#1
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
8.7K starsJun 3, 2026 pushdevelopmentPythonLLMOps
$ npx skills add bentoml/BentoMLAlternatives
Serve alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Serve
โ๏ธ Build multimodal AI applications with cloud-native stack
85
Quality
86
Trust
22K
Stars
#2
๐ค ๐๐ฒ๐ฎ๐ฟ๐ป for ๐ณ๐ฟ๐ฒ๐ฒ how to ๐ฏ๐๐ถ๐น๐ฑ an end-to-end ๐ฝ๐ฟ๐ผ๐ฑ๐๐ฐ๐๐ถ๐ผ๐ป-๐ฟ๐ฒ๐ฎ๐ฑ๐ ๐๐๐ & ๐ฅ๐๐ ๐๐๐๐๐ฒ๐บ using ๐๐๐ ๐ข๐ฝ๐ best practices: ~ ๐ด๐ฐ๐ถ๐ณ๐ค๐ฆ ๐ค๐ฐ๐ฅ๐ฆ + 12 ๐ฉ๐ข๐ฏ๐ฅ๐ด-๐ฐ๐ฏ ๐ญ๐ฆ๐ด๐ด๐ฐ๐ฏ๐ด
4.3K starsApr 20, 2026 pushdevelopmentPythonLLMOps
$ npx skills add decodingai-magazine/llm-twin-course#3
Open-source observability for your GenAI or LLM application, based on OpenTelemetry
7.2K starsJun 12, 2026 pushdevelopmentPythonLLMOps
$ npx skills add traceloop/openllmetry#4
Ship AI Agents to Google Cloud in minutes, not months. Production-ready templates with built-in CI/CD, evaluation, and observability.
6.5K starsJun 12, 2026 pushdevelopmentPythonLLMOps
$ npx skills add GoogleCloudPlatform/agent-starter-pack#5
ZenML ๐: One AI Platform from Pipelines to Agents. https://zenml.io.
5.4K starsJun 14, 2026 pushdevelopmentPythonLLMOps
$ npx skills add zenml-io/zenml#6
Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.
2.4K starsJun 13, 2026 pushdevelopmentPythonLLMOps
$ npx skills add apache/burr#7
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
27K starsJun 14, 2026 pushdevelopmentPythonLLMOps
$ npx skills add mlflow/mlflow#8
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
20K starsJun 13, 2026 pushdevelopmentPythonLLMOps
$ npx skills add comet-ml/opik#9
โ๏ธ๐ฆ Build modular and scalable LLM Applications in Rust
7.6K starsJun 12, 2026 pushdevelopmentRustLLMOps
$ npx skills add 0xPlaygrounds/rig#10
Evidently is โโan open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
7.6K starsMay 2, 2026 pushdevelopmentJupyter NotebookLLMOps
$ npx skills add evidentlyai/evidently#11
Plano is an AI-native proxy and data plane for agentic apps โ with built-in orchestration, safety, observability, and smart LLM routing so you stay focused on your agents core logic.
6.6K starsJun 12, 2026 pushdevelopmentRustLLMOps
$ npx skills add katanemo/plano#12
Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced analytics with timeline and execution graph view
16K starsFeb 11, 2026 pushdevelopmentPythonLLMOps
$ npx skills add raga-ai-hub/RagaAI-Catalyst#13
Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.
12K starsJun 8, 2026 pushdevelopmentPythonLLMOps
$ npx skills add bentoml/OpenLLM#14
Build, Manage and Deploy AI/ML Systems
10K starsJun 13, 2026 pushdevelopmentPythonLLMOps
$ npx skills add Netflix/metaflow#15
AI Observability & Evaluation
10K starsJun 14, 2026 pushdevelopmentPythonLLMOps
$ npx skills add Arize-ai/phoenix#16
๐๏ธ Reproducible development environment for humans and agents
2.2K starsMay 21, 2026 pushdevelopmentGoLLMOps
$ npx skills add tensorchord/envdHow to choose
When should you switch?
Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep Serve if it already passes your workflow test and repository review.
Next step
Compare top candidates side by side
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.