46 results
Eyes for text-only DeepSeek Harness agents: built-in free vision chain (no key) + pixel-level vision tools (Q&A, grounding, crop, pixel diff, colors, OCR, SVG trace, cutout, screenshots). One-command install, no Python, image turns work like ordinary tool-calling turns.
Recent conversations stay vivid. Older ones fade into summaries, not oblivion. StrataGate gives DeepSeek Harness six-layer, time-decaying memory, while lasting events and relationships settle into a knowledge graph. Bring your memories from other AIs with
The execution maze for DeepSeek Harness agents: see how the agent actually worked — main path, detours and backtracks on one timeline, with data tracks, deterministic analysis, and multi-session comparison
AI deep-reading assistant for DeepSeek Harness and dsh-TUI: extract traceable claims, evidence, confidence levels, knowledge maps, and review questions from articles, books, PDFs, files, URLs, or pasted text.
DSH 插件回归评测门禁：yaml 用例 + headless 驱动 + trace 断言 + baseline 门禁（eval_run / eval_gate）
Langfuse observability for DeepSeek Harness: OpenTelemetry traces, compaction, feedback Scores, and fork lineage
What a DeepSeek Harness run costs in tokens, money, and time. OpenTelemetry traces, metrics, and logs in GreptimeDB, with seven Grafana dashboards.
Local-first failure evidence capsules for DeepSeek Harness sessions
Context Assembler DSH V0.99 — Context Assembler plugin for DeepSeek Harness (dsh): context compaction, cache-friendly topic-block management, water-pressure topic splitting, tool trace/rewrite, handoff planning and reality recall injection.
File-diff visualization between checkpoint time nodes for DeepSeek Harness: a read-only timeline + per-file line diff over the dsh-checkpoint-rewind checkpoints storage domain, with preview-first rollback (restore workspace files from any time node, single-file or whole-node; per-file current→snapshot preview diff; single-shot in-process undo), exposed as /diff and /rollback commands, a JSON HTTP API, and a GUI panel (session header action + shell overlay). Requires the upstream dsh-checkpoint-rewind plugin (the snapshot producer) to be installed first — without it, only the Trace scope works
A continuous, model-assisted semantic debugger for DeepSeek Harness trajectories.
DevTools for DeepSeek Harness web: read-only Agent Runtime Trace — turn/step execution timeline, model latency (TTFT/decode), tool-call durations, retries, hook and turn end reasons. Metadata-first, durable events only, zero behavior modification.
Retrace · 回溯 — Recall, edit-and-resend, regenerate, and conversation/artifact versioning (timeline, rollback, fork map) for DeepSeek Harness — Web and Desktop
Run Claude Code, Codex, Pi, or the built-in loop side by side in one dsh — pick the engine per session, switch without restarting, keep one session store, history, and trace.
DeepSeek Harness plugin for organizing AI discussions into research topics, traceable knowledge cards, and reusable research materials on an interactive graph
Trace DAG visualizer for the dsh web GUI: a conversation view tab that projects the official trajectory snapshot into a ReactFlow trace graph with dagre / d3-force layouts, hover highlighting, and a slide-out detail panel.
Embedded yiTrace plugin for DeepSeek Harness turns, model steps, and tool calls
决策地图 (Decision Map) — a DeepSeek Harness bundle plugin that renders the current session's execution trace as a readable timeline plus stat cards.
Network diagnostics toolbox for DeepSeek Harness (dsh): DNS lookup (A/AAAA/CNAME/MX/TXT/NS/SOA/SRV/PTR/CAA), ICMP ping, TCP port check, TLS certificate check, traceroute, WHOIS registry lookup, and public IP info — zero runtime dependencies
Plug-and-play proteomics analysis bundle for DeepSeek Harness: auto-managed R 4.4 runtime, step-wise traceable pipeline (normalize / PCA / batch / DEA / enrichment / GSEA), cached GO-KEGG annotation backgrounds.
DSH web plugin: an ink-and-paper Apple-glass theme with editorial typography, conversation status tabs, a Conversation/Trace switch, and a handwritten jimmy brand.
dsh-langfuse: Langfuse LLM observability for DeepSeek Harness — one OpenTelemetry trace tree per agent session, with feedback scores and subagent lineage.
Unified observability (trace/log/metric) for deepseek-harness plugins: hooks dsh session telemetry where available, maintains OTel signals where not, and exports via standard OTLP.
DSH web plugin: event-driven skill self-evolution. Watches agent execution traces, crystallizes reusable skills from successful turns via LLM review, progressively improves them, and manages everything in a dedicated Settings section.