-self-improved 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 typeSkill
Feature categoryAgents & sessions
Rule confidenceHigh
The system checks GitHub Topics against the site taxonomy and keyword rules. Current matches:skill-synthesis、agent-memory、long-term-memory、memory、privacy、sqlite。
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🥇 The strongest free web search plugin for DeepSeek Harness, and the search bridge for every model without native web access. Free, no signup, no API key. Ask the web or X, get structured JSON evidence. | 🥇 The strongest free web search plugin for DeepSeek Harness across the web, free with no signup and no API key. Adds search for models without web access; ask the web or X and get structured JSON evidence (search, scrape, cite).
Validation record available
agent-skillsagentic-workflowclaude-codeclaude-skills