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.
Adkid-Zephyr/Liltloom
Liltloom is a tool for DeepSeek Harness. Yuzhi: a Chinese-first, user-controlled AI writing style memory layer that lets AI learn your expression and recall it when needed. Chinese-first style memory for AI; DeepSeek Harness adapter included.

REVIEW SCORECARD
✓ No risk detected · Automated scan results are for reference only, not an official endorsement
AI DEEP REVIEW
A well-documented, Chinese-first style memory plugin with strong user data control and active maintenance, worth install
README shows CI badge, TypeScript, pnpm check script, versioned JSON schema, and a structured spec/manual-testing.md, indicating engineering rigor.
Local-first design with explicit opt-in for high-risk features, secret filtering, and DELETE-confirmation data wipe, though no independent security audit is visible.
Solves a real pain point for Chinese writers who repeatedly re-prompt AI to mimic their style, with a portable, user-owned memory layer.
Last updated 2026-08-14 with active CI, releases, and versioned adapter targeting DSH 0.1.0-rc.5/rc.6, indicating ongoing development.
Bilingual README with install steps, command reference, data model table, UI screenshots, and a linked manual testing guide make usage clear.
Generated by AI after reading the project README — a decision aid, not an endorsement. Neutral scores are given when information is limited.
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Open repositoryPROJECT TOPICS
VALIDATION LADDER
FAQ
Yuzhi: a Chinese-first, user-controlled AI writing style memory layer that lets AI learn your expression and recall it when needed. Chinese-first style memory for AI; DeepSeek Harness adapter included.
Liltloom has 4 stars and 0 forks on GitHub, last updated 2026-08-14.
Liltloom is distributed under the MIT license.
Liltloom 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
The system checks GitHub Topics against the site taxonomy and keyword rules. Current matches:personal-ai、personal-memory、style-memory。