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

122

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
    活跃

    Audit which Claude Code skills you actually use — surface dead installs and hallucinated invocations from your session logs.

    github实测增长打开来源 ↗

    安装 /plugin marketplace add sfrangulov/skill-graveyard

    10GitHub 星标稳定
  2. 2
    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
  3. 3

    技能
    活跃

    Production-grade AI coding rules for Cursor and Claude Code. 15 rules + 9 doc templates + skills + agents + MCP setup. Drop into any project.

    github实测增长打开来源 ↗

    安装 git clone https://github.com/aiagentwithdhruv/ai-dev-stack ~/.claude/skills/ai-dev-stack

    10GitHub 星标稳定
  4. 4

    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
  5. 5

    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
  6. 6

    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
  7. 7

    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
  8. 8

    智能体
    活跃

    Generic DeepSeek Harness (dsh) plugins: A2A protocol server, session storage mirror, and Langfuse observability.

    github实测增长打开来源 ↗

    1GitHub 星标稳定
  9. 9
    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
  10. 10

    智能体
    活跃

    A local A2A event and continuity service for agent applications, with structured history, provenance-safe transcripts, literal search, and natural-language queries.

    github实测增长打开来源 ↗

    1GitHub 星标稳定
  11. 11
    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
  12. 12

    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
  13. 13
    活跃

    Query Spanlens LLM observability from Cursor, Claude Desktop, or Continue via MCP.

    mcp实测增长打开来源 ↗

    安装 claude mcp add mcp-server -- npx @spanlens/mcp-server

    12GitHub 星标稳定
  14. 14
    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
  15. 15

    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
  16. 16
    活跃

    Claude Code plugin marketplace — agentic-engineering (spec-driven shape→decide→execute→measure→eval with adversarial review) + github-keeper (audit/elevate READMEs and make a repo open-source-ready).

    github实测增长打开来源 ↗

    安装 /plugin marketplace add GiustoPiedimonte/agentic-engineering-marketplace

    13GitHub 星标稳定
  17. 17
    活跃

    Self improving agents through iterations

    github实测增长打开来源 ↗

    104GitHub 星标稳定
  18. 18

    技能
    活跃

    Measure prompt and skill improvements with blind A/B comparison.

    github实测增长打开来源 ↗

    安装 /plugin marketplace add shinpr/rashomon

    18GitHub 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

    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
  21. 21

    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
  22. 22

    其他
    休眠

    A Claude Code skill that adds a rubric-based eval layer to any agent project. Framework-agnostic — generates rubric, test cases, judge prompt, and harness. Returns a weighted score plus a judge-leniency signal.

    github实测增长打开来源 ↗

    13GitHub 星标稳定
  23. 23

    智能体
    活跃

    Local-first control plane for durable, governed agent teams: DAG orchestration, approvals, memory, signed skills, trace contracts, and realtime.

    github实测增长打开来源 ↗

    0GitHub 星标稳定
  24. 24

    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
  25. 25

    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