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

Failure-recovery memory: search and record failure-recovery lessons from real engineering sessions, with BM25 + semantic RAG retrieval and a lessons knowledge base.

DSH↔Godot 엔진 런타임 브리지: 게임 내 TCP 상호작용 서버를 통해 실행 중인 Godot 4.x 게임을 실행하고 제어합니다 — 씬/UI 검사, GDScript 평가, 입력 시뮬레이션, 스크린샷, 헤드리스 정적 작업, 스크립트 검증까지 8가지 도구를 제공하며 godot-mcp를 대체합니다.

Self-evolving team memory as plain Markdown in git: a native Cordis plugin that registers 38 bare-name memory tools plus a prompt-signals section re-evaluated at every assembly, with RPE reinforcement, decay and sleep consolidation; shares one data repo with its Claude Code (MCP) and OpenClaw hosts; verified against DSH 0.1.0-rc.6.

Quantitative R&D toolkit for DeepSeek Harness — 46 tools across six domains covering market data, indicators, factor evaluation, walk-forward ML validation, risk, options, bonds and fund simulation, with an end-to-end research pipeline.

A web-novel writing engine for DeepSeek Harness: parallel drafting, outlining and brainstorming with a separate DeepSeek key, lore and foreshadowing management, semantic vector retrieval, a corpus library, usage ledger, mechanical proofreading, and a local serialization plan.

Semantic retrieval, resource management, auto-recall (user + agent dual spaces) and session memory for DeepSeek Harness: memsearch/memfind/memread/membrowse/memgrep/memglob over viking:// URIs, memadd/memremove resource management, memqueue observer status, memcommit session capture, and memlearn skill playbook minting.

Technical-preview local graph memory for DSH and Codex: recalls owner-global and current-project evidence before each turn, writes USER and ASSISTANT records separately, and preserves project, session, actor, and source provenance for a visual atlas and cited knowledge pages.

안전한 수식 평가기로, 의존성 없는 재귀 하강 파서를 사용합니다.

Exports metadata-only DSH turn, model, tool, approval, retry, and error events to Tuning Engines for governed traces, policy evaluation, cost analysis, and Work Session review, with a disk-backed retry queue.

DSH 플러그인용 평가 harness입니다: YAML 케이스로 실제 헤드리스 에이전트 실행을 구동하고 도구 호출, 인자, 결과, 토큰 사용량을 검증하며 CI 회귀를 위한 베이스라인 게이트를 제공합니다.

Zero-dependency browser control: drive a real headless Edge/Chrome over CDP with 8 `pilot_*` tools (navigate/click/type/keys/eval/screenshot) plus a live draggable cockpit panel in the Web GUI - text-first snapshots for text-only models, no Playwright, no API key.

File-based cross-session memory: plain Markdown memory files with automatic retrieval injection, format-compatible with Claude Code's CLAUDE.md and memory files, so migrating is a manual file copy.

Task-driven plugin equip engine: dual retrieval (curated rules + LLM semantic), combo scoring (synergy/conflict/cost/trust), conflict detection and install-command export.

Cherry Studio-style knowledge base system for DeepSeek Harness (DSH): bases, documents, chunking, embeddings (OpenAI-compatible / Ollama / local / lexical fallback), retrieval, model-facing tools, and a browser management panel

Auditable vision and cross-platform Computer Use runtime for DeepSeek Harness with source-preserving evidence.

Markdown 노트를 위한 이중 지식 그래프 RAG: 선행 조건 + 유사도 그래프(P/S-Agent 순회), 단락 청킹, n-gram/임베딩 하이브리드 검색, 명시적 가중치 피드백 루프 — MCP를 통해 제공

PR evaluation and improvement consultant: assesses PR success probability based on historical anti-patterns and success patterns, with one-click scoring and actionable suggestions.

Surveys local code and GitHub/npm for reusable implementations before development, evaluates reuse versus rewrite, and checks architecture coupling.

Evidence-first self-evolution controller: bounded Cordis candidate generation, one-shot real-Loader admission, Harbor evaluation, and a crash-resumable journaled lineage.

Drive the user's real browser through the local Kimi WebBridge daemon: navigate, find-tab, snapshot, click, fill, evaluate, CDP, screenshot, network, upload, PDF export and tab-management tools that reuse existing login sessions.

Biomimetic memory system for DeepSeek Harness: plain-Markdown data layer, memory tools, frozen-snapshot injection, graded approval gating, structured audits, memory metabolism (dream), memory pins, semantic recall, /memory command, and cross-session retrieval.

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

md/txt/docx/pdf로부터 감사 가능한 KB 팩(SQLite FTS5)을 구축하며, 결정적 검색과 원문 읽기 지원