Die Werkzeugbeschreibungen sind auf Englisch.

LLM-Beobachtbarkeit

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

Anwendungsfall

Aktivität

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117

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
    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
  2. 2

    Sonstige
    Aktiv

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

    githubgemessenes WachstumQuelle öffnen ↗

    10GitHub-Sternestabil
  3. 3

    MCP
    Ruhend

    Open-source Python framework to deploy AI agents via HTTP, A2A, and MCP with built-in observability

    githubgemessenes WachstumQuelle öffnen ↗

    5GitHub-Sternestabil
  4. 4
    Aktiv

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

    githubgemessenes WachstumQuelle öffnen ↗

    1GitHub-Sternestabil
  5. 5

    Agent
    Aktiv

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

    githubgemessenes WachstumQuelle öffnen ↗

    1GitHub-Sternestabil
  6. 6
    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
  7. 7

    Agent
    Aktiv

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

    githubgemessenes WachstumQuelle öffnen ↗

    1GitHub-Sternestabil
  8. 8

    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
  9. 9

    Agent
    Aktiv

    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.

    githubgemessenes WachstumQuelle öffnen ↗

    3GitHub-Sternestabil
  10. 10
    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
  11. 11
    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
  12. 12

    Agent
    Aktiv

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

    githubgemessenes WachstumQuelle öffnen ↗

    1GitHub-Sternestabil
  13. 13
    Aktiv

    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).

    githubgemessenes WachstumQuelle öffnen ↗

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

    13GitHub-Sternestabil
  14. 14
    Aktiv

    Self improving agents through iterations

    githubgemessenes WachstumQuelle öffnen ↗

    104GitHub-Sternestabil
  15. 15

    Skill
    Aktiv

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

    githubgemessenes WachstumQuelle öffnen ↗

    Installieren /plugin marketplace add shinpr/rashomon

    18GitHub-Sternestabil
  16. 16

    Sonstige
    Aktiv

    Terminal-first validation harness for reviewing PRDs, RFCs, strategy docs, and experiment plans.

    githubgemessenes WachstumQuelle öffnen ↗

    1GitHub-Sternestabil
  17. 17

    Agent
    Ruhend

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

    githubgemessenes WachstumQuelle öffnen ↗

    1GitHub-Sternestabil
  18. 18

    MCP
    Aktiv

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

    githubgemessenes WachstumQuelle öffnen ↗

    2GitHub-Sternestabil
  19. 19

    Sonstige
    Ruhend

    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.

    githubgemessenes WachstumQuelle öffnen ↗

    13GitHub-Sternestabil
  20. 20

    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
  21. 21

    Agent
    Aktiv

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

    githubgemessenes WachstumQuelle öffnen ↗

    7GitHub-Sternestabil
  22. 22

    Sonstige
    Aktiv

    🔑 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

    githubgemessenes WachstumQuelle öffnen ↗

    0GitHub-Sternestabil
  23. 23
    Aktiv

    Make Claude write clearly, for everyone.

    githubgemessenes WachstumQuelle öffnen ↗

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

    16GitHub-Sternestabil
  24. 24

    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
  25. 25

    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