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聚合 GitHub 上的 DSH 插件,打造 DeepSeek Harness 生态的一站式目录。

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更新时间
10/07 02:01

47 个项目,匹配「observability」

部署运维 基础设施

sandbase-harness

sandbaseai

Local-first, self-hosted AI agent runtime and MCP bridge with sandboxed sessions, memory, credentials, audit/replay, and a local Console.

agent-harness agent-observability agent-plugin agent-runtime
安全与治理 技能

ANOLISA

agentic-os-org

ANOLISA (Agentic Nexus Operating Layer & Interface System Architecture) | Agentic OS with runtime, security, observability, and Tokenless response compression for lower token usage and cost.

agent-infrastructure agent-memory agent-runtime agent-security
部署运维 插件

dsh-watcher

aa2246740

Read-only Agent work-path observer for DeepSeek Harness

agent-observability deepseek-harness dsh dsh-plugin
部署运维 基础设施

tokenbank

wink-run

Token Bank — the local LLM gateway that sits between your AI agents and every provider. Know where tokens go · Spend less with smart routing to Ollama, Groq, GitHub Models · Earn by sharing idle quota on a community P2P network. One-click onboarding for Cursor, Claude Code, Codex CLI, Gemini CLI — no agent changes. Full trace, seamless model swap

agent anthropic claudecode codex
部署运维 基础设施

dsh-maze

lamost423

DeepSeek Harness 的执行迷宫——看 Agent 真实怎么干活:迷宫时间轴 · 数据轨道 · 确定性执行分析 · 多会话对比 | The execution maze for DSH agents: maze timeline, per-step data tracks, deterministic execution analysis, multi-session comparison. Formerly dsh-trace-compare.

agent-observability agent-trajectory ai-agents deepseek-harness
模型与 MCP 基础设施

dsh-mcp-panel

PerryLink

MCP management console for the official DeepSeek Harness MCP client: /mcp command with health diagnostics and pipeline trial calls, a Settings MCP tab with server CRUD (approval-gated writes, automatic backups) and a tool trial console over the official tool pipeline (Apache-2.0, dsh-plugin).

ai-agent ai-agents cordis deepseek
部署运维 基础设施

dsh-plugin

loongsuite

OpenTelemetry tracing for DeepSeek Harness (dsh): turns each agent turn into a GenAI span tree — steps, LLM calls with TTFT, tool executions, token usage — exported over standard OTLP to Jaeger, Grafana Tempo, SigNoz, Langfuse, or any compatible backend.

agent-observability ai-coding deepseek-harness distributed-tracing
部署运维 插件

dsh-deepcanary

Oscar-Williams

Know when your DeepSeek Harness tasks need you. Local alerts, quiet notifications, and a task inbox.

agent-observability attention-management deepcanary deepseek
开发工具 技能

oh-my-knowledge

lizhiyao

OMK — Evidence-backed evaluation and observability for prompts, RAG, skills, agents, and workflows. Native Codex, Claude Code, and DeepSeek Harness support.

agent-evaluation ai benchmark bootstrap-ci
部署运维 基础设施

pi-trace-extension

npxcnency-ux

Langfuse-style trace viewer for pi-agent — local-first, zero-setup, single-file HTML

agent dsh-plugin langfuse llm
部署运维 基础设施

tencentcloud-agentobs-sdk-dsh 是一个 DeepSeek Harness (DSH) 可观测插件,直接将 GenAI trace 数据上报到腾讯云日志服务 (CLS)。 它观察 DSH 原生的 session、agent loop、LLM stream 和 tool 生命周期,将其转换为 腾讯云AI Agent可观测规范的 5 层 span 层级模型(entry → agent → step → chat → tool),并通过 tencentcloud-cls-sdk-js 直接上报到 CLS,无需额外部署 OTLP 收集器或 sidecar。

agent-observability ai-coding deepseek-harness dsh
部署运维 基础设施

dsh-observe

PerryLink

OpenTelemetry and Langfuse observability exporter for DeepSeek Harness: turn/step/tool/LLM spans, token and cost metrics, sanitized prompt/completion capture, async batching, bounded offline buffering, retry with backoff

ai-agent ai-agents cordis deepseek
部署运维 插件

Langfuse observability for DeepSeek Harness (dsh): exports agent sessions as OpenTelemetry trace trees (GenAI semconv) to Langfuse's OTLP endpoint

agent-tracing deepseek-harness dsh-plugin langfuse
部署运维 基础设施

dsh-whale-meter

Shiye-10Pages

🐳 鲸鱼电表:你在 DeepSeek Harness 上烧了多少 token?消耗量段位、可晒的战绩卡、6 家厂商 46 个模型精准计价(含国内分档)、8·17 调价前后对比。零配置,数据全在本机 | Token usage tiers & cost dashboard for DSH

agent ai-cost billing cordis
部署运维 基础设施

dsh-budget

PerryLink

Cost governance for DeepSeek Harness: aggregated token/cost metering per model, session and day, budget caps with threshold alerts and over-limit policies, carbon footprint estimation, per-model latency benchmarks, a Settings budget tab, and the /budget command

ai-agent ai-agents budget carbon-footprint
部署运维 基础设施

dsh-otel

tma1-ai

What a DeepSeek Harness run costs in tokens, money, and time. OpenTelemetry traces, metrics, and logs in GreptimeDB, with seven Grafana dashboards.

deepseek deepseek-harness dsh dsh-plugin
部署运维 基础设施

dsh-fast

PerryLink

Read-only performance diagnostics for DeepSeek Harness: session load/restore timing, spill-hit counts, compaction count and trigger, context-injection volume (AGENTS.md/skills/tool-schema token share), and LLM cache hit rate — surfaced via /fast, persisted as reconstructable session events with async sampling off the model path.

ai-agent ai-agents context-engineering cordis
部署运维 基础设施

Local-first failure evidence capsules for DeepSeek Harness sessions

debugging deepseek-harness dsh-plugin incident-response
部署运维 基础设施

dsh-grafana

guhanfei-ai

Agent-native Grafana observability for DeepSeek Harness — dashboards, metrics, trends, alerts and multi-source investigation.

agent-observability ai-agent alerts deepseek-harness
开发工具 插件

dsh-trace-insight

Liu-Bot24

DeepSeek Harness(DSH)只读执行轨迹复盘插件,支持规则分析、独立模型解读、证据定位、任务概览与运行对比。

agent-observability ai-agents deepseek-harness developer-tools
文件与数据 插件

DeepSeek Harness usage dashboard with API balance, daily spend, external vision-call accounting, per-model stats, call logs, cache rate, TTFT, and CSV export.

dashboard deepseek-harness dsh dsh-plugin
部署运维 插件

Mission Control dashboard and human-review workflow for DeepSeek Harness sessions, turns, and tool activity.

agent-observability deepseek-harness dsh-plugin mission-control
部署运维 技能

Zero-touch runtime telemetry for DeepSeek Harness: every session writes its own report card (task/model/tools/failures/duration) into a human-readable journal. 纯观察者运行事实遥测。

deepseek-harness dsh dsh-plugin observability
部署运维 基础设施

dsh-driftwatch

Edge-Echo

Behavior-drift reports for DeepSeek Harness agents: compare two session logs and see exactly how behavior changed — tool sequence, file operations, reasoning volume, timing, retries — zero dependencies, CI-ready.

behavior-drift deepseek-harness dsh-plugin observability