Plugins

Curated file-based long-term memory for DeepSeek Harness — human-readable markdown notes, one plain-file store shared across hosts (git-ignored when it lives inside a project repo), and a deterministic index cap enforced by ctx.tools.guard()

Delegate bounded coding tasks to a headless CLI agent (WorkBuddy by default, or codex, claude, aider or a custom command) and collect a structured result plus the real diff, with a writable-path whitelist, a dispatch lock over overlapping paths, an isolated worktree and a structured needs_human flag. Requires Python 3.10+ (standard library only) and one installed CLI executor (WorkBuddy/CodeBuddy by default, or codex, claude, aider or a custom command).

Adds a Managed Agents settings tab and MCP tools to dispatch long-running agent tasks to Ark cloud Managed Agents.

Browse Claude Code, DSH and Codex session logs by working directory, with per-turn context composition, token usage, compaction markers and cost estimates.

Bounded, layered, approval-gated, auditable cross-session memory: a typed `ctx.memory` seam with a zero-dependency SQLite provider, a `memory` tool, and frozen snapshot injection, plus the dsh-memory-protocol v1 rehearsal with an adapter registry and a distributable conformance suite.

Long-term memory for DSH agents — durable, inspectable memories with recall, search, browse and knowledge-graph tools, import from ten other AI coding tools, and a settings page.

View and manage an agent’s tools and skills in a visual menu. Set each capability to Resident, On-demand, or Disabled; agents can find and use on-demand capabilities while reducing context usage.

Claude Code-style declarative permission rules: ordered allow/deny/ask YAML rules matching tool names, arguments, workspace paths, and agent identity on the tools/pre-execute waterfall, with full session-log audit, dry-run mode, and hot reload.

Profile-wide DSH governance and routing with a Web Control Center for responsibility and evidence inspection, plus compaction, scoped semantic memory, safety continuity, and verified delivery; compatible with DSH 0.1.5-rc.1.

baro as a DeepSeek Harness subagent provider: delegate a multi-story goal, get parallel execution, independent review and a verified outcome back — with a live run panel in the sidebar

Recent conversations stay vivid. Older ones fade into summaries, not oblivion. StrataGate gives DeepSeek Harness six-layer, time-decaying memory, while lasting events and relationships settle into a knowledge graph. Bring your memories from other AIs with you—no need to start over.

Runs Midscene on the models already configured in DeepSeek Harness instead of separate third-party API keys: hosts an OpenAI-compatible bridge on 127.0.0.1 (default port 8787, automatically skipping occupied ports) that proxies chat completions, streaming and non-streaming, to the DSH host model layer, so DeepSeek official routing, CodeBuddy, Codex and custom OpenAI/Anthropic endpoints all become available to Midscene agents while credentials stay inside the provider plugins and the bridge never touches them. A `/v1/midscene-env` endpoint generates the four MIDSCENE_MODEL_* environment lines with the model family inferred, and seven built-in skills — browser, desktop, Android, iOS and HarmonyOS automation plus a Vitest E2E skill and a Midscene knowledge reference — appear in the session skill catalog without `npx skills add`. Install from npm with `dsh plugin --profile web add @tnnevol/dsh-midscene`.

Causal memory for dsh: a zero-dependency MCP stdio bridge that mounts the 17 tools of the causal-memory server under clean names (no mcp__ prefix) — decision → outcome edges with typed relations (caused / enabled / prevented) in a local SQLite store that survives compaction — plus a pinned system-prompt section. Requires the causal-memory server binary on PATH (pip install causal-memory, or a prebuilt release).

Context engineering and token optimization plugin for DeepSeek Harness (DSH): tool output filtering, context pruning and progressive skill disclosure for LLM coding agents

Phone client for DeepSeek Harness — no app to install (PWA). Read sessions, background jobs, subagents, goal rounds, workflows and pending approvals, and talk to any session from it: streamed replies, tool-call progress, stop at any time, switch sessions and models. Also ships a GUI sidebar panel. Formerly dsh-taskwatch; the npm package is now dsh-in-hand.

Asset governance console for self-hosted AI infrastructure. Registers MCP servers, skills, agents, AI apps, model channels, SaaS connectors and NAS storage in one ledger with a lifecycle state machine, per-tool RBAC permission points, department x agent x skill cost attribution, dependency topology and an append-only audit trail. Self-hosted, MIT, no hosted tier and no cloud contract.

A DSH plugin for fiction and short-drama production

sift-light — Evidence-first search for AI agents.

Multi-agent collaboration for DeepSeek Harness: persistent agents, shared knowledge, direct communication, and independent review.

AI-managed Auto Compact for DeepSeek Harness: in the Block PTC preset (DSH 0.2.2-rc.1 or newer), the agent decides when to organize context and what to retain as work progresses, without waiting for a fixed token threshold.

给 DeepSeek Harness 用的科研文献库插件：搜论文、带出处、审批入库、把笔记线索交给同会话其他插件。Academic research library for DSH — search, cite, approve imports, hand off notes.

Search built for agents: multilingual coverage across web, academic, code, shopping, finance, news, and encyclopedias.

A plugin collection for DeepSeek Harness (DSH). Install this one bundle to get every plugin listed below; each plugin can also be installed on its own.

Execution maze for DSH sessions: the agent's real path — main advance, failed or dead-end detours, backtracks, request retries and subagent branches — drawn on one wall-clock timeline, with three tracks under each lane sharing that axis (tool-call density, token pulse, context pressure) and a deterministic analysis panel below it (tool result matrix, failure-recovery chains, duration distribution); watch it grow live in a session tab, or upload up to 5 session logs for a same-axis compare.