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

121

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

    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
  2. 2
    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
  3. 3

    其他
    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
  4. 4
    活跃

    Governed local-LLM observability: model policy, prompt scanner, capture proxy, 21 tools.

    mcp实测增长打开来源 ↗

    安装 claude mcp add ai-guardian -- uvx ai-guardian-aiops

    0GitHub 星标稳定
  5. 5
    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
  6. 6

    其他
    休眠

    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
  7. 7

    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
  8. 8
    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
  9. 9

    智能体
    活跃

    The agent framework where the model never holds the trigger — every consequential action clears your policy first, waits for a human when it matters, and lands on a record you can verify. Build on it, or put it around the agent you already…

    github实测增长打开来源 ↗

    1GitHub 星标稳定
  10. 10

    智能体
    休眠

    Contract-based testing for LLM agents: hybrid evaluation, multi-agent + A2A, deterministic replay.

    github实测增长打开来源 ↗

    0GitHub 星标稳定
  11. 11

    技能
    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/kubesphere

    17 035GitHub 星标稳定
  12. 12

    技能
    活跃

    Real-time execution trace and cost intelligence for Claude Code

    github实测增长打开来源 ↗

    安装 /plugin marketplace add DeibyGS/claudestat

    34GitHub 星标稳定
  13. 13

    智能体
    活跃

    A lightweight Python library that decouples agentic runtime from applications it builds

    github实测增长打开来源 ↗

    1GitHub 星标稳定
  14. 14

    智能体
    活跃

    A2A green-agent orchestrator for evaluating agents on the AppWorld benchmark, built on the AgentBeats SDK

    github实测增长打开来源 ↗

    0GitHub 星标稳定
  15. 15
    休眠

    A Python proof-of-concept for tracing multi-turn Agent-to-Agent (A2A) conversations as a single unified MLflow trace for LLM observability and evaluation.

    github实测增长打开来源 ↗

    0GitHub 星标稳定
  16. 16
    休眠

    🔍 AI observability skill for Claude Code. Debug LangChain/LangGraph agents by fetching execution traces from LangSmith Studio directly in your terminal.

    github实测增长打开来源 ↗

    安装 git clone https://github.com/OthmanAdi/langsmith-fetch-skill ~/.claude/skills/langsmith-fetch-skill

    27GitHub 星标稳定
  17. 17

    其他
    活跃

    🔑 HomeStream · 家园·流 — 零成本自托管多Agent协作框架,通往AI世界的那把钥匙 | Zero-cost self-hosted multi-agent framework — The key to AI world

    github实测增长打开来源 ↗

    0GitHub 星标稳定
  18. 18

    智能体
    休眠

    Policy-enforced observability and fail-closed guardrails for MCP/A2A multi-agent systems.

    github实测增长打开来源 ↗

    26GitHub 星标稳定
  19. 19
    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
  20. 20

    MCP
    休眠

    Open-source Python framework to deploy AI agents via HTTP, A2A, and MCP with built-in observability

    github实测增长打开来源 ↗

    5GitHub 星标稳定
  21. 21

    技能
    活跃

    Turn one decision into a judged tournament of solutions, then pick the best — a Claude Code skill that generates candidates, auto-derives the rubric, judges independently, and returns a defensible winner.

    github实测增长打开来源 ↗

    安装 /plugin marketplace add CoriChui/bakeoff

    10GitHub 星标稳定
  22. 22

    智能体
    活跃

    Deterministic crash tests for agent control planes: paired worlds, hard stops, budgets, scopes, approvals, and hash-linked receipts.

    github实测增长打开来源 ↗

    1GitHub 星标稳定
  23. 23
    活跃

    Sentry instrumentation skill for system-behavior tracking

    github实测增长打开来源 ↗

    安装 git clone https://github.com/tortastudios/sentry-instrumentation ~/.claude/skills/sentry-instrumentation

    24GitHub 星标稳定
  24. 24
    活跃

    A 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
  25. 25

    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