AI-assisted development tools for faster and smarter coding. — 55 tools
A memory layer API for AI applications that lets chatbots and agents remember user preferences and context across sessions, rather than starting fresh each conversation.
An open-source AI browser automation platform that uses computer vision and LLMs to navigate websites and complete workflows without brittle, hand-written scripts.
A lightweight, high-performance Python framework for building multi-agent AI systems, focused on speed and simplicity compared to heavier agent orchestration frameworks.
A neural search engine and API designed for AI applications, using embeddings-based search to find semantically relevant web content rather than simple keyword matching.
A TypeScript framework for building AI agents and workflows, offering a code-first alternative to visual builders for developers who want full control in their existing stack.
A cloud sandbox infrastructure platform that gives AI agents secure, isolated environments to execute code, letting developers safely run AI-generated code without risking their own systems.
Block's open-source, on-machine AI coding agent that runs autonomously in your terminal, capable of writing code, running commands, and completing engineering tasks locally.
An open-source background jobs and workflow platform for developers, built to reliably run long-running tasks, AI agent workflows, and scheduled jobs in production.
A durable execution platform for developers, providing reliable event-driven workflows and background functions that automatically handle retries, concurrency, and scheduling.
A cloud platform for running open-source AI models at scale, offering fast inference, fine-tuning, and training infrastructure for developers building on open models.
An AI infrastructure company built around wafer-scale computing chips, offering extremely fast inference and training for large language models at scale.
An enterprise AI platform offering custom silicon-based infrastructure for running and fine-tuning large language models, targeted at large organizations with demanding AI workloads.