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

120

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

    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
  2. 2

    其他
    活跃

    AI SRE AgenticOps for Kubernetes and cloud infrastructure.

    github实测增长打开来源 ↗

    782GitHub 星标+1 (+0.13 %)
  3. 3

    智能体
    活跃

    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 %)
  4. 4

    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 %)
  5. 5

    其他
    活跃

    A high-performance observability data pipeline.

    github实测增长打开来源 ↗

    22 509GitHub 星标+40 (+0.18 %)
  6. 6

    其他
    活跃

    Open source observability platform for logs, metrics, traces, frontend monitoring, pipelines and LLM observability. A sophisticated, simple and highly performant alternative to Datadog, Splunk, and Elasticsearch with 140x lower storage…

    github实测增长打开来源 ↗

    21 615GitHub 星标+96 (+0.45 %)
  7. 7

    其他
    活跃

    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 %)
  8. 8

    其他
    活跃

    Mastra is the modern TypeScript framework for AI-powered applications and agents.

    github实测增长打开来源 ↗

    27 658GitHub 星标+128 (+0.46 %)
  9. 9

    其他
    活跃

    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. 10
    活跃

    🫖 Status page with uptime monitoring & API monitoring as code 🫖

    github实测增长打开来源 ↗

    9 056GitHub 星标+31 (+0.34 %)
  11. 11

    其他
    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 %)
  12. 12

    其他
    活跃

    eBPF-based Networking, Security, and Observability

    github实测增长打开来源 ↗

    25 047GitHub 星标+29 (+0.12 %)
  13. 13

    智能体
    活跃

    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 %)
  14. 14

    智能体
    活跃

    DataBuff is an AI-native APM built on Opentelemetry,with multi-agent troubleshooting out of the box.

    github实测增长打开来源 ↗

    642GitHub 星标+32 (+5.2 %)
  15. 15

    其他
    活跃

    Evidence-first infrastructure for reproducible, isolated executable evaluation and online rewards.

    github实测增长打开来源 ↗

    140GitHub 星标+24 (+20.7 %)
  16. 16

    技能
    活跃

    The Fable Workflow: how Claude Fable 5 worked, distilled into skills any model can run, with the eval that keeps it honest. Think / act / prove.

    github实测增长打开来源 ↗

    安装 git clone https://github.com/Sahir619/fable-method ~/.claude/skills/fable-method

    2 272GitHub 星标+16 (+0.71 %)
  17. 17

    智能体
    活跃

    The Operating System for Scalable Enterprise AI Agents - Run, orchestrate, and deploy Compliant Enterprise AI Agents at scale across frameworks, without lock-in, rewrites or fragile glue code. Native support for MCP, A2A. Interface with all…

    github实测增长打开来源 ↗

    156GitHub 星标+19 (+13.9 %)
  18. 18
    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
  19. 19

    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
  20. 20
    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
  21. 21

    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
  22. 22

    MCP
    活跃

    AURA 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 %)
  23. 23

    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
  24. 24

    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
  25. 25
    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