dsh-kimi-webbridge
Kimi WebBridge for DeepSeek Harness: drive the user's real browser (navigate, click, fill, snapshot, screenshot, evaluate, network, upload, PDF) through the local Kimi WebBridge daemon
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Kimi WebBridge for DeepSeek Harness: drive the user's real browser (navigate, click, fill, snapshot, screenshot, evaluate, network, upload, PDF) through the local Kimi WebBridge daemon
Conversation history recall for DeepSeek Harness: search the original text of every session (like searching chat records) — literal/fuzzy/semantic retrieval, fully local & offline. AI never forgets what you told it.
Best-of-3/5 orchestration and LLM-as-a-Verifier selection for DeepSeek Harness
Kimi WebBridge host plugin for DeepSeek Harness: model tools that drive the user's REAL browser (navigate, snapshot, click, fill, evaluate, screenshot, network inspection, tab management) through the local kimi-webbridge daemon
Skill Radar for DeepSeek Harness (dsh): scan the current session's visible skills, score their relevance against the recent conversation, and recommend which skill to load. Model tool + optional interactive panel.
Reproducible local experiment matrices for DSH profiles
Benchmark-driven self-evolution plugin for DeepSeek Harness: evaluate, optimize, snapshot, accept or roll back.
AI-driven partial wave analysis for DeepSeek Harness: physics-gated config editing, ctpwa fit execution, numeric evaluation, and goal-driven iterative convergence. Physics knowledge (PDG-2026) as pure functions; DSH integration as a thin pwa_* tool plugin.
RAGFlow knowledge-base retrieval capability for the DeepSeek Harness — the ctx.ragflow Service Definition, an HTTP Service Provider, and the model-facing ragflow_retrieve tool
Thin on-demand context-retrieval layer for DeepSeek Harness: context_query / context_slice / context_grep tools over the sessionQuery and subprocess seams.
Fifth DeepSeek Harness mode with configurable Codex, Claude Code, or DSH audits, user-approved remediation turns, progressive Cordis/skill elevation, safety pauses, and Web/TUI review controls.
dsh 插件开发知识库:DeepSeek Harness 官方文档站完整 Markdown 镜像(中英双语 184 页)+ 58 篇仓库补充开发参考 + 主题导航与 245 文件全量搜索索引;以 dsh-plugin-dev-kb 技能让 agent 在插件开发任务中自动加载定位文档。纯数据插件,零运行时依赖。
An elevated Plugin list for DeepSeek Harness Web Settings — trust tiers, collapsible groups, and complete per-plugin detail
Persistent memory for DeepSeek Harness: per-conversation notes, selective injection, project memory, semantic Vault search (bge-m3, free optional key) and automatic retrieval — agents stop forgetting.
Local knowledge bases with explicit, source-backed retrieval for DeepSeek Harness Web.
Skill-trigger evaluation: an LLM judge recreates the DSH skill catalog and measures how reliably a skill description routes matching queries.
KnowLP-RAG: dual knowledge-graph retrieval for Markdown notes — DeepSeek Harness (dsh) bundle: MCP server + native Cordis plugin
Code reference & reuse-survey plugin for DeepSeek Harness (DSH): search local code + GitHub/npm before building, evaluate reuse vs rewrite, ask the user, architecture-level reuse. 开发前检索本地与开源可复用代码并询问用户的复用调查插件。
A responsive, tabbed Ghostty terminal for the DeepSeek Harness Web UI
StyleVault — classic open-source themes + full Style Settings + shareable config packs for DeepSeek Harness.
SQL 优化模式:EXPLAIN 分析、索引策略、N+1 解决、查询改写。受 wshobson/agents(38k★ MIT)启发。
Compare multiple coding models side by side in DeepSeek Harness with isolated Git worktrees
dsh bundle: local semantic index over workspace documents (MD/PDF/DOCX/TXT) with FTS5 BM25 + local embedding hybrid retrieval, hit citations with line numbers, and incremental updates.
Evidence-first multi-model coding comparison workbench for DeepSeek Harness