agentops
Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI …
openlit est un projet de agents IA open source, créé par openlit (openlit/openlit sur GitHub). Il compte 2 814 étoiles sur GitHub et 418 forks, il est publié sous la licence Apache-2.0 et a été mis à jour pour la dernière fois sur GitHub le 1er octobre 2026.
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.
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Projets de la catégorie Agents IA proches dans le catalogue, les plus proches en étoiles de openlit — continuez à explorer de part et d'autre.
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Recursive self-improving physical agent OS — verified, evidence-based execution for robots and simulators
Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.