Compare tools
Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
⇄ Comparison dimension — pick the market you're actually shopping in
Credit-based AI coding agent that builds full applications from plain-language instructions, including backend, billing, and admin features.
General-purpose autonomous AI agent that plans and runs multi-step tasks such as building sites, slides and research in the cloud.
AI harness that gives engineering teams codebase-aware agents for debugging, testing and implementation planning.
Desktop workspace letting multiple AI coding agents (Claude Code, Codex, Cursor) collaborate on shared context and specs.
Free trial available
No public pricing
No public pricing
No public pricing
- ✦Builds complete apps (auth, storage, payments, admin) from natural-language prompts
- ✦Runs on top of multiple frontier coding models
- ✦Retains full project context across sessions for incremental feature additions
- ✦Remote task submission via Slack/Telegram messaging
- ✦'Eco Mode' for lower-cost usage without consuming credits
- ✦VS Code and JetBrains IDE integrations plus a desktop app
- ✦Autonomous multi-step task execution
- ✦Website and app building
- ✦AI slides, design and image generation
- ✦Manus browser operator
- ✦Wide Research mode
- ✦Cross-platform web, desktop and mobile apps
- ✦Custom AI harness over a company's codebase
- ✦Codebase Q&A agent
- ✦Automated debugging assistance
- ✦Automated test generation
- ✦Implementation planning support
- ✦Root cause analysis automation
- ✦Runs multiple coding agents (Claude Code, Codex, OpenCode, Cursor) in one workspace
- ✦Bring-your-own-subscription model for existing agent accounts
- ✦Agent-to-agent communication for questions, reviews and handoffs
- ✦Shared filesystem, decision history and specs per task
- ✦Mid-chat model switching without losing context
- ✦macOS desktop app
- →Solo founders building a launchable product without a dev team
- →Developers offloading multi-step feature builds to an autonomous agent
- →Teams wanting a shared coding agent with pooled usage billing
- →Automate end-to-end digital tasks
- →Produce websites and presentations
- →Conduct broad research
- →Hand off browser tasks to an agent
- →Engineering teams wanting AI agents grounded in their own codebase
- →Teams automating repetitive debugging or root-cause investigation
- →Organizations standardizing an AI layer across the software delivery workflow
- →Developers coordinating multiple AI coding agents on the same project
- →Teams collaborating around shared agent context and specs
- →Switching between different LLMs mid-task without losing history
- →Reviewing and handing off in-progress coding work between agents