플러그인

Config-only bundle that mounts Ouroboros through the DSH MCP client, exposing 36 interview, Seed, execution, evaluation, and evolution workflow tools in DSH.

Mnemon 심층 통합: 로컬 3단계 메모리(Runtime Memory, 검색 가능한 Documents, 감독형 Memory Spaces)를 제공합니다.

把Claude Code的UltraCode模式带给DSH，把 DSH 的一次性多 Agent 调度，升级为可生成、可保存、可治理、可观察、可恢复的 Workflow 层

UltraCode 스타일의 멀티 에이전트 오케스트레이션으로, 생성·저장·거버넌스·관찰·재개가 가능한 워크플로 레이어를 제공합니다.

DeepSeek Harness (DSH) plugin: dispatch work to DSH agents from Claude Code / Codex — native subagent progress, in-host worker sessions with per-tier presets, and a multimodal bridge that lends the text-only harness vision and image generation.

Persistent multi-model squads configured in Settings and selected in the Composer, with per-member model/tool policies; the main Agent dynamically plans each send as a bounded DAG with bounded reviewer/repair loops, while Run Center tracks retries and per-member tokens from official Harness usage events.

All in Luna 기반으로 동작하는, All in Flash용 DeepSeek Harness Cordis 도구입니다.

Model high-availability failover (quarantine, circuit breaking, probe recovery) and subagent orchestration (fanout/pipeline/supervisor) with bilingual settings UI.

독립적인 DSH Agent 세션을 위한 영구 룸: 명시적 멤버십, 다이렉트/브로드캐스트 메시지, 작업 추적, 공유 웹 타임라인 제공

Adds persistent execution contracts, recursive work graphs, critical clarification, and evidence gates for long or underspecified Harness tasks.

DSH 세션과 승인된 Agent Team Room 간의 비동기 LLM 요약 컨텍스트 중계, 즉시 스냅샷과 예약된 요약 제공

dsh-skill-pack-security용 선택적 프로바이더 플러그인: 팩의 skills/(중국어) 또는 skills-en/(영어) 버전을 ctx.skills에 등록. 두 버전 모두 pack/에 내장되어 제공

DeepSeek Harness용 모델 네이티브 메타 에이전트 플러그인: 다섯 가지 에이전틱 워크플로 패턴(프롬프트 체이닝, 병렬 워커, 라우터, 슈퍼바이저, 평가 루프)으로부터 모델이 런타임에 작업별 워크플로를 합성하고 도구와 서브에이전트를 조율

Long-task orchestration loop: Codex plans/scores/reviews, DeepSeek executes, Kimi supplements (vision acceptance, summarization, cross-check).

DeepSeek Harness용 2단계 모델 라우터 — LLM-Judge 라우팅, 다중 모델 폴백 체인, 지수 백오프 장애 조치, 작업 단위 오케스트레이션(pi-shift-router의 DSH 이식판)

Alternative WorkflowEngine provider for DSH 0.1.0-rc.7 that runs model-written orchestration in fresh QuickJS/WASM runtimes with a JSON-only host bridge and bounded memory, execution time, and child-agent fan-out.

A single project operating map for DeepSeek Harness.

Main-brain orchestration preset: delegation-first persona, root-session execution gate, and portable AI-LAW rule skill.

Declarative task-DAG orchestration for DSH: validates dependency graphs, runs topological task layers in parallel through workflow-backed subagents, and propagates failures deterministically.

Rigorous open mathematics research suite: four agent skills (rigorous-open-math-research, manage-math-research-program, math-research-workflow, lean-verify) for theorem solving with adversarial audit, research program management, pipeline orchestration, and Lean 4 formalization audit; CI-verified tests and mechanical upstream sync.

Discover and verify portable RoleHub roles, pin each exact bundle, then launch its prompt and bundled skills in an isolated, continuable DSH Session with Host-approved tool bindings and optional Agent Team Room attachment.

에이전트 평가 플랫폼: 벤치마크 YAML, 헤드리스 실행 오케스트레이션, 추적 기반 지표, 실행 리포트