ツールの説明は英語です。
LLM可観測性
LLMアプリの監視、トレース、評価、品質管理。
用途
アクティビティ
並び順
123
ツールランキング
情報源間で正規化した測定済み成長順です。 各値は情報源固有の期間を使用し、変化の算出には7日間で2回以上の測定が必要です。
- 1活動中
SkillCorpus
スキルOpen-source infrastructure that turns scattered SKILL.md files into curated, retrieval-ready agent-skill corpora—with retrieval and evaluation tooling included.
github測定済み成長情報源を開く ↗
インストール
git clone https://github.com/EverMind-AI/SkillCorpus ~/.claude/skills/SkillCorpus360GitHubスター+168 (+87.5 %) - 2活動中
Multi-tier framework for evaluating AI agent skills with quality gates, semantic overlap detection, synthetic evaluation dataset generation, and live agent evaluation that measures how skills affect agent behavior.
github測定済み成長情報源を開く ↗
インストール
git clone https://github.com/NVIDIA/SkillEvaluator ~/.claude/skills/SkillEvaluator363GitHubスター+58 (+19.0 %) - 3活動中
craft-skills
スキルResearch-backed, eval-driven skills for AI agents
github測定済み成長情報源を開く ↗
インストール
git clone https://github.com/ZSeven-W/craft-skills ~/.claude/skills/craft-skills138GitHubスター+21 (+17.9 %) - 4活動中
deslop-GPT
スキルDeletion-first Agent Skill for removing test bloat, verification theater, and speculative fallbacks while preserving behavior.
github測定済み成長情報源を開く ↗
インストール
git clone https://github.com/MrZoyo/deslop-GPT ~/.claude/skills/deslop-GPT38GitHubスター+10 (+35.7 %) - 5活動中
promptfoo
その他Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, DeepSeek, and more. Simple declarative configs with command line and CI/CD integration. Used by OpenAI…
github測定済み成長情報源を開く ↗
24 710GitHubスター+137 (+0.56 %) - 6活動中
mastra
その他Mastra is the modern TypeScript framework for AI-powered applications and agents.
github測定済み成長情報源を開く ↗
27 601GitHubスター+128 (+0.47 %) - 7活動中
openobserve
その他Open source observability platform for logs, metrics, traces, frontend monitoring, pipelines and LLM observability. A sophisticated, simple and highly performant alternative to Datadog, Splunk, and Elasticsearch with 140x lower storage…
github測定済み成長情報源を開く ↗
21 594GitHubスター+119 (+0.55 %) - 8活動中
YAO = Yielding AI Outcomes. A rigorous engineering, evaluation, governance, and portability system for reusable agent skills.
github測定済み成長情報源を開く ↗
インストール
git clone https://github.com/yaojingang/yao-meta-skill ~/.claude/skills/yao-meta-skill2 565GitHubスター+58 (+2.3 %) - 9活動中
nudge
MCPA typed, replayable, budget-aware programming language for LLM agents. Compiles to Python & TypeScript.
github測定済み成長情報源を開く ↗
2GitHubスター+1 (+100.0 %) - 10活動中
agent-stack
スキルProduction patterns for agent orchestrators, harnesses, evals, MCP/A2A interoperability, memory, provider routing, and LLM usage metering.
github測定済み成長情報源を開く ↗
インストール
git clone https://github.com/ssheleg/agent-stack ~/.claude/skills/agent-stack2GitHubスター+1 (+100.0 %) - 11活動中
historian
エージェントA local A2A event and continuity service for agent applications, with structured history, provenance-safe transcripts, literal search, and natural-language queries.
github測定済み成長情報源を開く ↗
1GitHubスター+1 - 12活動中
agent-kernel
エージェントThe Operating System for Scalable Enterprise AI Agents - Run, orchestrate, and deploy Compliant Enterprise AI Agents at scale across frameworks, without lock-in, rewrites or fragile glue code. Native support for MCP, A2A. Interface with all…
github測定済み成長情報源を開く ↗
146GitHubスター+13 (+9.8 %) - 13活動中
mlflow
エージェントThe open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models…
github測定済み成長情報源を開く ↗
27 759GitHubスター+78 (+0.28 %) - 14活動中
databuff
エージェントDataBuff is an AI-native APM built on Opentelemetry,with multi-agent troubleshooting out of the box.
github測定済み成長情報源を開く ↗
627GitHubスター+22 (+3.6 %) - 15活動中
netdata
その他The fastest path to AI-powered full stack observability, even for lean teams.
github測定済み成長情報源を開く ↗
80 382GitHubスター+80 (+0.10 %) - 16活動中
prefect
ライブラリPrefect is a workflow orchestration framework for building resilient data pipelines in Python.
github測定済み成長情報源を開く ↗
23 741GitHubスター+55 (+0.23 %) - 179 079GitHubスター+46 (+0.51 %)
- 18活動中
Build tested agent skills and govern their lifecycle through a user-defined marketplace: evidence, discovery, updates, rollback, quarantine, and 17-platform distribution.
github測定済み成長情報源を開く ↗
インストール
git clone https://github.com/FrancyJGLisboa/agent-skill-creator ~/.claude/skills/agent-skill-creator2 358GitHubスター+29 (+1.2 %) - 19活動中
signoz
その他SigNoz is an open-source, OpenTelemetry-native observability platform for your team and their AI agents. Get logs, metrics, and traces in one tool with features like APM, distributed tracing, log management, infra monitoring, etc. Combined…
github測定済み成長情報源を開く ↗
31 983GitHubスター+48 (+0.15 %) - 2022 497GitHubスター+41 (+0.18 %)
- 21活動中
A Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, evaluation, and observability.
github測定済み成長情報源を開く ↗
1 752GitHubスター+22 (+1.3 %) - 22活動中
fable-method
スキルThe Fable Workflow: how Claude Fable 5 worked, distilled into skills any model can run, with the eval that keeps it honest. Think / act / prove.
github測定済み成長情報源を開く ↗
インストール
git clone https://github.com/Sahir619/fable-method ~/.claude/skills/fable-method2 269GitHubスター+22 (+0.98 %) - 23活動中
Amazon Bedrock AgentCore enterprise platform accelerator with AWS CDK, Terraform organization guardrails, MCP/A2A agents, security, memory, and observability.
github測定済み成長情報源を開く ↗
5GitHubスター+1 (+25.0 %) - 24休止中
kiboserve
MCPOpen-source Python framework to deploy AI agents via HTTP, A2A, and MCP with built-in observability
github測定済み成長情報源を開く ↗
5GitHubスター+1 (+25.0 %) - 259 045GitHubスター+28 (+0.31 %)