stagewise sits squarely in the developer infrastructure layer of the AI agent ecosystem as an open-source agentic IDE and orchestrator. Rather than relying solely on static code analysis or text prompts, stagewise grounds coding agents with live environmental execution context, including DOM hierarchy, visual browser rendering, and shell outputs.
By open-sourcing its desktop platform under AGPLv3 and supporting local model execution via Ollama and vLLM alongside BYOK cloud APIs, stagewise promotes model sovereignty within the agent stack. Its architecture emphasizes context caching, state delta streaming, and multi-agent parallel execution, offering a concrete model for how autonomous agents can operate reliably on existing software repositories.
Most AI coding tools operate under a severe limitation: they read and edit raw source code files, but remain completely unaware of how the application actually renders in a browser. stagewise addresses this context gap by building an open-source agentic IDE that integrates the codebase directly with a live browser engine, terminal tabs, and local workspace tools. Instead of requiring developers to write verbose prompt descriptions when troubleshooting frontend bugs or adjusting visual components, stagewise lets engineers select elements directly on the running application interface. The platform extracts DOM trees, CSS properties, visual screenshots, and component metadata, delivering that structured context directly to the underlying AI agent alongside terminal output and local file structures.
Underneath its desktop environment, stagewise is an open-source agent orchestrator. Distributed under the AGPLv3 license, the entire codebase is publicly available on GitHub for auditability, custom modifications, or self-hosted enterprise deployments. Rather than binding developers to a single AI vendor or closed ecosystem, stagewise maintains strict model neutrality. The platform communicates with any LLM provider serving requests via OpenAI Chat Completions, OpenResponses, or Anthropic Messages APIs. Development teams can route complex architectural tasks to proprietary frontier models such as Claude 3.5 Sonnet, GPT-4o, or Gemini 1.5 Pro, while directing routine code generation to open-weight models like DeepSeek-R1, Qwen, or local instances powered by Ollama, vLLM, and LM Studio.
Long-running agentic tasks frequently fail or become expensive due to expanding context windows and unmanaged token usage. To mitigate this, stagewise implements a context runtime designed around prompt stability and incremental updates. The engine maintains a consistent prompt prefix across execution turns, achieving prompt cache hit rates that average over 87 percent. When developers interact with the preview browser, switch files, or run terminal commands, stagewise transmits compact state deltas rather than re-sending full repository indexes. As conversations lengthen, the system automatically compresses historical message history while keeping critical system instructions and active working files in memory.
Whereas no-code AI app builders primarily generate lightweight prototypes from scratch, stagewise is built for existing, production-grade repositories. Developers can spin up and monitor multiple agents in parallel across separate git branches — delegating a frontend refactoring task to one agent while another works through a backend API bug fix or writes automated test suites. The platform supports project-specific custom skills, slash command chaining, and direct pull request workflows on GitHub.
The company was founded in 2024 by Glenn Töws and Julian Götze, with operations in Bielefeld, Germany, and San Francisco. Backed by Y Combinator, stagewise caters to individual developers and enterprise teams requiring strict data privacy. Enterprise deployments offer SAML and OIDC single sign-on, global inference policy controls, compliance auditing, and dedicated European cloud inference options to keep source code entirely within specified regulatory jurisdictions.
An open-source agentic IDE designed to orchestrate AI coding agents with full model sovereignty and live visual application context.
stagewise is hiring.