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stagewise

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Open-source agentic IDE and agent orchestrator for software engineers with full model sovereignty.

ウェブサイト:https://stagewise.io/
追加日:2026年7月13日
月間訪問者数:
8.2K
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agentic IDEAI coding agentsopen sourcemulti-agent orchestrationmodel sovereigntyself-hosted
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stagewise
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stagewiseとは何ですか?

stagewise is a next-generation agentic IDE and agent orchestrator that lets software engineers create, run, and manage AI coding agents using any compatible model via cloud inference, bring-your-own keys, or local deployment, with efficient context handling and multi-agent orchestration.

コア機能

  • Use any model

    Access frontier models (Claude, GPT, Gemini), open-weight models (DeepSeek, Qwen, GLM, Kimi, MiniMax), or locally hosted models (Ollama, vLLM, Llama.cpp) through the same interface with no lock-in.

  • Efficient coding agent

    Maximizes cache-hit rates and dynamically controls context to enable long-running tasks at low cost, with automatic context compression and compact state deltas.

  • Orchestrate many agents at once

    Serves as a command center for running multiple agents in parallel, each implementing full features or fixing bugs independently.

  • Use any coding subscription

    Supports stagewise Cloud Inference with a free account or connect existing subscriptions and API keys from OpenAI, Anthropic, Google Gemini, DeepSeek, Kimi, Qwen, MiniMax, OpenRouter, fireworks.ai, and more.

  • Local and on-premise inference

    Configure agents to use local models via Ollama or on-premise deployments with vLLM; supports any provider serving OpenAI Chat Completions, OpenResponses, or Anthropic Messages APIs (minimum 150k token context recommended).

  • Enterprise-ready deployment

    Run stagewise on your own infrastructure with your models and under your control.

  • Open source codebase

    Fully open source under the AGPLv3 license; entire codebase available on GitHub for inspection, building from source, or self-hosting.

使用例

  • #1

    Multi-agent feature implementation and bug fixing

    Run multiple agents in parallel as a command center, each independently implementing full features or fixing bugs.

  • #2

    Long-running coding tasks with token efficiency

    Handle extended agent tasks while maximizing cache hits, using stable conversation prefixes, compact state deltas, and automatic context compression.

  • #3

    Model-agnostic AI coding with open-weight or local models

    Use stagewise with models such as DeepSeek, GLM, MiniMax, or local setups for cost-effective, sovereign AI coding workflows.

  • #4

    Enterprise self-hosted agent orchestration

    Deploy the agentic IDE on internal infrastructure with private models and full control for team use.

以下に最適:software engineersdevelopersenterprise teams

料金プラン

The stagewise Agentic IDE is fully open source under the AGPLv3 license. A stagewise Account provides preconfigured access to models via stagewise Cloud Inference without requiring external API keys. Bring-your-own-key, external subscriptions, local inference, and enterprise self-hosted options are also supported. No detailed public pricing tiers are provided on the homepage.

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よくある質問

Is stagewise open source?
Yes. The stagewise Agentic IDE is fully open source under the AGPLv3 license, with the entire codebase available on GitHub for inspection, building from source, or self-hosting.
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. You can also bring your own keys, use external subscriptions, or run local inference.
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. It supports any provider serving OpenAI Chat Completions, OpenResponses, or Anthropic Messages APIs, with a minimum recommended context size of 150k tokens.
What models and providers does stagewise support?
stagewise supports frontier models (Claude, GPT, Gemini), open-weight models (DeepSeek, Qwen, GLM, Kimi, MiniMax), and locally hosted models (Ollama, vLLM, Llama.cpp). It also works with subscriptions and aggregators including OpenAI, Anthropic, Google Gemini, DeepSeek, Kimi, Qwen, MiniMax, Xiaomi MiMo, OpenRouter, and fireworks.ai.
Is stagewise suitable for enterprise teams?
Yes. You can run stagewise on your own infrastructure with your models and under your control for enterprise-ready, self-hosted agent orchestration.
How does stagewise handle long-running coding tasks?
It maximizes cache-hit rates and dynamically controls context with automatic context compression and compact state deltas to enable long-running tasks at low cost.

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ツール情報

料金モデルOpen Source
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agentic IDEAI coding agentsopen sourcemulti-agent orchestrationmodel sovereigntyself-hosted
言語英語
最終更新日2026年7月16日
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