Stagewise
FreeThe coding agent built for the web. stagewise is a purpose-built browser for developers with a coding agent built right in.
FreeFree tier
About Stagewise
Stagewise is a next-generation agent orchestrator for software engineers, leveraging a frontier-grade agent harness. It provides an agentic coding experience with full model sovereignty: run locally, connect to any model provider, or use stagewise Cloud Inference. Key features include efficient context management with high cache hit rates (87.6% average), parallel agent orchestration, support for frontier and open-weight models, and enterprise readiness with self-hosting and compliance options. It is fully open source under AGPLv3.
Key Features
Works with all major model providers
Supports frontier, open-weight, and locally hosted models
Efficient context management with high cache hit rates (87.6% average)
Parallel agent orchestration for multiple tasks
Bring your own API key or use stagewise Cloud Inference
Open source under AGPLv3
Enterprise-ready with self-hosting, SSO, and compliance
Pros & Cons
Pros
- Supports a wide variety of models with no lock-in
- High cache hit rate reduces token costs
- Parallel agent execution for efficiency
- Open source (AGPLv3) with full code transparency
- Can run locally for privacy
- No API key required to start with cloud inference
- Enterprise features: SSO, compliance, self-hosting
Cons
- Free tier limited to 3 standard models
- Local model requires minimum 150k context
- Open source but contributions are reviewed carefully
- Relatively new project; may have limited community ecosystem
Best For
Software development and coding assistanceParallel bug fixing and feature implementationEnterprise agent orchestration on own infrastructureCode generation and refactoringAgentic IDE for developers using any model
FAQ
What models can I use with stagewise?
stagewise supports any model with agentic capabilities. Use frontier models (Claude, GPT, Gemini), open-weight models (DeepSeek, Qwen, GLM, Kimi, MiniMax), or locally hosted models (Ollama, vLLM, Llama.cpp) — all through the same interface.
Do I need an API key to get started?
No. With a stagewise Account, you get preconfigured access to a wide variety of models through stagewise Cloud Inference — no keys, configuration, or external subscriptions required. You can also bring your own API key or connect a custom endpoint at any time.
Can I run models locally?
Yes. You can configure stagewise Agents to use models from any source, including a local setup using Ollama or an on-premise deployment with vLLM. We support any inference provider that serves models via OpenAI Chat Completions API, OpenResponses API, or Anthropic Messages API. The minimum recommended context size is 150k tokens.
Is stagewise open source?
Yes. The stagewise Agentic IDE is fully open source under the AGPLv3 license. The entire codebase is publicly available on GitHub — you can inspect it, build from source, or run your own instance. External contributions are welcome but reviewed carefully to maintain quality and project direction.
Can I use my existing coding subscription?
Yes. stagewise supports bringing your own API keys for existing subscriptions including OpenAI, Anthropic, Google Gemini, DeepSeek, Kimi, Qwen, and MiniMax. You can also use API aggregators like OpenRouter or fireworks.ai.
How does stagewise handle context for long-running tasks?
stagewise keeps the conversation prefix stable across turns to maximize cache hit rates. When the environment changes, it sends a compact state delta instead of rebuilding the full context. This ensures the agent stays continuously aware of changes in terminals, browser tabs, and more, while remaining extremely token-efficient.