The Agentic IDE for Open-Source Models
stagewise is a next-gen agent orchestrator for software engineers, leveraging our frontier-grade agent harness.Full model sovereignty. Runs locally, connects to anything.
Works with all major model providers
Built for developers
stagewise delivers an agentic coding experience built around the needs of developers.
Use any model
Access frontier and open-weight models through stagewise Cloud Inference, your own API subscriptions, or run them locally — no lock-in.
Efficient coding agent
The stagewise agent maximizes cache-hit rates and dynamically controls context — enabling long-running tasks at surprisingly low cost.
87.6%
Avg. Cache Hit Rate
Orchestrate many agents at once
stagewise is your command center for running agents in parallel — each implementing full features or fixing bugs independently.
Use any coding subscription
Use all popular models through your stagewise account, or connect any existing coding subscription.
Supported subscriptions
Ready for your enterprise
Run stagewise the way your team needs — on your infrastructure, with your models, under your control.
stagewise for EnterprisesFrom the news room
Building applied AI for a better future
stagewise focuses on making artificial intelligence accessible to anyone by keeping cost low and putting great emphasis on a simple user experience.
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Frequently Asked Questions
Everything you need to know about using stagewise with your models.
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.
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.
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.
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.
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.
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.
The runtime also automatically compresses context as tasks grow, keeping a focused working set.