工具说明为英文。
LLM 可观测性
LLM 应用的监控、追踪、评估和质量管理。
用途
活跃度
排序方式
117
工具排名
按实测增长排序，并在不同来源间归一化。 原始值保留各自的数据窗口；计算变化需要 7 天内至少两次测量。
- 1活跃
mlflow
智能体The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models…
github实测增长打开来源 ↗
27 783GitHub 星标+82 (+0.30 %) - 2活跃
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
github实测增长打开来源 ↗
23 766GitHub 星标+66 (+0.28 %) - 322 509GitHub 星标+40 (+0.18 %)
- 4活跃
signoz
其他SigNoz is an open-source, OpenTelemetry-native observability platform for your team and their AI agents. Get logs, metrics, and traces in one tool with features like APM, distributed tracing, log management, infra monitoring, etc. Combined…
github实测增长打开来源 ↗
32 003GitHub 星标+50 (+0.16 %) - 5活跃
superlog
其他Open-source observability tool that uses AI agents to self-heal your software
github实测增长打开来源 ↗
1 404GitHub 星标+2 (+0.14 %) - 6782GitHub 星标+1 (+0.13 %)
- 725 047GitHub 星标+29 (+0.12 %)
- 8活跃
A skill creator that proves its skills work. Evidence-driven skill creation for Claude Code and Codex: baseline-tested generation, per-skill regression evals, ecosystem doctor, cross-runtime compile, and an opt-in proactive advisor.
github实测增长打开来源 ↗
安装
git clone https://github.com/tripleyak/SkillForge ~/.claude/skills/SkillForge884GitHub 星标+1 (+0.11 %) - 9活跃
netdata
其他The fastest path to AI-powered full stack observability, even for lean teams.
github实测增长打开来源 ↗
80 412GitHub 星标+85 (+0.11 %) - 10活跃
kubeshark
智能体eBPF-powered network observability for Kubernetes. Indexes L4/L7 traffic with full K8s context, decrypts TLS without keys. Queryable by AI agents via MCP and humans via dashboard.
github实测增长打开来源 ↗
12 068GitHub 星标+8 (+0.07 %) - 11活跃
The container platform tailored for Kubernetes multi-cloud, datacenter, and edge management ⎈ 🖥 ☁️
github实测增长打开来源 ↗
安装
git clone https://github.com/kubesphere/kubesphere ~/.claude/skills/kubesphere17 037GitHub 星标+8 (+0.05 %) - 12活跃
langfuse-mcp
MCPA Model Context Protocol (MCP) server for Langfuse, enabling AI agents to query Langfuse trace data for enhanced debugging and observability
github实测增长打开来源 ↗
105GitHub 星标稳定 - 13休眠
anti-lie
技能Don't make LLMs honest. Make every factual claim auditable. — An LLM Claim Auditing Layer with T1-T7 truth gradients. 98.1% business effectiveness on LiarBench v0.2.
github实测增长打开来源 ↗
安装
git clone https://github.com/lc198707/anti-lie ~/.claude/skills/anti-lie89GitHub 星标稳定 - 14活跃
MCP server for Langfuse LLM observability — trace and observation analysis.
mcp实测增长打开来源 ↗
安装
claude mcp add langfuse -- npx langfuse-observability-mcp-server78GitHub 星标稳定 - 15活跃
AgentX python SDK. Build multi-agent AI workforce. Run evaluation. Trace your agent. Full Observability.
github实测增长打开来源 ↗
68GitHub 星标稳定 - 16活跃
🟪 Open-source runtime that ships any LangGraph or Google ADK agent as a production-ready FastAPI service. Bundled , AG-UI copilotkit API, chat UI, 15+ guardrails, MCP, OpenTelemetry, OIDC. One pip install. Self-hosted, no vendor lock-in.
github实测增长打开来源 ↗
安装
git clone https://github.com/Idun-Group/idun-agent-platform ~/.claude/skills/idun-agent-platform198GitHub 星标-1 (-0.50 %) - 17活跃
aura
MCPAURA is a production-tested SRE agent platform you can deploy in minutes. AURA handles the guardrails, APIs, state management, streaming, and failure handling required to put AI to work safely on production infrastructure.
github实测增长打开来源 ↗
254GitHub 星标-3 (-1.2 %) - 18活跃
Self-hosted AI SRE for Kubernetes — zero-instrumentation eBPF observability plus a copilot that fixes issues through guardrailed, self-verifying actions. BYO-LLM, air-gapped capable.
github实测增长打开来源 ↗
131GitHub 星标-4 (-3.0 %) - 19活跃
74 open-source Agent Skills for Claude Code and Codex: AI SEO, AEO and GEO, code review with an A-F ship grade, CI gates, AI evals, design systems, conversion copy, Instagram growth, iOS and Android app shipping, creator rights, and…
github实测增长打开来源 ↗
129GitHub 星标-4 (-3.0 %) - 20活跃
Open benchmark for Claude Code SEO skills — real headless execution against fixture sites with planted-defect answer keys. Deterministic scoring, pre-registered rubric.
github实测增长打开来源 ↗
安装
git clone https://github.com/aleclindz/seo-skill-bench ~/.claude/skills/seo-skill-bench51GitHub 星标-5 (-8.9 %) - 21活跃
Production reliability, benchmarking, and evaluation layer for MCP agent runtimes — protocol negotiation, A2A interop, circuit breakers, connection pooling, adaptive streaming, and autoscaling, with measured throughput/latency and a…
github实测增长打开来源 ↗
3GitHub 星标稳定 - 22休眠
An assembly line for AI software development. 35 skills, 11 agent personas, 29 commands. From raw idea to shipped code.
github实测增长打开来源 ↗
安装
/plugin marketplace add aneja5/forge-skills3GitHub 星标稳定 - 23活跃
Architecture-first Python scaffold for an auditable multi-agent corporate credit desk using A2A, MCP, deterministic credit policies, model routing, and OpenTelemetry.
github实测增长打开来源 ↗
0GitHub 星标稳定 - 24活跃
sre-on-call
智能体Multi-agent SRE on-call investigator that auto-triages Slack/Discord infrastructure alerts via AWS Bedrock AgentCore, fanning out to specialized agents (CloudWatch, EKS, Slack/Discord scanners) for parallel investigation.
github实测增长打开来源 ↗
3GitHub 星标稳定
学习与参考资源
按实测增长排序，并在不同来源间归一化。 这些资源可单独访问，不参与主要排名。
- 1活跃打开来源 ↗
Curated + scored map of official MCP servers and agents for DevOps, Cloud, SRE, and Platform Engineering — every entry rated on production access, approval gates, and audit evidence.
github资源实测增长77GitHub 星标稳定