Die Werkzeugbeschreibungen sind auf Englisch.

LLM-Beobachtbarkeit

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

Anwendungsfall

Aktivität

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75

Werkzeug-Rangliste

Gemischte Rangfolge: Gemessenes Wachstum hat Vorrang. Rohwerte behalten ihr eigenes Zeitfenster; eine Änderung erfordert mindestens zwei Messungen in 7 Tagen.

  1. 1

    Sonstige
    Aktiv

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

    githubgemessenes WachstumQuelle öffnen ↗

    10GitHub-Sternestabil
  2. 2
    Aktiv

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

    githubgemessenes WachstumQuelle öffnen ↗

    1GitHub-Sternestabil
  3. 3

    Agent
    Aktiv

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

    githubgemessenes WachstumQuelle öffnen ↗

    1GitHub-Sternestabil
  4. 4
    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
  5. 5

    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
  6. 6
    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
  7. 7
    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
  8. 8
    Aktiv

    Self improving agents through iterations

    githubgemessenes WachstumQuelle öffnen ↗

    104GitHub-Sternestabil
  9. 9

    Skill
    Aktiv

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

    githubgemessenes WachstumQuelle öffnen ↗

    Installieren /plugin marketplace add shinpr/rashomon

    18GitHub-Sternestabil
  10. 10

    MCP
    Aktiv

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

    githubgemessenes WachstumQuelle öffnen ↗

    2GitHub-Sternestabil
  11. 11

    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
  12. 12

    Agent
    Aktiv

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

    githubgemessenes WachstumQuelle öffnen ↗

    7GitHub-Sternestabil
  13. 13
    Aktiv

    Make Claude write clearly, for everyone.

    githubgemessenes WachstumQuelle öffnen ↗

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

    16GitHub-Sternestabil
  14. 14

    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
  15. 15

    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
  16. 16
    Aktiv

    A Model Context Protocol (MCP) server for Langfuse, enabling AI agents to query Langfuse trace data for enhanced debugging and observability

    githubgemessenes WachstumQuelle öffnen ↗

    105GitHub-Sternestabil
  17. 17
    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
  18. 18
    Aktiv

    Build tested agent skills and govern their lifecycle through a user-defined marketplace: evidence, discovery, updates, rollback, quarantine, and 17-platform distribution.

    githubgemessenes WachstumQuelle öffnen ↗

    Installieren git clone https://github.com/FrancyJGLisboa/agent-skills-platform ~/.claude/skills/agent-skills-platform

    2 376GitHub-Sternestabil
  19. 19
    Aktiv

    Run many AIs on one board and keep control of all of it. Deterministic code decides who acts — never a model. A privacy floor keeps sensitive work on your machine, your own tests decide what counts as done, and every action lands on a…

    githubgemessenes WachstumQuelle öffnen ↗

    Installieren git clone https://github.com/sandhusukhdeep2/sc-prism-releases ~/.claude/skills/sc-prism-releases

    1GitHub-Sternestabil
  20. 20

    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
  21. 21
    Aktiv

    74 open-source Agent Skills for Claude Code and Codex: AI SEO, AEO and GEO, code review with an A-F ship grade, CI gates, AI evals, design systems, conversion copy, Instagram growth, iOS and Android app shipping, creator rights, and…

    githubgemessenes WachstumQuelle öffnen ↗

    129GitHub-Sterne-4 (-3.0 %)
  22. 22

    Sonstige
    Aktiv

    Open-source observability tool that uses AI agents to self-heal your software

    githubgeschätztes MomentumQuelle öffnen ↗

    1 404GitHub-Sterne

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
  2. 2
    AktivQuelle öffnen ↗

    Curated + scored map of official MCP servers and agents for DevOps, Cloud, SRE, and Platform Engineering — every entry rated on production access, approval gates, and audit evidence.

    githubRessourcegemessenes Wachstum
    77GitHub-Sternestabil
  3. 3
    AktivQuelle öffnen ↗

    Documentation-discovery telemetry for Claude Code — heat/cold maps, health grade, evidence-backed router fixes. 100% local, zero tokens. /tt

    github

    Installieren /plugin marketplace add Hedde/trigger_tree

    Ressourcegemessenes Wachstum
    14GitHub-Sternestabil