Open-source Workspace Intelligence for software systems. For developers, CI, IDEs, and AI agents. Give your AI agent the system, not just the repository.

Germany
Joined April 2026
What are you building today? Backend? Frontend? Desktop app? AI agent? Extension? wspai create Pick one. We'll take it from there.
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You adopt your project with Workspai. Workspai adapts it for the AI frontier.
🤖 Made with AI
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Google ADK support is coming to Workspai. Build governed agents with Python or TypeScript. Gemini. Vertex AI. Tools. Workflows. Sessions. A2A. OpenAI. Microsoft. Google. One workspace. One governance layer. No framework lock-in.
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Starting an AI agent shouldn't start with configuring everything yourself. wspai create Pick OpenAI Agents SDK. Pick Python or TypeScript. Start building. Now stable in Workspai 0.76.0.
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And now you can use the OpenAI Agents SDK with the full Workspai workflow around it. Context, scope, verification, and governed changes.
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The useful part isn't just starting the project. It's starting with the workflow around it already in place.
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Today, anyone can turn an idea into reality. But building a system that can prove it actually works? That's a different matter.
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Would you trust an AI to build your app… if you never had to see the code?
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AI was built to solve our problems. Now, it's becoming one of them.
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What if your entire AI development stack could be ready in a few clicks? Web: Next.js / React / ... Language: Rust / Python / ... Agent Framework: Microsoft Agent Framework / OpenAI / ... Gateway: OpenRouter / Vercel AI Gateway / ... Model: GPT / Claude / Gemini / Grok / Kimi / Qwen / ... Workflow: Workspai Pick the stack. Start building.
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Start with: npx workspai create
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More agent frameworks are coming to Workspai. OpenAI Agents SDK Google ADK Claude Agent SDK CrewAI Pydantic AI Choose your framework. Workspai handles workflow management, scopes, context, and validation, ensuring you remain in control.
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Which agent framework should we add next?
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And if that starting point is stale or ambiguous, it should fail closed, not guess.
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From an adopted project, use the portable entry resolver instead of discovering the workspace path yourself: npx workspai agent bootstrap --for-agent generic --strict --json
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Refresh the workspace once, and your agents start from the same current context.
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The best validation comes from people actually using the product.
Good products don't need much noise. Real users find them eventually.
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# Terminal A npx workspai live # Terminal B npx workspai workspace intelligence run --for-agent generic --strict --json
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