BentoML
bentoml
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
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49–64 / 100
Candidates in this shortlist, not the full registry. GitHub stars belong to repositories, not individual skills.
Results: 100
bentoml
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
mikel-brostrom
BoxMOT: Pluggable python and c++ SOTA multi-object tracking modules with support for axis-aligned and oriented bounding boxes
nonebot
跨平台 Python 异步聊天机器人框架 / Asynchronous multi-platform chatbot framework written in Python
nanobrowser
Open-Source Chrome extension for AI-powered web automation. Run multi-agent workflows using your own LLM API key. Alternative to OpenAI Operator.
enricoros
AI suite powered by state-of-the-art models and providing advanced AI/AGI functions. Includes AI personas, AGI functions, world-class Beam multi-model chats, text-to-ima…
kyegomez
The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework. Website: https://swarms.ai
cortexproject
A horizontally scalable, highly available, multi-tenant, long term Prometheus.
Superalgos
Free, open-source crypto trading bot, automated bitcoin / cryptocurrency trading software, algorithmic trading bots. Visually design your crypto trading bot, leveraging…
kserve
Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes
microsoft
A multi-module course teaching everything you need to know about using GitHub Copilot as an AI Peer Programming resource.
grafana
Grafana Mimir provides horizontally scalable, highly available, multi-tenant, long-term storage for Prometheus.
darrenhinde
AI agent framework for plan-first development workflows with approval-based execution. Multi-language support (TypeScript, Python, Go, Rust) with automatic testing, code…
infiniflow
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.
CortexReach
Enhanced LanceDB memory plugin for OpenClaw — Hybrid Retrieval (Vector + BM25), Cross-Encoder Rerank, Multi-Scope Isolation, Management CLI