Le descrizioni degli strumenti sono in inglese.

Osservabilità LLM

Monitoraggio, tracce, valutazione e qualità delle applicazioni LLM.

Utilizzo

Attività

Ordina per

117

Classifica degli strumenti

Classifica mista: la crescita misurata ha la precedenza. I valori grezzi mantengono la propria finestra; una variazione richiede almeno due rilevazioni in 7 giorni.

  1. 1

    Skill
    Dormiente

    A self-improving harness router for Claude Code.

    PythonLicenza: MIT
    • a-b-testing
    • ai-agent
    • ai-orchestration
    • ai-routing
    • ai-workflow

    githubcrescita misurataApri fonte ↗

    Installa /plugin marketplace add SeongwoongCho/adaptive-harness

    8stelle GitHubstabile
  2. 2

    Agente
    Attivo

    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…

    PythonLicenza: Apache-2.0
    • a2a
    • agent-framework
    • ai-agents
    • ai-governance
    • ai-safety

    githubcrescita misurataApri fonte ↗

    1stelle GitHubstabile
  3. 3

    Agente
    Attivo

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

    TypeScript
    • a2a
    • agent-governance
    • agent-memory
    • agent-orchestration
    • agent-workflows

    githubcrescita misurataApri fonte ↗

    7stelle GitHubstabile
  4. 4

    Agente
    Attivo

    Amazon Bedrock AgentCore enterprise platform accelerator with AWS CDK, Terraform organization guardrails, MCP/A2A agents, security, memory, and observability.

    PythonLicenza: Apache-2.0
    • a2a-protocol
    • agentcore
    • agentcore-agent
    • agentcore-gateway
    • agentcore-identity

    githubcrescita misurataApri fonte ↗

    5stelle GitHub+1 (+25.0 %)
  5. 5

    MCP
    Attivo

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

    PythonLicenza: MIT
    • a2a
    • agent2agent
    • agentic-ai
    • ai-agents
    • clean-architecture

    githubcrescita misurataApri fonte ↗

    1stelle GitHubstabile
  6. 6

    MCP
    Dormiente

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

    PythonLicenza: MIT
    • a2a
    • a2a-client
    • a2a-server
    • agent-evaluation
    • agentic-ai

    githubcrescita misurataApri fonte ↗

    5stelle GitHubstabile
  7. 7

    Skill
    Attivo

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

    PythonLicenza: MIT
    • agent-skills
    • anthropic
    • claude
    • claude-code
    • claude-code-marketplace

    githubcrescita misurataApri fonte ↗

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

    5stelle GitHubstabile
  8. 8

    Agente
    Dormiente

    Real-time debugging proxy for Agent2Agent (A2A) multi-agent systems

    Licenza: MIT
    • a2a
    • agent2agent
    • debugging
    • debugging-tool
    • developer-tools

    githubcrescita misurataApri fonte ↗

    3stelle GitHubstabile
  9. 9

    Skill
    Attivo

    Deletion-first Agent Skill for removing test bloat, verification theater, and speculative fallbacks while preserving behavior.

    PythonLicenza: MIT
    • agent-skills
    • claude
    • claude-ai
    • claude-code
    • claude-skills

    githubcrescita misurataApri fonte ↗

    Installa git clone https://github.com/MrZoyo/deslop-GPT ~/.claude/skills/deslop-GPT

    55stelle GitHub+27 (+96.4 %)
  10. 10

    Skill
    Attivo

    Mini Program Engineering Skill Suite is an Agent Skill suite for evidence‑first mini‑program development. It helps agents bring WeChat or other mini‑program projects from vague intent to reliable engineering work: project intake, product…

    PythonLicenza: MIT
    • agent-skills
    • ai-agents
    • alipay
    • ci-cd
    • claude-code

    githubmomentum stimatoApri fonte ↗

    Installa git clone https://github.com/NocodeMrLi/mini-program-engineering-skill-suite ~/.claude/skills/mini-program-engineering-skill-suite

    39stelle GitHub—
  11. 11

    Skill
    Attivo

    Agent skills for Arize — datasets, experiments, and traces via the ax CLI

    PythonLicenza: MIT
    • agent-skills
    • ai-agents
    • ai-observability
    • arize
    • claude-code

    githubcrescita misurataApri fonte ↗

    Installa git clone https://github.com/Arize-ai/arize-skills ~/.claude/skills/arize-skills

    47stelle GitHubstabile
  12. 12

    MCP
    Attivo

    Optimize any AI agent’s skills, tools/MCP, and prompts against your own evals.

    PythonLicenza: Apache-2.0
    • agent-optimization
    • agent-skills
    • agentic-ai
    • ai-agents
    • claude

    githubcrescita misurataApri fonte ↗

    47stelle GitHub+1 (+2.2 %)

Risorse didattiche e di riferimento

Classifica per crescita misurata e normalizzata tra le fonti. Queste risorse restano accessibili separatamente e non partecipano alla classifica principale.

  1. 1

    production-ai-engineering

    Agente
    AttivoApri fonte ↗

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

    Markdown
    • a2a-protocol
    • agentic-ai
    • ai
    • ai-agents
    • ai-engineering
    githubRisorsacrescita misurata
    1stelle GitHubstabile
  2. 2

    awesome-llm-observability

    Skill
    AttivoApri fonte ↗

    50+ curated LLM observability tools PLUS 26 Agent Skills (several with runnable, unit-tested scripts) to build, evaluate, debug, secure & monitor reliable LLM apps. Tracing, evals, guardrails, LLMOps.

    Python
    • ai-agents
    • ai-engineering
    • ai-observability
    • awesome
    • awesome-list
    github

    Installa git clone https://github.com/ContextJet-ai/awesome-llm-observability ~/.claude/skills/awesome-llm-observability

    Risorsacrescita misurata
    32stelle GitHub+2 (+6.7 %)
  3. 3

    Agentic_AI_Engineer

    Agente
    AttivoApri fonte ↗

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

    Jupyter NotebookLicenza: MIT
    • a2a-protocol
    • agent-orchestration
    • ai-guardrails
    • fastapi
    • kubernetes
    githubRisorsacrescita misurata
    18stelle GitHubstabile
  4. 4

    trigger_tree

    Skill
    AttivoApri fonte ↗

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

    PythonLicenza: MIT
    • ai-agents
    • claude-code
    • claude-code-plugin
    • docs-as-code
    • documentation
    github

    Installa /plugin marketplace add Hedde/trigger_tree

    Risorsacrescita misurata
    14stelle GitHub+1 (+7.7 %)
  5. 5

    tunelab

    Skill
    AttivoApri fonte ↗

    Claude Code plugin for LLM fine-tuning, distillation, and evaluation — decide whether you need fine-tuning at all, distill your LLM logs into small local models (MLX/LoRA), evaluate with held-out discipline, and learn the why at every step.

    PythonLicenza: MIT
    • claude-code
    • claude-code-plugin
    • distillation
    • fine-tuning
    • llm-evaluation
    github

    Installa /plugin marketplace add rchaz/tunelab

    Risorsacrescita misurata
    6stelle GitHubstabile