dsh-maze
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
13 results
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
Standalone OpenTelemetry GenAI observability plugin for DeepSeek Harness
Langfuse observability for DeepSeek Harness: OpenTelemetry traces, compaction, feedback Scores, and fork lineage
Embedded yiTrace plugin for DeepSeek Harness turns, model steps, and tool calls
dsh-langfuse: Langfuse LLM observability for DeepSeek Harness — one OpenTelemetry trace tree per agent session, with feedback scores and subagent lineage.
Litefuse observability for DeepSeek Harness: every user turn becomes one agent trace with per-call generations, tool spans, and subagent subtrees
Maestro observe — trace/health/cost debug tooling (Phase 3)
Local JSONL run traces and a live viewer for DeepSeek Harness sessions
DeepSeek Harness plugin: export OpenTelemetry spans for turns, steps, and tool calls from a session log, over OTLP/HTTP or stdout, through the otel_export tool
OpenTelemetry and Langfuse observability exporter for DeepSeek Harness: turn/step/tool/LLM spans, token and cost metrics, and sanitized LLM prompt/completion capture from the session/event stream, with async batching, bounded offline buffering, and retry
Local-first Skill load evidence, learning cards, and iteration preparation for DeepSeek Harness
A DeepSeek Harness Web plugin for inspecting redacted LLM HTTP request and response traces.
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