Plugin

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

Integrazione approfondita con Mnemon: memoria locale a tre livelli (Runtime Memory, Documents recuperabili, Memory Spaces supervisionati).

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

Orchestrazione multi-agente in stile UltraCode: un livello di workflow generabile, salvabile, governabile, osservabile e ripristinabile.

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.

Strumenti Cordis di DeepSeek Harness per All in Flash, basati su All in Luna.

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

Stanze persistenti per sessioni indipendenti degli agenti DSH, con appartenenza esplicita, messaggi diretti e broadcast, task tracciati e una timeline web condivisa

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

Trasmissione asincrona del contesto, riassunta da un LLM, tra le sessioni DSH e le Agent Team Room autorizzate, con snapshot istantanei e riepiloghi programmati

Plugin provider opzionale per dsh-skill-pack-security: registra l'edizione skills/ (zh) o skills-en/ (en) del pacchetto su ctx.skills. Include entrambe le edizioni incorporate in pack/

Un plugin meta-agente nativo del modello per DeepSeek Harness: il modello sintetizza a runtime flussi di lavoro specifici per il task a partire da cinque pattern di workflow agentici (concatenazione di prompt, worker paralleli, router, supervisore, ciclo di valutazione) e coordina strumenti e subagent

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

Router di modelli a due livelli per DeepSeek Harness — instradamento con LLM-Judge, catene di fallback multi-modello, failover con backoff esponenziale e orchestrazione a livello di task (adattamento DSH di pi-shift-router)

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.

Piattaforma di valutazione degli agenti: benchmark in YAML, orchestrazione delle esecuzioni headless, metriche basate su trace e report delle esecuzioni