113 results
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
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
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.
Persistent 5-layer memory system for DeepSeek Harness (entry injection, relevance retrieval, agent tools, and LLM-backed auto-extraction).
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。
Local knowledge bases with explicit, source-backed retrieval for DeepSeek Harness Web.
Reproducible local experiment matrices for DSH profiles
KnowLP-RAG: dual knowledge-graph retrieval for Markdown notes — DeepSeek Harness (dsh) bundle: MCP server + native Cordis plugin
Benchmark-driven self-evolution plugin for DeepSeek Harness: evaluate, optimize, snapshot, accept or roll back.
Deterministic, CI-safe golden-output evaluation for DeepSeek Harness
An elevated Plugin list for DeepSeek Harness Web Settings — trust tiers, collapsible groups, and complete per-plugin detail
Notebook Knowledge Studio — NotebookLM-like local knowledge workspace for DeepSeek Harness: Notebooks, Sources, source-grounded Chat with citations, and Studio artifacts (Mind Map / Reports / Flashcards / Quiz / Infographic / Slide Deck / Data Table), stored as OKF v0.2 markdown under the workspace.
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.
Thin on-demand context-retrieval layer for DeepSeek Harness: context_query / context_slice / context_grep tools over the sessionQuery and subprocess seams.
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.
Replay real DeepSeek Harness turns against Standard, Minimal, Anchored, or plugin candidates with frozen request-surface evidence
Skill-trigger evaluation: an LLM judge recreates the DSH skill catalog and measures how reliably a skill description routes matching queries.
DeepSeek Harness bundle: a Chrome browser for agents (browser_goto / browser_evaluate / browser_screenshot and 12 more) plus a no-key net search tier (browser_search / browser_fetch / Reddit tools, ported from pi-lynx) with a live two-way pane inside the DSH Web GUI. The browser engine is a fork of zenbu-labs/terminal-browser with the React Ink terminal UI replaced by a DSH tool surface and web pane.
Cross-session long-term memory for DeepSeek Harness: dual-scope SQLite memory graph, hybrid retrieval, provenance audit, and a knowledge flywheel.
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.
Two-stage intent and evidence review, deterministic completion gates, and bounded repair for DeepSeek Harness agents
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.
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.
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。