AI Infrastructure & MLOps

Browse ai infrastructure & mlops products.

BLACKBOX AI is a software development platform with multi-agent coding, an AI-native IDE, editor and CLI tools, and a unified inference API.

BondAI is an open-source framework for building single- and multi-agent systems with tiered memory, tools, semantic search, CLI, and agent servers.

Browser Use provides an open-source agent library and managed cloud infrastructure for web automation, stealth browsers, proxies, and reusable website APIs.

Browserable is an MIT-licensed, self-hostable JavaScript browser-agent library for navigation, form completion, information extraction, and task APIs.

BrowserAct gives AI agents isolated browser identities, login reuse, CAPTCHA handling, web actions, and structured extraction for real-site workflows.

Buildel helps users create custom AI tools and automate tasks without coding.

CAMEL-AI is an open-source framework and research community for building scalable, stateful multi-agent systems, agent workforces, simulations, and data-generation pipelines.

Canvas develops post-training, evaluation, infrastructure, and observability systems that help production AI agents improve continually.

Cartesia Sonic is a low-latency streaming text-to-speech API for expressive voice agents and interactive applications in more than 40 languages.

causaLens builds governed digital knowledge workers that automate multi-step enterprise processes across data, systems, and business functions.

CodeGPT is a model-agnostic coding assistant for VS Code and JetBrains that plans changes, reads codebases, proposes edits, and uses developers' own AI API keys.

CodeRabbit reviews pull requests, IDE changes, and CLI work with codebase-aware feedback, bug detection, one-click fixes, customizable checks, and review learning.

Cognee is an open-source agent-memory platform that turns connected data into graph, vector, and relational memory that agents can recall across sessions through one API.

CollabAI provides secure, self-hosted AI for regulated industries to improve results.

Confident AI helps engineering, QA, and product teams evaluate, observe, red-team, and govern LLM applications from development through production.