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

Mixed ranking: measured growth takes priority; entries without two snapshots are estimated. 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

    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

    githubmeasured growthOpen source ↗

    0GitHub 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

    githubmeasured growthOpen source ↗

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

    Make Claude write clearly, for everyone.

    githubmeasured growthOpen source ↗

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

    16GitHub starsstable
  4. 4

    Skill
    Active

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

    githubmeasured growthOpen source ↗

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

    4GitHub starsstable
  5. 5

    Agent
    Active

    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…

    githubmeasured growthOpen source ↗

    1GitHub starsstable
  6. 6

    Agent
    Dormant

    A Multi-Agent System (MAS) evaluation framework using PydanticAI that generates and evaluates scientific paper reviews through a three-tiered assessment approach: traditional metrics, LLM-as-a-Judge, and graph-based complexity analysis.

    githubmeasured growthOpen source ↗

    2GitHub starsstable
  7. 7

    Other
    Dormant

    Multi-agent customer support system with Google ADK & Gemini 2.5 Flash Lite. Kaggle capstone demonstrating 11+ concepts. Automates 80%+ queries, <10s response time.

    githubmeasured growthOpen source ↗

    2GitHub starsstable
  8. 8
    Active

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

    githubmeasured growthOpen source ↗

    0GitHub starsstable
  9. 9
    Dormant

    Two Claude Code skills for adversarial code review (single-model PAR and multi-model MMAR with cross-critique to catch hallucinations), plus a fixture-based eval suite.

    githubmeasured growthOpen source ↗

    Install /plugin marketplace add prime-radiant-inc/parallel-adversarial-review

    17GitHub starsstable
  10. 10
    Active

    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…

    githubmeasured growthOpen source ↗

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

    45GitHub stars+6 (+15.4 %)
  11. 11
    Active

    Run many AIs on one board and keep control of all of it. Deterministic code decides who acts — never a model. A privacy floor keeps sensitive work on your machine, your own tests decide what counts as done, and every action lands on a…

    githubmeasured growthOpen source ↗

    Install git clone https://github.com/sandhusukhdeep2/sc-prism-releases ~/.claude/skills/sc-prism-releases

    1GitHub starsstable
  12. 12

    Other
    Active

    Open-source observability tool that uses AI agents to self-heal your software

    githubestimated momentumOpen source ↗

    1 404GitHub stars

Learning resources

Ranked by measured growth, normalized across sources. These resources remain available separately and do not take part in the main tool ranking.

  1. 1
    ActiveOpen source ↗

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

    githubResourcemeasured growth
    18GitHub starsstable
  2. 2
    ActiveOpen source ↗

    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.

    github

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

    Resourcemeasured growth
    33GitHub stars+2 (+6.5 %)
  3. 3
    ActiveOpen source ↗

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

    githubResourcemeasured growth
    1GitHub starsstable
  4. 4
    ActiveOpen source ↗

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

    github

    Install /plugin marketplace add Hedde/trigger_tree

    Resourcemeasured growth
    14GitHub starsstable
  5. 5

    tunelab

    Skill
    ActiveOpen source ↗

    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.

    github

    Install /plugin marketplace add rchaz/tunelab

    Resourcemeasured growth
    6GitHub starsstable