Plugins

OpenViking memory and context bundle for DeepSeek Harness: pre-step auto-recall and profile injection, session capture, `viking://` URI guarding, and recall/write memory tools backed by an OpenViking server.

Connects dsh to a local SandBase Harness runtime over stdio MCP for managing agents and sessions, streaming turns, inspecting artifacts and cancelling work.

Mounts 88 packaged research, social-intelligence, marketing and business Agent Skills into dsh through the filesystem Skill provider.

You.com agent skill provider and MCP setup for DeepSeek Harness (dsh), registered via ctx.skills

Anatomy panel for the Agent-Body organs: serves a live vitals dashboard at /anatomy inside the harness itself - organs, heartbeat, healing ledger, self-training counters and the real pulse stream - read straight from the runtime files rather than retyped. Host-only, no client bundle and no build step.

Zero-residence context engine: large tool payloads are evicted out of the live context into a queryable store and only deterministic pointers are left behind, so per-turn prompt tokens stop growing with the transcript. Any masked content is reconstructed verbatim from the session log on demand, by tool-call id or session seq.

The organ kernel of Agent-Body: plugins organized as one body. Each command is turned into a nerve impulse that deterministically innervates the organ which should handle it and names the capability to use; a heartbeat with a variable interval (faster on alerts, slower when idle) pumps operator directives, proprioception and homeostasis warnings system-wide; reflex arcs fire with zero model calls; failures go through deterministic attribution (missing tool / arguments / permission / timeout / network), a prescription, and a re-check loop, with argument errors never auto-retried. A missing organ is compensated by the one with the highest capability overlap, and tool schemas are gated by the current intent (84.7% measured reduction, reproducible in-repo). This entry is the kernel plugin package inside the agent-body repository.

The memory organ of Agent-Body: after 2 minutes of silence it enters light sleep and after 5 minutes deep sleep, where deterministic rules distil real experience into memory cards (pitfalls, playbooks, hotspots, unresolved issues, facts). Incoming commands recall related cards by keyword and inject them into context; cards unused for long decay on a half-life and are archived rather than deleted. It also de-noises body-wide homeostasis warnings: repeats inside a window are counted instead of re-printed, and a warning that keeps recurring without ever healing converges into a known steady-state offset and goes quiet. Consolidation and recall make no model calls.

Embedded C/C++ firmware development toolbox: agents and skills covering FreeRTOS, interrupts, NVM storage, Keil MDK, ARMCLANG, HardFault triage, state machines, architecture, and LVGL patterns.

Install suites from any Claude Code, Codex, Cursor, Kimi or agent-plugins.org git marketplace repo — skills, MCP servers, hooks and slash commands are injected into DSH sessions at runtime, with a market page in the Web GUI.

Plugin coordination layer: plugins declare their capabilities, commands route to the owning plugin without a model call, tool schemas load on demand to cut prompt tokens, run history consolidates into long-term memory while idle, and failures are classified before any retry.

NeatMem long-term memory plugin for DeepSeek Harness — thin REST client against a neatmem server

Smart subagent routing and evolution: bind roles to any provider/model registered in DSH, including models supplied by Codex and Claude Code provider plugins, with workspace learning.

DSH side of the dsh-ecolink memory ecosystem: bridges chat.deepseek.com and DeepSeek Harness through a browser extension that harvests DSM-format memory tags and injects recalled memories into web chats, a zero-dependency local service that writes a shared memory pool, and this adapter, which injects memories pre-step and offers /ecolink-push write-back; compression is transactional (staging pool with commit/rollback).

Manage Git-backed DSH plugin markets, installed agent skills and optional Codex hooks from the web settings page.

Claim-verification skill that checks design documents and plans against codebase facts, escalating behavioral claims to executable logic-primitive verification for state machines and data models, with before/after regression, domain constraints, and concurrency risk mining.

dsh-ecolink DSH 适配层:直读本地记忆池、pre-step 注入(打分+预算+会话去重)、#记忆名 过滤,打通网页端记忆生态

Route each task to one model and its review to a different one, with qualification evidence, failover and a durable journal.

Drag-and-drop file upload into the conversation composer, token usage pill with quota tracking, and session archive management — a three-in-one daily-driver addon.

Self-learning loop for dsh: record lessons, draft and promote skills, periodic curator review that corrects, consolidates, and retires skills.

Token usage and cost metering for dsh: per-session and aggregate statistics with configurable pricing and reports.

Security and governance for dsh: rule-based tool denial, full tool-call audit trail, and governance reports.

Native A2A (Agent-to-Agent) server for dsh: expose this dsh as a callable agent over HTTP with JSON-RPC tasks.

DSH 插件：读写钉钉 AI 表格（多维表 / aitable），并提供「钉钉文档」设置面板与定时导出。包装钉钉官方 dws CLI。 Read and write DingTalk AI Tables from DeepSeek Harness, with a settings panel and scheduled CSV export.