Cherry Studio-style knowledge base system for DeepSeek Harness (DSH): bases, documents, chunking, embeddings (OpenAI-compatible / Ollama / local / lexical fallback), retrieval, model-facing tools, and a browser management panel

Evidence-first deep reading for AI agents — trace claims, evidence, confidence and knowledge maps across articles, books and PDFs.

Installable DSH bundle: the dsh-plugin-guide plugin-development knowledge base as an on-demand agent skill. Official docs archive (EN/ZH), Cordis primer, 114-repo community archive, 1654 archived Discussions, 20+ battle-tested pitfalls.

DSH plugin: auto-upload conversation progress to Tencent IMA (daily note + Work knowledge base), mirroring the local Claude Code ima-upload workflow

Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.

A portable memory protocol for AI agents — load it as standing rules; a curation discipline + reference spec + optional cap hook.

Native DeepSeek Harness tools for an Obsidian wiki vault: wiki_query, wiki_write, and wiki_lint implement the mechanical core (path routing, delta tracking, index/log bookkeeping, health checks) of the wiki skill suite.

Obsidian 零成本同步：iPhone ↔ Mac，GitHub 自动备份。本地优先 + 长期积累。｜Local First. Zero-cost Obsidian sync across iPhone, Mac & GitHub. Let knowledge grow over time.