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LLM-Beobachtbarkeit

Monitoring, Traces, Bewertung und Qualität von LLM-Anwendungen.

Anwendungsfall

Aktivität

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76

Werkzeug-Rangliste

Nach gemessenem Wachstum und quellenübergreifend normalisiert sortiert. Rohwerte behalten ihr eigenes Zeitfenster; eine Änderung erfordert mindestens zwei Messungen in 7 Tagen.

  1. 1

    Skill
    Aktiv

    Real-time execution trace and cost intelligence for Claude Code

    githubgemessenes WachstumQuelle öffnen ↗

    Installieren /plugin marketplace add DeibyGS/claudestat

    34GitHub-Sternestabil
  2. 2

    Sonstige
    Aktiv

    AI-detector auditing toolkit: measures how often a detector flags genuine human writing, how stable its verdict is across seeds, and whether that verdict survives meaning-preserving edits. Detector-in-the-loop measurement harness. Claude…

    githubgemessenes WachstumQuelle öffnen ↗

    18GitHub-Sternestabil
  3. 3

    Skill
    Aktiv

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

    githubgemessenes WachstumQuelle öffnen ↗

    Installieren /plugin marketplace add shinpr/rashomon

    18GitHub-Sternestabil
  4. 4
    Aktiv

    Make Claude write clearly, for everyone.

    githubgemessenes WachstumQuelle öffnen ↗

    Installieren /plugin marketplace add stefanobaghino/simple-output-styles

    16GitHub-Sternestabil
  5. 5
    Aktiv

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

    mcpgemessenes WachstumQuelle öffnen ↗

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

    12GitHub-Sternestabil
  6. 6

    Sonstige
    Aktiv

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

    githubgemessenes WachstumQuelle öffnen ↗

    10GitHub-Sternestabil
  7. 7

    Skill
    Aktiv

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

    githubgemessenes WachstumQuelle öffnen ↗

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

    8GitHub-Sternestabil
  8. 8

    Agent
    Aktiv

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

    githubgemessenes WachstumQuelle öffnen ↗

    7GitHub-Sternestabil
  9. 9

    Skill
    Aktiv

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

    githubgemessenes WachstumQuelle öffnen ↗

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

    5GitHub-Sternestabil
  10. 10

    Skill
    Aktiv

    Marketing Mix Model expert agent plugin for Claude Code - pymc-marketing v0.18.2+

    githubgemessenes WachstumQuelle öffnen ↗

    Installieren /plugin marketplace add Yakoub-ai/agent-mmm

    4GitHub-Sternestabil
  11. 11
    Aktiv

    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…

    githubgemessenes WachstumQuelle öffnen ↗

    3GitHub-Sternestabil
  12. 12

    MCP
    Aktiv

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

    githubgemessenes WachstumQuelle öffnen ↗

    2GitHub-Sternestabil
  13. 13
    Aktiv

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

    githubgemessenes WachstumQuelle öffnen ↗

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

    2GitHub-Sternestabil
  14. 14
    Aktiv

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

    githubgemessenes WachstumQuelle öffnen ↗

    1GitHub-Sternestabil
  15. 15

    Skill
    Aktiv

    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,…

    githubgemessenes WachstumQuelle öffnen ↗

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

    1GitHub-Sternestabil
  16. 16

    Agent
    Aktiv

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

    githubgemessenes WachstumQuelle öffnen ↗

    1GitHub-Sternestabil
  17. 17
    Aktiv

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

    githubgemessenes WachstumQuelle öffnen ↗

    1GitHub-Sternestabil
  18. 18

    Agent
    Aktiv

    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…

    githubgemessenes WachstumQuelle öffnen ↗

    1GitHub-Sternestabil
  19. 19

    Sonstige
    Aktiv

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

    githubgemessenes WachstumQuelle öffnen ↗

    1GitHub-Sternestabil
  20. 20

    Agent
    Aktiv

    面向长程研发任务的 Java Agent Harness,支持 A2A 跨语言协作、可恢复执行、上下文工程与 Eval 驱动开发。

    githubgemessenes WachstumQuelle öffnen ↗

    0GitHub-Sternestabil
  21. 21

    Agent
    Aktiv

    Provide clear documentation for AgentStack’s MCP protocol, plugins, and ecosystem API with usage examples and tool references.

    githubgemessenes WachstumQuelle öffnen ↗

    0GitHub-Sternestabil
  22. 22
    Aktiv

    Architecture-first Python scaffold for an auditable multi-agent corporate credit desk using A2A, MCP, deterministic credit policies, model routing, and OpenTelemetry.

    githubgemessenes WachstumQuelle öffnen ↗

    0GitHub-Sternestabil
  23. 23
    Aktiv

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

    mcpgemessenes WachstumQuelle öffnen ↗

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

    0GitHub-Sternestabil
  24. 24

    Agent
    Aktiv

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

    githubgemessenes WachstumQuelle öffnen ↗

    0GitHub-Sternestabil

Lern- und Referenzressourcen

Nach gemessenem Wachstum und quellenübergreifend normalisiert sortiert. Diese Ressourcen bleiben getrennt zugänglich und fließen nicht in die Hauptwertung ein.

  1. 1
    AktivQuelle öffnen ↗

    My complete journey to becoming an Agentic AI Engineer through structured learning, projects, experiments, and production-ready implementations of modern AI systems.

    githubRessourcegemessenes Wachstum
    18GitHub-Sternestabil