What is the best deployment infra product?

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Model

trigger.dev

45/100Free

Trigger.dev – build and deploy fully‑managed AI agents and workflows

MCP Server

sim

56/100Free

Build, deploy, and orchestrate AI agents. Sim is the central intelligence layer for your AI workforce.

Agent

R2R

55/100Free

SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.

Repository

waoowaoo

54/100Free

首家工业级全流程 AI 影视生产平台。Industry-first professional AI Agent platform for controllable film & video production. From shorts to live-action with Hollywood-standard workflows.

Agent

ruflo

51/100Free

🌊 The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features enterprise-grade architecture, distributed swarm intelligence, RAG integration, and native Claude Code / Codex Integration

MCP Server

AgentGPT

51/100Free

🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.

Agent

agents-towards-production

57/100Free

End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.

Agent

mlflow

43/100Free

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.

Prompt

promptflow

41/100Free

Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.

Model

dify

51/100Free

Production-ready platform for agentic workflow development.

MCP Server

FastGPT

52/100Free

FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, letting you easily develop and deploy complex question-answering systems without the need for extensive s

MCP Server

serve

38/100Free

☁️ Build multimodal AI applications with cloud-native stack

Workflow

12-factor-agents

53/100Free

What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?

Agent

goa

55/100Free

Design-first Go framework that generates API code, documentation, and clients. Define once in an elegant DSL, deploy as HTTP and gRPC services with zero drift between code and docs.

Repository

genkit

41/100Free

Open-source framework for building AI-powered apps in JavaScript, Go, and Python, built and used in production by Google

Model

haystack

46/100Free

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and

Model

LibreChat

51/100Free

Enhanced ChatGPT Clone: Features Agents, MCP, DeepSeek, Anthropic, AWS, OpenAI, Responses API, Azure, Groq, o1, GPT-5, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message search, Code Interpreter, langchain, DALL-E-3, OpenAPI Actions, Functions, Secure Multi-User Auth, Pre

MCP Server

opik

43/100Free

Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

Model

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