AI Infrastructure & MLOps
Browse ai infrastructure & mlops products.
MetaGPT is an open-source Python framework for defining AI roles, actions, environments, communication, memory, and multi-agent workflows, including software-team simulations.
Millis AI is a low-latency voice-agent platform with no-code and developer tools, telephony, web and native integrations, webhooks, custom models, and usage-based pricing.
MindPal lets business users build AI agents that automate tasks without code.
Mirascope is a Python toolkit for building, observing, versioning, and iterating on LLM applications and tool-using agent loops.
Mission Squad uses AI agents with your data and any AI model to automate complex tasks.
ModelBench helps users test and compare AI models without writing code.
Momentic uses AI to author, run, repair, and diagnose plain-English end-to-end tests across web, iOS, and Android products.
Natural TTS Labs converts text into speech with a free web tool and REST API offering more than 200 voices across 25+ languages.
Nexa AI is now part of Qualcomm AI Hub, with its current page directing users to Qualcomm AI Hub and existing Nexa documentation.
Nexus is enterprise AI infrastructure that turns models, business systems, and permissions into reusable building blocks for team-owned autonomous agents.
NOFire builds a live, time-versioned production graph for incident analysis, change prevention, AI-agent policy enforcement, service ownership, and recurring operations.
Octofy provides one workspace for more than 60 AI models, with automatic model routing, image generation, reusable prompts, exports, and optional bring-your-own-key access.
Ollama runs open models locally or through its cloud service, giving developers and teams a practical foundation for private AI applications and agents.
OpenAGI is a developer framework for composing autonomous agents from planners, workers, language models, actions, memory, and vector stores.
OpenHands is a model-agnostic coding-agent platform for implementing features, fixing bugs, maintaining repositories, and automating engineering work locally, in the cloud, or in a private deployment.

