Browser-based AI development platform that runs tasks inside isolated cloud development environments: natural-language agents read code, run commands, modify files, and integrate results back into Git. Key features include per-task sandboxes, multi-model selection, and an enterprise private-deploy option.
Visual workspace for managing multiple LLM-powered coding agent sessions and iterating on code, docs, and mockups. Combines WYSIWYG editors, session kanban, task tracking, and git tooling so developers can review, approve, and integrate agent-generated changes.
Provides a desktop app and an MCP endpoint to share AI skills, plugins, and connected services across agents and teams. Includes a local-first workspace for macOS/Windows/Linux, an MCP that integrates with Codex/Claude/Cursor, and an org control plane for publishing capabilities and managing access.
Desktop + CLI agent-native client for managing multi-session conversations, connecting to multiple LLM providers and external data sources, and creating shareable agent skills and automations without editing code.
Local-first AI desktop app that combines multi-model chat and a proactive Agent workspace to embed agent workflows into daily work. Features per-workspace Skills, MCP support, Feishu/remote-robot bridges, and local JSON/JSONL storage for privacy and portability.
Desktop AI agent that automates tasks against your real working environment—local files, terminals, browser workflows, slides/docs, data analysis and scheduled jobs. It pairs a local app layer (sessions, permissions, SQLite persistence) with the OpenClaw runtime to run multi-agent workflows, built-in skills, MCP integrations, and IM remote control (WeChat, Feishu, Telegram, etc.).
Desktop app that orchestrates teams of AI agents: agents autonomously create, assign, and complete tasks while messaging and reviewing each other on a Kanban board. Includes local/no-auth models, provider runtime auto-detection, per-task logs, and hunk-level code review.
Orchestrates parallel CLI-based AI agents in isolated git worktrees so you can run multiple coding agents side-by-side, review AI-generated diffs, and link PRs/CI to each worktree. Desktop client with a mobile companion and BYO model subscriptions.
Provides a local-first desktop workspace that runs and coordinates AI agents across your files, browser, and third-party tools with a shared, editable memory. Offers built-in models or bring-your-own-keys, one-click OAuth to 100+ integrations, and browser-driven agent automation.
Bridges an LLM assistant to your locally running TradingView Desktop via Chrome DevTools Protocol for AI-assisted chart analysis, Pine Script development, and UI automation. Key features: Claude Code MCP integration, a JSON/CLI 'tv' toolset, local-only operation and streamable chart data.