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DSH용 심층 협업 집필 에이전트: 편집 쌍에서 사용자별 문체 학습, clarify→outline→section-writing→red-team→reader-gallery 흐름, 프로젝트→보고서 합성(실험 보고서 / 제품 소개 / 설문 / README), 41개 MCP 도구, 앱 내 파일 미리보기가 있는 웹 선택-개선 UI.

턴, 모델 단계, 도구 호출을 yiTrace로 내보내는 텔레메트리 백엔드

Cross-session memory for your dsh agent: remembered, recalled, and re-verified instead of assumed.

Recurring Excel template fill and reconciliation review: declare the file, sheet, header row, match key and amount columns once, preview every cell write before it lands, compare amounts as exact two-decimal values, list the unmatched rows as exceptions, and export a filled template copy with an HTML report and a JSON trace back to the source rows.

Model-facing codebase-memory CLI tools (codebase_list_projects/index_repository/index_status/search_graph/query_graph/trace_path/get_code_snippet/get_graph_schema/get_architecture/search_code/detect_changes/manage_adr/ingest_traces/delete_project) that ru

OpenTelemetry (OTLP/HTTP) + Langfuse trace exporter for DeepSeek Harness — GenAI semconv, sanitized before send, batched with retry, off by default.

Record every step the agent took, and walk through it forwards and backwards to find where it went wrong.

Wire-level LLM inspector: captures the raw HTTP request and response bodies of model provider calls and attributes each capture to the session that caused it through the llm/stream waterfall. The request pane renders the body as a collapsible tree with per-node sizes — one measured request was 98.6% a single 973-entry array — and the response pane reassembles the OpenAI-style SSE chunk stream into reasoning, content, tool calls and usage. Shown in a Conversation View tab and a loopback viewer page.

Code graph and knowledge base over an embedded FalkorDB: AST symbols, caller/callee tracing, refactor blast radius, affected-test discovery, clone detection, cross-language porting contracts and spec-to-code traceability.

dsh-plugin: quality-first topic memory for dsh — a topic keeps the starting question, conclusion, impact and dependencies, not the process; local-first git-traced OKF bundle, budgeted LLM-free injection

Source-traceable Brave + Tavily live web search and URL extraction for DeepSeek Harness. Native DSH plugin; TaroCub optional.

The `debug` tool for DeepSeek Harness — a model-facing Debug Adapter Protocol tool with 28 operations (launch/attach, breakpoints, continue/pause/step, threads/stackTrace/scopes/variables/evaluate, disassembly, memory, modules, output, terminate) over the

Runs one coding prompt across multiple configured models in isolated Git worktrees, streams side-by-side tool traces and results, and commits the candidate the user adopts for later rounds.

Side questions (/btw) and ephemeral temporary chat for DeepSeek Harness (dsh) web — ask without interrupting the main agent, dispose without traces

Local JSONL run traces for DeepSeek Harness sessions

Persistent model tool-call trace recorder: every tool call is durably written to a JSONL file that survives restarts, queryable via a structured call_trace tool and a callTraceHistory service, with size rotation and an optional floating canvas UI add-on.

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

codebase-memory-mcp용 코드 지식 그래프 브리지: 시맨틱 심볼 검색(BM25), 소스 스니펫, Leiden 커뮤니티 기반 아키텍처 개요, 호출/데이터 흐름/서비스 간 추적, 그래프 보강 grep