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Role-based multi-agent team for DeepSeek Harness. The /team command assembles up to 12 specialist subagents (product, architect, researcher, UI, backend, frontend, database, security, reviewer, QA, DevOps, docs) and runs a nine-phase gated pipeline (clarify, research, design, spec review, plan approval, implement, review, test, deliver) over a shared workspace of artifacts (SPEC, PLAN, TASKS, STATE, REVIEW, TEST). Quality gates are enforced by plugin code rather than requested in prompts: an unfinished task cannot be marked completed, quality findings must be adjudicated by the reviewer or QA role, and coverage gaps or rework over budget appear live in the overlay and in /team status. Ships a live team overlay (phases, roster with per-role models, task DAG, artifact preview, decision buttons), a persistent-team mode that resumes across sessions, and per-run token and time accounting. Zero runtime dependencies, no build step.

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).

Unit conversion toolbox covering 20 categories — length, mass, temperature, area, volume (incl. US cooking units), speed, time, data sizes (decimal MB vs binary MiB), data transfer rates (Mbps vs MB/s), acceleration incl. g-force, illumination (lux / foot-candle), pressure, energy, angle, frequency, power incl. three horsepower definitions, force, torque, typography (px/pt/em/rem), and fuel economy (mpg ↔ L/100km). Two tools — convert_unit and list_units — zero runtime dependencies, pure arithmetic; each result includes the formula applied.

DeepSeek Harness용 에이전트 규율 가드: 프롬프트 수준의 알림이 도달할 수 없는 하네스 경계에서 4개의 게이트를 강제 적용 — 루프 서킷 브레이커, 토큰 비용 퓨즈, 경로 전환 경고, 플랜 승인 — 에이전트가 분 단위로 주간 할당량을 소진할 수 없도록 합니다. 원 클릭 🛡 칩, 핫 리로드 가능 임계값, 보이지만-장비된에서 경고-전용까지의 프리셋 제공.

JSON-RPC를 통한 읽기 전용 Odoo 도구: 서버 정보, 모델 필드 내성 검사, 그리고 도메인 필드 이름에 점을 포함할 수 없는 모델 허용 목록으로 제한된 search_read를 제공하므로 관련 레코드 탐색이 불가능합니다. 초안 생성 도구는 allowWrite가 활성화된 경우에만 등록되며, sale.order와 project.task로 제한되고 초안 상태는 플러그인이 강제합니다.

DSH WebUI에 스킬, MCP 서버, 도구, 프롬프트 주입, 승인 에스컬레이션, 안전 가드에 대한 세션/프로젝트/전역 제어를 추가합니다. 적용은 현재 에이전트 범위로 제한됩니다.

DSH 에이전트용 검증 게이트: 완료 게이트가 목표를 통과시키기 전에 모든 수락 기준이 서버 스탬프가 찍힌 실제 도구 증거로 뒷받침되어야 함(자문 감사, 강제 게이트, 영구 허가).

일반적인 커밋 규칙 적용, 변경 로그 생성, PR 요약 및 일반 git CLI를 통한 브랜치 푸시를 제공합니다.

dsh용 spec-driven 개발 규율: 5개의 keel 스킬(anchor/spec/probe/build/audit), 3개의 리뷰 도구, 6개의 spec 템플릿이 코드보다 먼저 명세를 쓰는 것, 가정 검증, 범위 통제를 강제합니다.

메모리 프로토콜 강제 플러그인: opencode-memory MCP 서버를 연결하고, 도구 호출 전에 memory_weave를 강제하며, 턴을 자동 수집하고 에이전트 단계에 메모리 컨텍스트를 주입합니다.

Model-callable compact_agents tool that force-compacts context in every live session (main session, ordinary sub-agents and AgentTeams members alike), queues busy targets and compacts them when the turn ends, reports the shadowed node count and estimated tokens per target, and ships a browser form for the trigger ratio, retained ratio, controlled-phase output budget, auto-continue budget and an end-of-turn pre-compaction ratio that compacts near the trigger line once a turn ends, so a reply no longer opens with a wait for the summarizer.

DeepSeek Harness plugin for Agent-Playbook: multi-agent claims, isolated git worktrees, and enforced acceptance checks. "Done" is an exit code, not a claim.

Connects DeepSeek Harness to a local SiYuan (思源笔记) desktop app: registers its note tools as mcp__siyuan__<tool>, exposes the AI configured in SiYuan together with its agent loop as one more tool, ships a notes skill, and enforces a readonly/authoring/full profile on every call while keeping the tool list available when the app is closed.

Team cost captain: meters every model call (subagents included), attributes each call to a member by workspace rules, prices it with the built-in DeepSeek 2026-09 catalog (peak/off-peak, CNY/USD) or user overrides, and appends it to a local JSONL ledger. Adds hot-reloadable member budgets, 80%/100% webhook alerts, optional over-budget enforcement, a team_cost_report tool with CSV export, and a settings-page team dashboard served over a Typert RPC service.

Open folders on remote hosts over SSH as Harness workspaces: file tools (read/write/edit/grep/glob) and shell commands run directly on the remote host over SFTP, ripgrep, and ssh2 exec, with no local mirroring, an encrypted multi-host registry, and the local sandbox policy still enforced.

AST-based context compression, test log filtering, and token budget guard for DeepSeek Harness: strips redundant syntax, prunes noisy log lines, and enforces a token ceiling so the context window never overflows.

Three independent language channels for model output — tool-call descriptions (every tool-call card title, including run_code in PTC-style presets), thinking, and replies — each set to follow the web GUI language, force a specific language, or turn off (default: only descriptions, following the GUI). One global runtime-context prompt directive on the host; the client half reports the GUI language; a Settings plugin card switches the modes.

Forces periodic Engram memory recall and save reminders for DeepSeek Harness agents: injects a dynamic system-prompt context that reminds the model to load prior session memory at the start of a session, and to save new decisions/bugfixes/learnings every

Single-password authentication gate for the dsh web surface: configurable session validity, Ctrl+Shift+L lock, CLI password management, brute-force lockout, in-UI password controls.

Branch-role guard for AI coding agents: configurable integration/preview/production/archive roles, blocking direct push, force-push and delete on protected branches and agent merges into production/archive.

Dual-model auto-routing plugin: low-cost direct / high-cost upgrade with an escape-learning closed loop (wrong direct answers auto-learn fingerprints, force-upgrading the same fingerprint next time), persisted and interoperable with the Python ModelRouter.

Safe, audited SQLite/PostgreSQL/MySQL access for dsh agents: schema introspection, enforced read-only queries, a write approval gate, and a durable JSONL SQL audit trail.

Enforce configurable git commit / push / PR conventions for DeepSeek Harness agents

DSH sidebar footer ordering: forces the sidebar.footer.action slot into a vertical stack and lets users configure the top-to-bottom order of its entries.