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Multi-language codebase intelligence for MCP-compatible IDEs, the CLI and DeepSeek Harness: chat, search, audit, refactor, and board-ready reports from local code.

Unofficial DeepSeek Harness settings panel for Command Code: credits, usage windows, and model-catalog sync.

Ultra-lightweight Moli (Rust headless browser) web-fetch provider for DeepSeek Harness: renders complex SPAs, micro-frontends, and dynamic pages with ~60MB memory.

Fork companion for DSH: on any official fork, copies every direct subagent child of the source session onto the forked conversation (recursively, whole subtrees) through the official agent API, leaving each copy as a cold session the official resume path can wake — so the new conversation keeps its subagent panel and can keep messaging those children, while the originals stay with the old branch.

Configurable send and newline keys, a composer context menu with three sources (leave it to DSH and other plugins / browser menu / plugin-styled custom menu), a quick-command panel with categorized prompt lists where each prompt can append on every send or only on the first message of a session, a create-and-move row at the bottom of each category, a prompt optimizer that rewrites the draft with a separate model call, settings-panel size memory, and automatic x-opencode-session header injection for OpenCode routes. Prompt lists live in a global ~/.dsh/quick-prompts.json that is independent of the session and the project.

Zero-config lint feedback loop for JS/TS, Python, Go and Rust: lint_diagnostics / lint_workspace_errors / lint_fix tools driven by the repo's own eslint / biome / ruff / golangci-lint / cargo clippy (auto-detected from config files, repo-local node_modules/.bin resolved first, nothing bundled), plus an auto-injected post-edit findings delta on the harness fs/observed event and a bounded completion gate — edit → lint → auto-repair with one lint_fix call for dsh agents.

Multi-language codebase intelligence for DeepSeek Harness and MCP-compatible IDEs: chat, search, audit, refactor, and board-ready reports from local code.

人脑式上下文压缩逻辑，大幅减少长任务上下文占用以及token消耗

Compresses DSH time-context from ~280 chars to 46 chars by injecting a compact date line into the runtime-context snapshot; zero runtime dependencies.

DSH web plugin: a sidebar footer QR-code button that lets a phone scan and re-issue the current browser's authenticated launch URL, reusing the same ?token exchange the desktop just completed.

Voice call assistant for the DSH Web GUI: a draggable floating call ball, browser-side VAD that sends each utterance after a pause, FunASR HTTP or streaming speech recognition, MiniMax or OpenAI-compatible TTS replies, an optional wake-word mode with auto-sleep, and task dispatch to separate subagent sessions with progress, stop, and spoken completion reports.

A better approach to editing files in DSH.

Plugin development toolkit for DeepSeek Harness with scaffolding, contract checks, plugin vetting, impact analysis, and upstream compatibility tracking.

Reading archive for dsh: after reading open-source code, capture quick notes or write full deep notes that group into one card per repo / file / symbol, stored as an append-only log of Markdown notes you can open in Obsidian; query your history, browse recent reads, or search your own Obsidian vault and link related notes to a reading record. Nine tools, a /codevault command, and a code-reading skill.

Pre-visit due diligence and company research in DeepSeek Harness for customer background checks and risk briefs, with Qichacha MCP tool-call budget approval and entity confirmation.

Side-ask drawer opened from a completed answer's action row: follow-up questions run in an independent, auto-archived session seeded with the prior conversation text (read-only, capped at 48,000 characters), leaving the main session untouched. The side session inherits the main session's model, switchable inside the drawer, with a context-usage ring.

ClineBot and ClinePass integration for DeepSeek Harness: dedicated settings page, live quota dashboard, in-UI key saving, curated and custom model selection, and a /cline command.

Local-first personal usage insights in Settings, with 1/7/30-day token heatmaps and a 30-day calendar, token composition, model mix, and skill-call status.

Pins every request to the native max-effort tier and adds a per-model/per-mode reasoning-depth panel with a 0-20 capability slider, isolated Velocity/Apex profiles, and offline reasoning toolboxes. Distributed as an obfuscated build; commercial use allowed, reverse engineering closed.

Request-level one-time prompt injection without further context pollution. SillyTavern-style UI and data compatibility, keyword/regex/constant triggers, and a lore_lookup tool for on-demand searching.

명령이 채팅을 대체하는 RTS 스타일 오케스트레이션 대시보드. 상주 commander 에이전트가 각 오더를 수락 기준이 포함된 작업 브리프로 분해하고, 유형이 지정된 subagent 부대(recon/engineer/medic/scribe)가 분리된 워크스페이스에서 이를 실행하며, 모든 세션은 이를 시작한 오더로 인덱싱됩니다.

DeepSeek Harness용 자기 진화하는 프로젝트 수준 Agent: 16개의 SDD 워크플로 스킬(명확화, PRD, 이슈, 코딩, 위치 파악, 수락, 리뷰)에 더해 시간이 지남에 따라 축적되는 프로젝트 메모리와 지식.

텍스트 전용 DSH 모델용 구성 가능한 이미지 인식: 이미지 메시지는 먼저 OpenAI 호환 비전 모델(Base URL, 모델 ID 및 API 키는 설정 섹션에서 지정)로 전사된 다음, 이미지 입력 지원이 광고되면서 텍스트로 메인 모델에 전달됩니다. API 키 인증 체계는 선택 가능 — OpenAI, Anthropic, Gemini 또는 Azure 스타일 요청 헤더 — 키가 없으면 요청 전송 전에 보고됩니다.

대화 작성기에 드래그 앤 드롭 파일 업로드, 할당량 추적이 가능한 토큰 사용량 알약, 세션 아카이브 관리 — 3 in 1 일상용 애드온.