LLM observability: tools for developers

Monitoring, traces, evaluation and quality tracking for LLM applications. An entry can appear under several use cases when its topics or description provide several explicit signals.

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117 entries in this view.

Tool ranking

Ranked by measured growth, normalized across sources. Raw values keep their source-specific window, shown under each tool; a change requires at least two snapshots from the last 7 days.

  1. 1

    MCP
    Active

    Production reliability, benchmarking, and evaluation layer for MCP agent runtimes — protocol negotiation, A2A interop, circuit breakers, connection pooling, adaptive streaming, and autoscaling, with measured throughput/latency and a…

    PythonLicense: Apache-2.0
    • a2a-protocol
    • agent-to-agent
    • ai-agents
    • async-python
    • autoscaling

    githubmeasured growthOpen source ↗

    3GitHub starsstable
  2. 2

    Other
    Active

    A command-line tool to scaffold and manage enterprise-ready AI Agents powered by the A2A (Agent-to-Agent) protocol

    GoLicense: Apache-2.0
    • a2a
    • agents
    • ai
    • containerized
    • docker

    githubmeasured growthOpen source ↗

    14GitHub stars+1 (+7.7 %)
  3. 3

    Agent
    Dormant

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

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

    githubmeasured growthOpen source ↗

    3GitHub starsstable
  4. 4

    Skill
    Active

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

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

    githubmeasured growthOpen source ↗

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

    5GitHub starsstable
  5. 5

    Skill
    Active

    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).

    PythonLicense: MIT
    • adr
    • agentic-engineering
    • ai-agents
    • anthropic
    • claude-code

    githubmeasured growthOpen source ↗

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

    13GitHub starsstable
  6. 6

    MCP
    Dormant

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

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

    githubmeasured growthOpen source ↗

    5GitHub starsstable
  7. 7

    Other
    Dormant

    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.

    HTML
    • agent-evaluation
    • anthropic
    • claude-code
    • claude-code-skill
    • evals

    githubmeasured growthOpen source ↗

    13GitHub starsstable
  8. 8

    Agent
    Active

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

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

    githubmeasured growthOpen source ↗

    6GitHub stars+2 (+50.0 %)
  9. 9

    MCP
    Active

    Query Spanlens LLM observability from Cursor, Claude Desktop, or Continue via MCP.

    ↓ 32 downloads/weekTypeScriptLicense: MIT

      mcpmeasured growthOpen source ↗

      Install claude mcp add mcp-server -- npx @spanlens/mcp-server

      12GitHub starsstable
    • 10

      Agent
      Active

      Provide clear documentation for AgentStack’s MCP protocol, plugins, and ecosystem API with usage examples and tool references.

      • a2a
      • anthropic
      • claude-code
      • crewai
      • deep-learning

      githubmeasured growthOpen source ↗

      0GitHub starsstable
    • 11

      Agent
      Active

      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

      githubmeasured growthOpen source ↗

      7GitHub starsstable
    • 12

      Skill
      Active

      Production-grade AI coding rules for Cursor and Claude Code. 15 rules + 9 doc templates + skills + agents + MCP setup. Drop into any project.

      PythonLicense: MIT
      • ai-agents
      • ai-coding
      • ai-development
      • ai-engineer
      • automation

      githubmeasured growthOpen source ↗

      Install git clone https://github.com/aiagentwithdhruv/ai-dev-stack ~/.claude/skills/ai-dev-stack

      10GitHub stars+1 (+11.1 %)
    • 13

      Skill
      Dormant

      A self-improving harness router for Claude Code.

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

      githubmeasured growthOpen source ↗

      Install /plugin marketplace add SeongwoongCho/adaptive-harness

      8GitHub starsstable
    • 14

      Skill
      Active

      Audit which Claude Code skills you actually use — surface dead installs and hallucinated invocations from your session logs.

      TypeScriptLicense: MIT
      • anthropic
      • audit
      • claude
      • claude-code
      • claude-code-plugin

      githubmeasured growthOpen source ↗

      Install /plugin marketplace add sfrangulov/skill-graveyard

      10GitHub stars+1 (+11.1 %)
    • 15

      Skill
      Active

      Anchor — the production-grade AGENTS.md template for AI coding agents. 51 sections of battle-tested rules. Keep your agents grounded.

      License: MIT
      • agent-instructions
      • agents-md
      • ai-agent-instructions
      • ai-coding
      • ai-coding-agent

      githubmeasured growthOpen source ↗

      Install git clone https://github.com/peva3/anchor ~/.claude/skills/anchor

      8GitHub starsstable
    • 16

      Skill
      Active

      Turn one decision into a judged tournament of solutions, then pick the best — a Claude Code skill that generates candidates, auto-derives the rubric, judges independently, and returns a defensible winner.

      JavaScriptLicense: MIT
      • ai-agents
      • anthropic
      • claude-code
      • claude-code-plugin
      • claude-skill

      githubmeasured growthOpen source ↗

      Install /plugin marketplace add CoriChui/bakeoff

      10GitHub starsstable
    • 17

      Other
      Active

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

      GoLicense: Apache-2.0
      • a2a
      • agents
      • ai
      • anthropic
      • bedrock

      githubmeasured growthOpen source ↗

      10GitHub starsstable
    • 18

      MCP
      Active

      Architecture-first Python scaffold for an auditable multi-agent corporate credit desk using A2A, MCP, deterministic credit policies, model routing, and OpenTelemetry.

      Python
      • a2a-protocol
      • agentic-ai
      • auditability
      • clean-architecture
      • credit-risk

      githubmeasured growthOpen source ↗

      0GitHub starsstable
    • 19

      Agent
      Dormant

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

      PythonLicense: MIT
      • a2a
      • agents
      • contracts
      • evaluation
      • llm

      githubmeasured growthOpen source ↗

      0GitHub starsstable
    • 20

      Skill
      Active

      Marketing Mix Model expert agent plugin for Claude Code - pymc-marketing v0.18.2+

      Python
      • claude-code-agent
      • claude-code-plugin
      • claude-code-skill
      • data-analysis
      • data-analytics

      githubmeasured growthOpen source ↗

      Install /plugin marketplace add Yakoub-ai/agent-mmm

      4GitHub starsstable
    • 21

      Agent
      Dormant

      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.

      Python
      • a2a
      • agent-to-agent
      • ai-agents
      • conversational-ai
      • llm-evaluation

      githubmeasured growthOpen source ↗

      0GitHub starsstable
    • 22

      Agent
      Active

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

      Python
      • a2a-protocol
      • agentbeats
      • appworld
      • evaluation
      • llm-agents

      githubmeasured growthOpen source ↗

      0GitHub starsstable
    • 23

      Agent
      Dormant

      AgentOps: Multi-agent infrastructure remediation platform. A2A protocol, agent coordination, HITL approval, auto-rollback.

      PythonLicense: MIT
      • a2a-protocol
      • ai
      • automation
      • infrastructure
      • llm

      githubmeasured growthOpen source ↗

      0GitHub starsstable
    • 24

      Other
      Active

      🔑 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

      PythonLicense: MIT
      • a2a-protocol
      • agent-framework
      • ai
      • causal-memory
      • event-stream

      githubmeasured growthOpen source ↗

      0GitHub starsstable
    • 25

      MCP
      Active

      Governed local-LLM observability: model policy, prompt scanner, capture proxy, 21 tools.

      PythonLicense: MIT

        mcpmeasured growthOpen source ↗

        Install claude mcp add ai-guardian -- uvx ai-guardian-aiops

        0GitHub starsstable