Plugins

Element annotation and review panel for the DeepSeek Harness web client: pick UI elements in a live app preview, write notes, and send them to the conversation as one structured block

Feeds every dsh prompt into the local agent-feedback-loop feedback-memory pipeline — captures dissatisfaction, reviews it offline into reflections, and attaches the compiled recurrence-rule context back to the turn, never blocking a prompt. Requires the agent-feedback-loop runtime; running agent-feedback-loop install afterwards wires existing dsh profiles automatically.

Kinich and Ajaw theme for DeepSeek Harness Web with three visual styles, session-state feedback, companion interactions, and configurable ambient effects.

会话记忆 → OKF 知识沉淀插件:预测驱动的神经自我学习记忆系统。把会话中高价值内容按 OKF v0.1 规范沉淀为长期记忆,跨会话自动唤起。Session-to-OKF memory plugin with neuro-self-learning (predictive recall, uncertainty-driven capture, reinforcement feedback).

Generates UI wireframes and high-fidelity mockups in DeepSeek Harness with selectable DashScope and Volcengine image providers.

Screenshot feedback for DeepSeek Harness — let your coding agent SEE what it builds

Capability transform & assembly engine (Qian Xuesen cybernetics/systems framework): static resident layer manages the skill/MCP/plugin registries, auto-absorbs skills and tool metrics, and drives a negative-feedback evolution loop (scan Sick/Weak → mutate → select promote/reject → 30s rollback); includes a Web UI panel and a GitHub dsh-plugin store bridge.

Use Jev to adjust main-chat reasoning effort without switching its model, independently select and apply fresh sub-agent capability and effort, and inspect decisions with per-reply allocation feedback.

Turns a user goal into a plugin plan using community catalogs and author documentation, then continues through installation and task execution in one workbench with saved history and feedback.

Read-only CSV/XLSX comparison by business keys, with offline review decisions, comments and source-verified feedback handoffs.

One-click thumbs up/down feedback UI that injects rating summaries into model context.

Compiles an LLM persona in DSH from six dimensions (identity, tone, creative habits, feedback style, boundaries, run parameters), injects the compiled text into the system prompt at the end, ships six built-in templates plus a drop-in templates folder, and drafts a persona from your own past messages — either by counting patterns in them or by having the current model read them and report its rationale. Adds a panel next to the composer and a /persona command.

Read-only clinic for DSH session logs: 22 named diagnostics (token waste, retry and failure loops, context bloat, cross-session amnesia, idle MCP servers and skills), each reported with a replayable evidence locator such as session.v4.jsonl.zstd#L101-L110, and each finding turned into an executable prescription — a profile-patch YAML snippet or a command with current to suggested values, risk, verification and source — plus a feedback command that retires a prescription you reject, after which the report states it was removed by your feedback. Zero dependencies, default zero egress, session files are never written.

Select elements, draw arrows or frame areas in DSH previews, send visual feedback to chat and compare before-and-after snapshots.

Markdown visual enhancement and session workbench for DSH Web Composer: live syntax presentation with caret-row source reveal (inactive-line markers can be hidden or faded), deterministic local completions, and list/quote continuation on line break with ordered-list renumbering; long pastes fold into persistent chips with inline context or file-mode delivery (@path across 50+ extensions) plus sidebar LLM rewrites (stop, preview diff, undo/redo); real-time context map with token gauge, composition breakdown, per-turn growth chart with anchor lines, in-place /compact, turn forking, and a Context Doctor workspace (overview, diagnostics, analysis, feedback).

Cross-session long-term memory for the DeepSeek Harness: a two-phase extraction/consolidation pipeline over a file-based memory workspace, recall injection, a citation feedback loop, lease-based job semantics, plus a settings page, a sidebar status panel

Connects DeepSeek Harness to FitMeet through per-user OAuth with 17 tools for people search, gatherings, notifications, personal items, connection feedback, Hall publishing, and direct messages, with preview-and-confirm guards for write actions.

Turns DSH conversations into reviewable community feedback and, after confirmation, submits it to the official DeepSeek Harness Discussions.

Guardian state engine for the DeepSeek Harness — assertion counting, edit review queue, and no-feedback-loop monitoring over session events

Incremental diff reviewer for DSH: after approving a batch, only new changes since the checkpoint are shown, with a Web review panel and `/review` command that inject feedback back to the agent.

Delivery workflow preset for DeepSeek Harness: an agent protocol plus seven tools that keep user requests verbatim, record feedback decisions, plan tasks with acceptance criteria, log real verification commands and exit codes, and write completion summaries as per-project JSONL files.

Long-term memory backed by a local SQLite store: project-scoped memory auto-injection with junk filtering, rule-based or model-assisted memory extraction from recent turns, write-side dedup and feedback-weighted ranking. The Python bridge runs on $NEXUS_PYTHON or the DSH-bundled interpreter at <DSH home>/dsh-runtimes/dsh-primary-runtime/dependencies/python/ (Python 3.8+).

Study companion for your materials with guided practice, evidence-grounded feedback, Leitner spaced review, 18 teacher tools, and a Chinese/English student panel using the current DSH session model; requires DSH >=0.2.1-rc.2 <0.3.0-0, Python 3.11+, and Python runtime dependencies.

Read-only writing-workspace panel for projects that contain a .writing-anything/ workspace: per-work overview cards, a unit tree, YAML artifact views as semantic cards or highlighted source, the source list and the decision/review queues, and in-panel unit review whose feedback is written back by wa-cli.