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

123

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. 1

    其他
    活跃

    A Go-native framework for LLM agents, with OpenTelemetry observability built in.

    github实测增长打开来源 ↗

    10GitHub 星标稳定
  2. 2
    休眠

    Local open-source dev tool to debug, secure, and evaluate LLM agents. Provides static analysis, dynamic security checks, and runtime monitoring - integrates with Cursor and Claude Code.

    github实测增长打开来源 ↗

    安装 /plugin marketplace add cylestio/agent-inspector

    9GitHub 星标稳定
  3. 3

    技能
    活跃

    Anchor — the production-grade AGENTS.md template for AI coding agents. 51 sections of battle-tested rules. Keep your agents grounded.

    github实测增长打开来源 ↗

    安装 git clone https://github.com/peva3/anchor ~/.claude/skills/anchor

    8GitHub 星标稳定
  4. 4
    休眠

    A self-improving harness router for Claude Code.

    github实测增长打开来源 ↗

    安装 /plugin marketplace add SeongwoongCho/adaptive-harness

    8GitHub 星标稳定
  5. 5

    智能体
    活跃

    MemroOS / memroos: memory OS and governance layer for AI agents, agent workflows, dispatch, proof, and context continuity.

    github实测增长打开来源 ↗

    7GitHub 星标稳定
  6. 6

    技能
    活跃

    Axiom is a curated marketplace of shared plugins for Claude Code and Codex.

    github实测增长打开来源 ↗

    安装 git clone https://github.com/netopsengineer/axiom ~/.claude/skills/axiom

    5GitHub 星标稳定
  7. 7

    智能体
    休眠

    Real-time debugging proxy for Agent2Agent (A2A) multi-agent systems

    github实测增长打开来源 ↗

    3GitHub 星标稳定
  8. 8
    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
  9. 9

    智能体
    活跃

    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
  10. 10

    技能
    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-skills

    3GitHub 星标稳定
  11. 11
    活跃

    Claude Code skills where every entry ships receipts — accuracy-gated benchmarks against baseline and placebo, rejects published

    github实测增长打开来源 ↗

    安装 git clone https://github.com/sjh9714/skill-receipts ~/.claude/skills/skill-receipts

    2GitHub 星标稳定
  12. 12

    其他
    活跃

    Multi-agent customer support system with Google ADK & Gemini 2.5 Flash Lite. Kaggle capstone demonstrating 11+ concepts. Automates 80%+ queries, <10s response time.

    github实测增长打开来源 ↗

    2GitHub 星标稳定
  13. 13

    智能体
    休眠

    A Multi-Agent System (MAS) evaluation framework using PydanticAI that generates and evaluates scientific paper reviews through a three-tiered assessment approach: traditional metrics, LLM-as-a-Judge, and graph-based complexity analysis.

    github实测增长打开来源 ↗

    2GitHub 星标稳定
  14. 14
    活跃

    Multi-agent quality gate skill for Claude Code that researches, reviews, tests and challenges AI-generated work before the final answer.

    github实测增长打开来源 ↗

    安装 git clone https://github.com/ma-nucho-pro/supervisor-skill-claude ~/.claude/skills/supervisor-skill-claude

    2GitHub 星标稳定
  15. 15

    MCP
    活跃

    A typed, replayable, budget-aware programming language for LLM agents. Compiles to Python & TypeScript.

    github实测增长打开来源 ↗

    2GitHub 星标稳定
  16. 16
    活跃

    Mide si tu agente de IA cumple las reglas que le escribiste. Lee el historial local de Claude Code y devuelve un porcentaje por regla. Sin instalar nada, sin red, biblioteca estándar.

    github实测增长打开来源 ↗

    安装 git clone https://github.com/jleonceo/adherencia-reglas ~/.claude/skills/adherencia-reglas

    1GitHub 星标稳定
  17. 17

    智能体
    休眠

    The reliability and interoperability layer for AI agents. A2A-native. MCP-bridged.

    github实测增长打开来源 ↗

    1GitHub 星标稳定
  18. 18
    活跃

    Skill instalable para Claude Code que mide si tu agente cumple las reglas establecidas. Lee el historial de sesiones de tu disco y devuelve un porcentaje por regla de cumplimiento. Sin instalar nada, sin red, biblioteca estándar.

    github实测增长打开来源 ↗

    安装 /plugin marketplace add jleonceo/skill-adherencia-reglas

    1GitHub 星标稳定
  19. 19

    智能体
    活跃

    Agent 降智检测与自愈公评网络 — an immune system for the AI agent society

    github实测增长打开来源 ↗

    1GitHub 星标稳定
  20. 20
    活跃

    Local-first Agentic AI Infrastructure Platform with LLM Gateway, Agent DAG Runtime, MCP Tool Hub, A2A Agent Mesh, Local RAG, Tool Sandbox and Observability.

    github实测增长打开来源 ↗

    1GitHub 星标稳定
  21. 21
    休眠

    A safety-first multi-agent mental health companion with real-time distress tracking, triple-layer guardrails, and evidence-based grounding techniques. Built for Kaggle × Google Agents Intensive 2025 Capstone (Agents for Good Track)

    github实测增长打开来源 ↗

    1GitHub 星标稳定
  22. 22
    活跃

    Vendor-neutral OpenTelemetry tracing for A2A agents and MCP services, with W3C context propagation and privacy-safe telemetry.

    github实测增长打开来源 ↗

    1GitHub 星标稳定
  23. 23

    技能
    活跃

    Glanceable Claude Code and Codex state in your terminal tabs: white=idle, blue=working, orange=waiting. Multi-terminal (iTerm2, WezTerm, AI Power Term), a live status bar with Anthropic usage limits, /sfl and /nil window save-and-restore,…

    github实测增长打开来源 ↗

    安装 git clone https://github.com/wasulajr/headsup ~/.claude/skills/headsup

    1GitHub 星标稳定
  24. 24
    活跃

    Terminal-first validation harness for reviewing PRDs, RFCs, strategy docs, and experiment plans.

    github实测增长打开来源 ↗

    1GitHub 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. 1

    tunelab

    技能
    活跃打开来源 ↗

    Claude Code plugin for LLM fine-tuning, distillation, and evaluation — decide whether you need fine-tuning at all, distill your LLM logs into small local models (MLX/LoRA), evaluate with held-out discipline, and learn the why at every step.

    github

    安装 /plugin marketplace add rchaz/tunelab

    资源实测增长
    6GitHub 星标稳定