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A tool for controlling AI coding agents remotely from mobile devices and web browsers. Users install a lightweight daemon alongside their coding agent and can then monitor, message, and manage multiple AI agents across different machines and projects from anywhere, receiving push notifications when the agent needs input or completes tasks.

A desktop application for macOS that isolates multiple client accounts and credentials within separate workspaces, enabling developers to work on projects for different companies from a single machine without mixing credentials or accidentally using the wrong identity.

An open-source, model-agnostic AI coding agent that routes tasks to the cheapest capable model across 17+ providers, with automatic failover, cross-provider load balancing, and integration of existing paid subscriptions. Includes code intelligence with symbol-graph analysis, workspace persistence, voice input, and desktop and mobile interfaces.

An agent development environment that runs multiple CLI agents side by side in isolated git worktrees, with integrated terminal, file editor, design mode, GitHub/Linear integration, and mobile companion support.

A next-generation code editor built in Rust with native speed, multiplayer collaboration, and integrated AI capabilities. Zed supports agent-based editing through its open Agent Client Protocol, allowing developers to connect agents like Claude Agent and Codex, run local models via Ollama, or use their own API keys. The Pro tier includes hosted models with token-based billing, while Business tier adds organization-level controls for teams.

A multiplayer agentic development environment where teams collaborate on AI-powered coding tasks in shared live sessions. Engineers, product managers, and designers work together in isolated workspaces with integrated terminals, a code editor, live app previews, and pull request workflows. Code runs on user infrastructure or a dedicated AQ-managed machine.

An open-source terminal application that enables pair programming with language models on new or existing codebases. It maps your codebase, supports 100+ programming languages, integrates with Git for automatic commits, and works with cloud and local LLMs including Claude, OpenAI, and DeepSeek models.

Amp is a frontier agent and development environment that lets developers run agents remotely in isolated orbs while maintaining control from any device. Agents continue executing after the developer closes their laptop, can be triggered by external events like GitHub issues or CI failures, and enable team collaboration through shared orb access and live code preview.

Bolt is an AI-powered website and application builder that enables users to create custom apps and websites through conversational AI without requiring code or developers. The platform automatically optimizes model selection for each task, handles large projects with efficient context management, and provides enterprise-grade backend infrastructure including hosting, databases, and authentication.

A free native desktop IDE for agentic app development that combines source editing, terminal workflows, and local previews in a single environment. The tool enables developers to build and test applications locally, inspect generated code, run containerized previews, and package projects for cloud deployment through an integrated control plane.

Claude is a family of AI models and products by Anthropic that includes web chat, code assistance, desktop and mobile applications, and integrations with popular development tools. Claude Code provides terminal and IDE integration for building, debugging, and shipping code. The platform supports multiple subscription tiers ranging from free to enterprise, with capabilities including code generation, document creation, web search, file execution, and collaboration features.

An open-source AI coding agent that operates within VS Code, the terminal, or as an embeddable SDK. It performs coordinated multi-file code changes, runs bash commands, and integrates with various language models and services. Users can bring their own API keys, endpoints, or local models, and extend functionality via MCP servers and plugins.