工具说明为英文。
LLM 可观测性
LLM 应用的监控、追踪、评估和质量管理。
用途
活跃度
排序方式
122
工具排名
按实测增长排序,并在不同来源间归一化。 原始值保留各自的数据窗口;计算变化需要 7 天内至少两次测量。
- 1活跃
Audit which Claude Code skills you actually use — surface dead installs and hallucinated invocations from your session logs.
github实测增长打开来源 ↗
安装
/plugin marketplace add sfrangulov/skill-graveyard10GitHub 星标稳定 - 2休眠
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.
github实测增长打开来源 ↗
0GitHub 星标稳定 - 3活跃
Production-grade AI coding rules for Cursor and Claude Code. 15 rules + 9 doc templates + skills + agents + MCP setup. Drop into any project.
github实测增长打开来源 ↗
安装
git clone https://github.com/aiagentwithdhruv/ai-dev-stack ~/.claude/skills/ai-dev-stack10GitHub 星标稳定 - 41GitHub 星标稳定
- 5活跃
galdor
其他A Go-native framework for LLM agents, with OpenTelemetry observability built in.
github实测增长打开来源 ↗
10GitHub 星标稳定 - 6休眠
kiboserve
MCPOpen-source Python framework to deploy AI agents via HTTP, A2A, and MCP with built-in observability
github实测增长打开来源 ↗
5GitHub 星标稳定 - 7活跃
Deterministic crash tests for agent control planes: paired worlds, hard stops, budgets, scopes, approvals, and hash-linked receipts.
github实测增长打开来源 ↗
1GitHub 星标稳定 - 8活跃
dsh-plugins
智能体Generic DeepSeek Harness (dsh) plugins: A2A protocol server, session storage mirror, and Langfuse observability.
github实测增长打开来源 ↗
1GitHub 星标稳定 - 9活跃
Multi-agent quality gate skill for Claude Code that researches, reviews, tests and challenges AI-generated work before the final answer.
github实测增长打开来源 ↗
安装
git clone https://github.com/ma-nucho-pro/supervisor-skill-claude ~/.claude/skills/supervisor-skill-claude2GitHub 星标稳定 - 10活跃
historian
智能体A local A2A event and continuity service for agent applications, with structured history, provenance-safe transcripts, literal search, and natural-language queries.
github实测增长打开来源 ↗
1GitHub 星标稳定 - 11活跃
Local-first Agentic AI Infrastructure Platform with LLM Gateway, Agent DAG Runtime, MCP Tool Hub, A2A Agent Mesh, Local RAG, Tool Sandbox and Observability.
github实测增长打开来源 ↗
1GitHub 星标稳定 - 12活跃
sre-on-call
智能体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.
github实测增长打开来源 ↗
3GitHub 星标稳定 - 13活跃
Query Spanlens LLM observability from Cursor, Claude Desktop, or Continue via MCP.
mcp实测增长打开来源 ↗
安装
claude mcp add mcp-server -- npx @spanlens/mcp-server12GitHub 星标稳定 - 14活跃
AI Guardian
MCPGoverned local-LLM observability: model policy, prompt scanner, capture proxy, 21 tools.
mcp实测增长打开来源 ↗
安装
claude mcp add ai-guardian -- uvx ai-guardian-aiops0GitHub 星标稳定 - 15活跃
pyxen
智能体A lightweight Python library that decouples agentic runtime from applications it builds
github实测增长打开来源 ↗
1GitHub 星标稳定 - 16活跃
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).
github实测增长打开来源 ↗
安装
/plugin marketplace add GiustoPiedimonte/agentic-engineering-marketplace13GitHub 星标稳定 - 17104GitHub 星标稳定
- 18活跃
rashomon
技能Measure prompt and skill improvements with blind A/B comparison.
github实测增长打开来源 ↗
安装
/plugin marketplace add shinpr/rashomon18GitHub 星标稳定 - 19活跃
Terminal-first validation harness for reviewing PRDs, RFCs, strategy docs, and experiment plans.
github实测增长打开来源 ↗
1GitHub 星标稳定 - 20休眠
primal-core
智能体The reliability and interoperability layer for AI agents. A2A-native. MCP-bridged.
github实测增长打开来源 ↗
1GitHub 星标稳定 - 21活跃
nudge
MCPA typed, replayable, budget-aware programming language for LLM agents. Compiles to Python & TypeScript.
github实测增长打开来源 ↗
2GitHub 星标稳定 - 22休眠
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.
github实测增长打开来源 ↗
13GitHub 星标稳定 - 23活跃
evoagent-os
智能体Local-first control plane for durable, governed agent teams: DAG orchestration, approvals, memory, signed skills, trace contracts, and realtime.
github实测增长打开来源 ↗
0GitHub 星标稳定 - 24活跃
memroos
智能体MemroOS / memroos: memory OS and governance layer for AI agents, agent workflows, dispatch, proof, and context continuity.
github实测增长打开来源 ↗
7GitHub 星标稳定 - 25活跃
🔑 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
github实测增长打开来源 ↗
0GitHub 星标稳定