Die Werkzeugbeschreibungen sind auf Englisch.

LLM-Beobachtbarkeit

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

Anwendungsfall

Aktivität

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123

Werkzeug-Rangliste

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

  1. 1
    Aktiv

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

    githubgemessenes WachstumQuelle öffnen ↗

    1GitHub-Sternestabil
  2. 2
    Aktiv

    Agent 降智检测与自愈公评网络 — an immune system for the AI agent society

    githubgemessenes WachstumQuelle öffnen ↗

    1GitHub-Sternestabil
  3. 3

    Agent
    Ruhend

    The reliability and interoperability layer for AI agents. A2A-native. MCP-bridged.

    githubgemessenes WachstumQuelle öffnen ↗

    1GitHub-Sternestabil
  4. 4
    Aktiv

    8 MCP SMB products — standalone AI servers for SMBs: Guardrails, FinOps, Observability, Router, Trust Score, Memory, ThinkSecure, A2A Lite. 37 tools, TNC credits billing.

    githubgemessenes WachstumQuelle öffnen ↗

    1GitHub-Sternestabil
  5. 5
    Aktiv

    Mide si tu agente de IA cumple las reglas que le escribiste. Lee el historial local de Claude Code y devuelve un porcentaje por regla. Sin instalar nada, sin red, biblioteca estándar.

    githubgemessenes WachstumQuelle öffnen ↗

    Installieren git clone https://github.com/jleonceo/adherencia-reglas ~/.claude/skills/adherencia-reglas

    1GitHub-Sternestabil
  6. 6

    Agent
    Aktiv

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

    githubgemessenes WachstumQuelle öffnen ↗

    1GitHub-Sternestabil
  7. 7

    Agent
    Aktiv

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

    githubgemessenes WachstumQuelle öffnen ↗

    1GitHub-Sternestabil
  8. 8
    Aktiv

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

    githubgemessenes WachstumQuelle öffnen ↗

    1GitHub-Sternestabil
  9. 9
    Aktiv

    Agent Skill that asks: should there be an agentic system at all? Then designs, builds, audits, verifies, and ports systems—from workflows to governed teams.

    githubgemessenes WachstumQuelle öffnen ↗

    Installieren git clone https://github.com/ingcontartese-netizen/multi-agent-system-architect-v2 ~/.claude/skills/multi-agent-system-architect-v2

    1GitHub-Sternestabil
  10. 10

    Agent
    Aktiv

    Experimental no-install semantic language for AI agents: typed action/state, safe NL/JSON fallback, and falsifiable public evals. Try the one-file probe.

    githubgemessenes WachstumQuelle öffnen ↗

    1GitHub-Sternestabil
  11. 11

    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
  12. 12

    Agent
    Aktiv

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

    githubgemessenes WachstumQuelle öffnen ↗

    0GitHub-Sternestabil
  13. 13
    Ruhend

    OpenTelemetry semantic conventions and instrumentation for agent provenance, derivation lineage, and acceptance criteria evaluation. Fills the Microsoft AI stack observability gap.

    githubgemessenes WachstumQuelle öffnen ↗

    0GitHub-Sternestabil
  14. 14
    Aktiv

    AgentGateway — independent third-party profile of a public API surface, by API Evangelist. AgentGateway is an open-source, AI-native proxy and gateway for routing, observing, and governing traffic to and from AI agents, LLM providers, and…

    githubgemessenes WachstumQuelle öffnen ↗

    0GitHub-Sternestabil
  15. 15
    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
  16. 16
    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
  17. 17

    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
  18. 18

    Agent
    Ruhend

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

    githubgemessenes WachstumQuelle öffnen ↗

    0GitHub-Sternestabil
  19. 19
    Ruhend

    An AI-powered multi-agent system that demonstrates clinical triage, OTC medication recommendations, and e-pharmacy integration for respiratory conditions. Built with modular agents that collaborate to provide safe, intelligent healthcare…

    githubgemessenes WachstumQuelle öffnen ↗

    0GitHub-Sternestabil
  20. 20
    Ruhend

    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.

    githubgemessenes WachstumQuelle öffnen ↗

    0GitHub-Sternestabil
  21. 21

    Sonstige
    Aktiv

    A cron that remembers what it did—a CLI job scheduler with run history, captured output, and a live terminal dashboard.

    githubgeschätztes MomentumQuelle öffnen ↗

    216GitHub-Sterne
  22. 22

    Sonstige
    Aktiv

    User-impact-weighted SLO dashboard — measure true 99.99% uptime by actual customer exposure, not raw availability

    githubgeschätztes MomentumQuelle öffnen ↗

    100GitHub-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 ↗

    Handbook técnico aberto sobre engenharia de IA em produção: ML tradicional, LLMs, RAG, agentes, segurança, observabilidade, FinOps e deployment.

    githubRessourcegemessenes Wachstum
    1GitHub-Sternestabil