stagewise
An agentic IDE that combines web inspection, debugging, coding agents, previews, and Git workflows.
- Source repo
- stagewise-io/stagewise
- Stars
- ★ 6.8k
- Last updated
- 2d ago
- License
- AGPL-3.0
- Primary language
- TypeScript
- FA score
- 25/100 · Major gaps
At a glance
- How it runs
- Works with
- Universal · cross-platform
- Cost
- Free tier plus a paid hosted plan
- Setup effort
- Low · running in minutes
- You'll need
- Typical use
- A frontend developer debugging a live page who wants a coding agent to work from the active tab’s console and debugger.
- Not a fit if
- Teams needing a fully offline or self-hosted deployment; only a download is offered
- Developers unwilling to create a stagewise Account or pay a subscription
- Closed-source commercial projects with AGPLv3 licensing concerns
- Source review
- 25/100 · Major gaps 8 safety controls not found
What does this agent do, and when should you use it?
stagewise is an open-source agentic IDE for developers with a built-in coding agent. It combines browsing and building in one tool, and the agent is described as having access to the active tab’s console and debugger. Users can make temporary test changes or connect a codebase for permanent edits, then view and apply changes in a preferred editor. The repository description also identifies coding-agent creation and orchestration, app previews, and Git workflows as product functions. Model access is positioned around bring-your-own API keys, custom providers including local inference, and a stagewise Account.
In stagewise, a user browses and builds web applications while the built-in coding agent can access the current tab’s console and debugger. The user can make temporary test changes, or connect a codebase for permanent edits. The product says it can reverse-engineer a website’s components, style systems, and color palettes, and its IDE integration lets users view and apply code changes in their preferred editor. It also describes support for app previews, Git workflows, provider API keys, custom providers, and local inference.
- A frontend developer debugging a live page who wants a coding agent to work from the active tab’s console and debugger.
- An engineer who wants to test a change temporarily on a website before connecting a repository for a permanent edit.
- A developer inheriting a web interface and needing to identify its components, style system, and color palette.
- A team that wants to inspect and apply agent-produced edits from its existing preferred editor.
- A developer using a local inference service or custom model endpoint that needs a configurable provider and model.
How do you install or deploy this agent?
Download stagewise from stagewise.io and follow the short onboarding guide to set up an account. The supplied material does not document supported operating systems, package names, command-line installation, runtime versions, or a copyable launch command.
How do you use this agent?
After onboarding, create a stagewise Account or add an API key for a supported provider. The material names Moonshot AI, Alibaba DashScope, MiniMax, Xiaomi MiMo, Mistral, and OpenRouter, and says custom providers—including local inference—can be registered. Browse or build a page in the tool, use the built-in coding agent for temporary test changes, or connect a codebase for permanent edits; changes can be viewed and applied in a preferred editor. No first prompt, CLI invocation, API call, or configuration-file example is documented in the supplied material.
What are this agent's strengths and limitations?
- Combines browsing, building, app previews, and coding-agent work in one tool.
- The agent is explicitly described as having access to the active browser tab’s console and debugger.
- Supports both temporary test changes and permanent edits after a codebase is connected.
- Offers BYOK, custom providers, and local inference alongside the stagewise Account model-access option.
- The supplied material does not document supported operating systems, installation artifacts, runtime dependencies, or a self-hosted deployment path.
- No public commands, APIs, configuration fields, or runnable first example are provided, limiting evidence for reproducible automation.
- External model use generally requires a provider API key; stagewise Account usage is constrained by the Free, Pro, and Ultra plans and their limits.
- Because the agent accesses a tab’s console and debugger, teams should assess exposure of runtime information and credentials visible in those tools.
How does this agent compare with similar options?
Key facts side by side with the most closely related agents.
| Agent | Source review | Form / cost | Stars | Updated | Language | Full support on |
|---|---|---|---|---|---|---|
| stagewise This agent | 25 · Major gaps | Desktop appFreemium | ★ 6.8k | 2d ago | TypeScript | — |
| Omnigent | 62 · Some gaps | CLIFree + model costs | ★ 11k | today | Python | ChatGPT · Codex · Claude Code · Claude.ai · OpenAI API · Claude API |
| Loop Engineering | 69 · Some gaps | CLIFree + model costs | ★ 12k | 1d ago | TypeScript | Codex · Claude Code |
| Rovai AI | 49 · Major gaps | — | ★ 251 | today | Rust | Codex · Claude Code |
How does FollowAgents rate this agent?
Why each dimension lost points
Evidence shows a security policy and release workflows, but no specific implementation details for least privilege, user confirmation, data flow transparency, sensitive data handling, dependency security, external effects, rollback, or source attribution. Therefore all trust criteria score 0.
Unit tests exist (e.g., karton-client.test.ts) and package structure is consistent, but no failure messages or error handling documentation provided. Dependency availability partially evidenced via package.json and pnpm-lock.yaml, but not verified. Thus self-consistency scores 1, dependency availability 1, failure messages 0.
README describes multiple use cases (browsing, development, reverse engineering), but capability boundaries or trigger precision not clearly defined. Environment fit partially evidenced via package.json engines and build scripts, but not detailed. Thus audience and scenarios score 2, capability boundaries 1, trigger precision 0, environment fit 1.
Information architecture is clear (README, LICENSE, SECURITY.md), install notes are simple (download and BYOK), naming is stable (package name and version), examples and FAQ limited, known limitations not mentioned, license is AGPL-3.0, version changelog exists but not detailed, maintenance responsibility by stagewise GmbH. Thus information architecture 2, install notes 1, naming stability 1, examples and FAQ 1, known limitations 0, license 2, versioning changelog 1, maintenance responsibility 1.
Output usability evidenced via README feature descriptions, but no actual output examples. Marginal value high (multiple models and features), cost-benefit via free and paid plans, but not detailed. Thus output usability 1, marginal value 2, cost-benefit 1.
Claim traceability partially via README and code, but no independent verification. Cross-source corroboration limited, fact-inference separation unclear. Thus claim traceability 1, cross-source corroboration 1, fact-inference separation 1.
- Not found in source: least-privilege scopingGrant only what the task needs: a dedicated account or read-only token, scoped to specific directories and repos.
- Not found in source: confirmation before actingTurn on (or add) a confirmation step before it acts, and try it in a sandbox or test environment before real data.
- Not found in source: data-flow disclosureWatch which external services it contacts (proxy or firewall logs) and keep sensitive data out until you know where it goes.
- Not found in source: sensitive-data handlingUse dedicated, low-privilege, revocable API keys — never production credentials — and keep secrets out of logs.
- Not found in source: dependency securityPin versions and run a dependency audit (npm audit, pip-audit) before installing; prefer running it in a container.
- Not found in source: disclosed external effectsEstablish which external systems it writes to, sends to or changes, and verify with test accounts or repos before production.
- Not found in source: rollback or recovery pathBack up first, or work on a git branch or snapshot, so its changes can be undone.
- Not found in source: verifiable attributionInstall from the official repo or registry and check the publisher and URL to avoid look-alike packages.
- Static review cannot verify actual runtime behavior, so trust-related criteria score low.
- No specific implementation of least privilege or user confirmation mechanisms, further code review needed.
- Dependency security not verified, recommend checking for vulnerabilities.
Recent releases
Latest entries from the project's GitHub Releases. Notes are quoted from upstream as written, not rewritten or tested by FollowAgents.
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[email protected] Stagewise 1.31.1
Release notes excerpt
1.31.1 (2026-11-04) Bug Fixes * align desktop auth with patched API (2a378ba)View on GitHub ↗ -
[email protected] Stagewise 1.31.0
Release notes excerpt
1.31.0 (2026-10-29) Features * add persistent Klex Bots announcement (d346236) * remove account-first onboarding and hide Stagewise Inference while signed out (3aaff4c) Bug Fixes * guard preset activation against hidden stagewise routes (8025f09) * gate stagewise-routed presets and defaults while signed out (3b637d4)View on GitHub ↗