AIエージェント
agentops
Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI …
★ 5.9k スターMIT
ガイドを見る →openlitは、openlitが公開しているオープンソースのAIエージェントプロジェクトです（GitHub: openlit/openlit）。GitHubスターは2,814、フォークは418で、Apache-2.0ライセンスの下で公開されています。GitHubでの最終更新は2026年10月1日です。
Open-source observability for AI agents: trace, evaluate, guard, and improve.
Add OpenLIT tracing to your agent code.
See every model call, tool use, and decision.
Score agent behavior against your standards.
Add guardrails and iterate on weak spots.
Standard observability under the hood.
Score quality, not just latency.
Catch bad behavior before users see it.
Improve everything around the model.
Scales to serious trace volumes.
Works with Claude Code, Codex, and more.
Download the source and move into the project folder.
git clone https://github.com/openlit/openlit.git
cd openlitEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project’s launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at openlit/openlit with 418 forks.
Yes. Apache-2.0 licensed.
It is OTEL-native and frames itself around harness engineering.
Yes. It is designed to run on your own stack.
Claude Code, Codex, and others; check the docs for integrations.
Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI …
The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.
Build resilient agents
Open-source LLM observability: trace, evaluate and monitor apps and agents
Observability and evaluation for AI apps — see what your agents do.
Open-source LLM observability: monitor, evaluate, and experiment.
LibreAIカタログに掲載されたAIエージェントプロジェクトの中で最もスターの多いもの — openlitが合わなかった場合に検討したい、現実的な候補リストです。
A personal AI that really does things — on any OS, with your data staying yours.
An agentic skills framework & software development methodology that works.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
The agent that grows with you — a Python framework for adaptive AI agents.
DeepSeek's plugin-based agent harness where everything is a plugin.
カタログの中でopenlitとスター数が近いAIエージェントプロジェクト — 前後の棚もそのまま見て回れます。
Real-time voice runtime that keeps AI agents talking, working, and present.
Model-agnostic marketplace of agent skills with a harness-free canonical layer.
Production-grade MCP server for Godot — let AI build scenes, edit scripts and wire your game live
Turn papers, text, or topics into editable research figures and slides.
JADX plugin + MCP server that lets LLMs analyze Android APKs live — decompile, review, find vulnerabilities
Recursive self-improving physical agent OS — verified, evidence-based execution for robots and simulators