dsh-schematic
Human-and-agent control plane for DeepSeek Harness — visualize live wiring, trace activity, and safely automate plugin blueprints.
308 results
Human-and-agent control plane for DeepSeek Harness — visualize live wiring, trace activity, and safely automate plugin blueprints.
本地优先的 Harness 运行遥测插件:记录请求、模型、工具与插件生命周期指标(延迟、Token、成本、错误、缓存),默认不采集内容。Local-first Harness telemetry plugin for DeepSeek Harness. npm 包 dsh-local-telemetry(dsh-telemetry 名已被第三方占用)。
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。
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。
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。
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。
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。
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。
第一个 zvec 原生情报站:刷到的信息自动沉淀(采集/文件夹/网页/笔记),agent 语义+关键词混合检索带出处,零守护进程、零 API key、文档不出本机;支持 Obsidian 反哺与定时自动化
DeepSeek Harness plugin: discovers the npm/pnpm/yarn/bun scripts of the current workspace (never descending into node_modules) and runs any of them in the background from a compact control in the composer area or the session header.
DeepSeek Harness tool plugin: scaffold, validate, and version Obsidian plugins.
Seven host-side policy plugins for DeepSeek Harness, composed through DSH's vendored Cordis runtime. Installable as a dsh bundle: dsh plugin --profile <name> add <this package>. Pinned upstream: deepseek-ai/deepseek-harness @ d347e703908d0406b7a7ef80e3a0e594d86b2215.
Insight dock for the DSH Web GUI: lets an agent park a short, strictly-bounded side observation while it works, shows it above the composer, and lets the user ask to hear it later — with a context anchor that survives context compaction.
Local-first self-observability for DeepSeek Harness: record real events, project them onto five observation axes (MEL/ROI/ARCTIC/TSA/RRI), store them in local SQLite, and watch MEL x RRI on a right-side panel.
Observational memory for DeepSeek Harness: background observers distill session work into observations and durable reflections, so long sessions survive compaction with their decisions intact.
Health monitoring, pressure scoring, maintenance scheduling and action decisions for DeepSeek Harness. It never restarts anything itself.
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。
MCP management console for the official DeepSeek Harness MCP client: /mcp command with health diagnostics and pipeline trial calls, a Settings MCP tab with server CRUD (append-only profile-patch fragments, approval-gated writes with automatic backups), a
DSH client plugin — flip to the back of the page for a floating glass task console: live background jobs, subagents, session overview and workspace of the current session, with mouse-draggable and mouse-resizable cards (bottom-right handle, size persisted per card). Maximizing a card unrolls its controls onto the card's own canvas, where every control is a draggable, editable item and the board card stays a live thumbnail whose control order follows that arrangement; built-in cards open as a fullscreen view. The top-right card conversation calls a temporary agent session to refactor each card's style and internal controls from natural language, and any conversation can author cards via [taskcard] blocks (text/heading/note/stats/progress/trend/kv/links/chips/checklist/counter/button/table/code/toggle/countdown/bars/image/embed). Embedded web apps can be marked 受控 and routed through the bundled local page bridge (bridge/server.mjs), which injects an agent into the page so the workbench — and the agent — can click, type, scroll and read inside it through [page] action blocks; the app height is dragged on its bottom edge, accurate on the zoomed canvas too. Cards can be published as copies onto a fullscreen infinite canvas with named boards, share strings and a zero-dependency WebSocket relay for multi-user editing, and a right-hand dock renders the project's archify architecture diagram (embedded, sandboxed, resizable).
Request Context Profiler for DeepSeek Harness — see what changed between model requests, and how cache reuse changed with it.