Plugins

Evidence-grade reports beyond a plain export: /transcript writes styled HTML/Markdown/JSON with Mermaid lineage, editor diffs and a turn timeline; /stats prints a cost-aware card; /archive packs the raw JSONL with a metadata manifest, while /transcript --manifest and /bundle add the SHA-256 evidence manifest — full history, any backend.

Persistent personal todos shared across DeepSeek Harness sessions and projects: SQLite storage, Agent tools, a native sidebar and turn-tail cards, with user-managed workflows or optional dispatch of individual todos to Agent sessions.

Telegram channel for DeepSeek Harness — real Telegram markdown, and answer the agent's questions and approvals straight from chat

Zero-intervention permission gate for DeepSeek Harness (DSH) agents on macOS — active on install. Writes that can be undone via a local git baseline or macOS Time Machine are auto-approved and automatically snapshotted; network access, package installs, process/system management, and reads of sensitive credential paths are blocked; every decision is audited — the audit log keeps everything by default, with optional automatic cleanup of the oldest records.

Indexes the current workspace into a relation graph and exposes one agent tool, codegraph_explore, for reachability, callers, and impact, plus a Web sidebar graph pane.

Local relationship-memory workbench with a confirmation gate: every AI write — extracted memories and newly created contacts alike — lands in a pending queue until the user confirms it in the GUI; materials are archived verbatim with quote-level provenance checks on AI extraction, and confirmed memories aggregate into per-contact timelines, gift occasions and reciprocity views. Ships a native relationship agent preset for conversation capture; JSON storage by default with an optional SQLite backend, zero production dependencies.

Route each WeChat group session to a different Agent preset by group name, reusing dsh-wechat-assistant without changing its code.

Model-driven context compaction for DeepSeek Harness. The agent decides when and what to compress, commits durable session-log replacements, and ships reversible tool-result compression with byte-exact hash retrieval.

Create and configure Agent presets from a single settings section — persona prompt, a checked knowledge-base entry list injected into the system prompt, individual switches for four knowledge-base tools, per-Agent narrowing of MCP connections, and batch knowledge-base import.

Zen Mode view tab and foreground time tracker for DeepSeek Harness: while the agent works, a calm conversation view shows running/done status, your latest user message, live activity hints and the final AI reply in markdown with one-line turn stats, plus screen-watching (focus) time tracking with daily/weekly Zen scores, a chat-hide toggle that hides tool calls and reasoning rows, auto enter/exit Zen on task start/complete, an Alt+Z shortcut and a Zen settings panel — pure client-side, stored in localStorage, no network.

Diagnose and repair DSH sessions that stopped opening after a harness upgrade — from the CLI, from an agent tool, or from a dashboard in the DSH web UI.

Cross-session memory for your dsh agent: remembered, recalled, and re-verified instead of assumed.

Agent 行为守护桌宠：跨 agent 监控可疑外传（加密打包直传对象存储 / DNS 外泄线索 / 敏感密钥被读），发现即告警，明确确认后按「一次一个」终止目标 agent；事件写入只追加 guard-events.jsonl，并通过 DSH host 工具 + MCP(stdio) 供其它 agent 查询

Registers any set of HTTP APIs as paired doc-query and request tools for the agent.

Dead-loop brake for DSH agent sessions: detects repeated identical tool calls, repeating call sequences, and duplicate text, then reminds the agent or refuses the call before it runs.

Always-on-top lamp board for macOS: one lamp per agent, one row per session, collapsing to one lamp per running task; a lamp turns blue and blinks while an approval or a question is waiting on you, and the root agent finishing raises a system notification.

A continuation of simon300000/dsh-auto: the Auto Approve permission preset for the DSH Web UI reviews each approval with one single-shot model call instead of a reviewer subagent, auto-approves only the actions that pass and hands the rest to human approval, and remembers confirmed decisions as project- and global-scope allow/deny lists, with an approval timeline in the right sidebar.

Bridge a Feishu bot to a DSH session: open a real session in a workspace, run tasks with the existing model and plugins, and report results back.

Deterministic engineering orchestration runtime for DeepSeek Harness: the orbit_controller tool and OrbitService run Commander, Executor and Smart Watchdog children through PLAN, EXECUTE, EVALUATE, bounded correction and runtime recovery, with durable state in <project>/.cx/state.json.

Automatically orchestrates complex DeepSeek Harness requests. It detects when delegation is useful, builds a dependency-aware plan, assigns bounded researcher, architect, backend, frontend, tester, and documentation workers, collects structured evidence, and sends the results to a final reviewer. The bundle atomically enables the workflow engine and model-facing subagent tools; disabling the plugin disables its complete tool group as well.

Ships a skill about handing work to subagents instead of doing it inline - which tasks are worth fanning out, how many to run at once, how to send them in parallel, and how to check what they returned instead of trusting the summary.

Agent screen capture on macOS and Windows: one tool captures the screen and returns the image itself, so the model sees it without a second call. On Windows a whole burst runs in one engine call; on macOS a resident helper drops a region capture to 13ms and a change check to 23ms. A second tool, macOS only, reports whether Screen Recording is granted and opens the settings pane that fixes it.

Controlled browser automation for DeepSeek Harness: the agent_browser tool and BrowserAutomationService drive a real Chromium or Chrome page (or an explicit CDP endpoint) through the agent-browser CLI, with allowedDomains containment and per-call output limits.

Computer Use for macOS desktop applications: reads any app's accessibility tree as text with element indices, then clicks, types, pastes, scrolls, drags, selects text and sets values through it, plus screenshots read back as images. Driven by a persistent JavaScript REPL — the agent gets two tools (`js`, `js_reset`) and calls an `sky` API inside them, so state survives between calls and the tool schema stays fixed as capabilities grow. Accessibility trees come back as diffs after the first read; actions address elements by index and indices from a stale read are refused rather than misapplied; typing waits for keyboard focus and reads the field back; paste restores the clipboard. Requires macOS 14.4+, Accessibility permission (Screen Recording only for screenshots) and Node 20+; ships a prebuilt native module, so nothing compiles at install time.