Plugins

LLM debug console for DeepSeek Harness: captures the full content of every model call at the llm/stream waterfall (options, stream chunks, usage, wire protocol) and shows it in a DevTools-style docked panel, with shared-prefix context diffing, wire-JSON reconstruction, JSON export and a runtime-tunable capture policy.

Load testing with Grafana k6: smoke-test first, then run scripts and read percentiles from the JSON summary.

SMS forwarding webhook for DeepSeek Harness. Phone apps (SMS Forwarder, Tasker, or any HTTP POST) push messages to a local HTTP endpoint; the plugin stores them as JSONL and exposes sms_recent / sms_search tools so the agent can read SMS verification codes during tasks. Auto-extracts the first 4-8 digit OTP from each message, supports keyword filtering, and works over LAN or Tailscale.

Generate README.md for dsh plugin repositories from package.json + cordis.patch.yml + source layout — install/CLI/tools/dev/license sections, deterministic, zero runtime deps, read-only by default. CLI plus an agent-callable readme_forge tool.

Generate llms.txt for dsh plugin repositories from package.json + README — AI-readable discovery files, zero runtime deps, read-only by default. CLI plus an agent-callable llms_forge tool.

Local, auditable personal memory for DeepSeek Harness: preferences, project conventions, workflows and error lessons persisted as a changelogged JSON file in the workspace, with onboarding, auto project-convention extraction and evidence-backed lessons.

DSH Web Usage Center with local SQLite history, HUD and dashboard, Hub account/quota snapshots, custom pricing and fee ledger, and CSV/JSON export, plus coding-plan OAuth and an optional loopback OpenAI/Anthropic gateway.

Human-in-the-loop tools (`human_task` / `human_task_ready_check`): pause the agent until the user performs a real-world action or returns an observation (GUI operation, game testing, visual verification, hardware checks), gated by session consent and an AFK presence check, returning a structured JSON result via a web task dialog.

Recover deleted or corrupted dsh sessions (session.jsonl.zstd) and memory (memory.db) from the raw disk, and repair rebuilt sessions that fail to resume via the /session-repair command in the web UI.

Personal bookkeeping for DeepSeek Harness: record expenses/income (single or batch), list, monthly/annual stats with trends, budgets with progress/over-limit alerts, soft-delete restore, CSV & self-contained HTML report. Zero deps, local JSON. 个人记账插件

dsh (DeepSeek Harness) 更新中心与插件市场：自托管 plugins.json 注册表（GitHub dsh-plugin 主题自动聚合 + npm 包名映射秒级安装），一键安装/更新/卸载/禁用插件与更新 dsh 本体。Update center & plugin marketplace for DeepSeek Harness.

Adds a produced-files card row to the chat and a resizable split-screen preview panel for workspace artifacts (Markdown, source code, CSV, JSON, images, HTML), plus a localhost port preview.

Runtime security gate on the tool pipeline: denies calls naming hosts outside an egress allowlist, redacts credentials from results at the canonical value rather than only the rendered content, and appends every decision to a JSONL audit log; ships in monitor-only mode.

Read-only health clinic for the installed DSH plugin set: loader health, dependency integrity, version compatibility, install-script risk, duplicates and patch integrity, delivered as a model tool, a Settings dashboard and JSON reports.

Local-first structured vision for text-only agents: images go to a local OpenAI-compatible VLM and come back as JSON evidence (summary, verbatim OCR, layout regions, entities/relations, colors, explicit uncertainty), with anti-hallucination fallback and an optional paste/upload bridge; zero cloud cost, images never leave the machine.

Data analysis toolkit: CSV/TSV/JSON profiling, IQR and z-score anomaly detection, structured summarization with quality issues, and code-free filter/group/aggregate queries.

Long-term memory injected at session start: preferences/facts/summaries/knowledge in global and per-project scopes, budgeted recall via `agent/pre-step`, durable JSON store.

Brings your existing Claude / ChatGPT history into DSH: instant zero-token import of the memories.json inside a Claude export, local Claude Code transcripts with no export needed, and conversations distilled through the model you already configured in DSH. Every memory carries verbatim evidence checked against the source by code — a paraphrase is dropped and counted, and evidence found only in the assistant turns is always routed to review rather than stored.

Project-scoped persistent key-value memories with set/get/list/delete/search model tools and JSON-file storage.

Session lifecycle CLI: export (md/json/jsonl), archive/restore, trash, search, and stats. Read-only by default; nothing is ever deleted by the engine.

Guards the persisted session-projection cache: per-row JSON degradation so one misbehaving projection unit (e.g. a third-party plugin storing a Map) can never stall session titles or the whole cache again, plus a startup self-heal that backfills missing titles.

Create/modify/inject test assistant messages and import/repair session.jsonl(.zstd) session logs into new sessions.

Capture every upstream model API payload to JSON (debug & observability).

Runtime log panel for DeepSeek Harness: live SSE log view in Settings plus bounded date/size rotating JSONL files.