Search Results for "studio"
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Showing 4 open source projects for "studio"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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$300 Free Credits to Build on Google CloudStart your next project with $300 in free Google Cloud credit. Spin up VMs, run containers, query petabytes in BigQuery, or build agents with Gemini Enterprise Agent Platform. Once your credits are used, keep building with 20+ always-free tier products including Compute Engine, Cloud Storage, GKE, and Cloud Run functions. No commitment required—just sign up and start building.
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ictcrm
Customer Relation Management Software with CTI integration support
...It enables CRM users to make and receive calls directly from CRM, also export leads/contacts to the contact center, and run campaigns through ICTContact to connect with their customers with ease. ICTContact is advanced contact center software featuring omnichannel communications, unified communications, IVR studio, CRM operations, Collaboration, CRM business automation and integration, and multi-tenant and white label support suitable for contact centers, call centers, entrepreneurs, and Service Providers. ICTContact offers smart webrtc agent-based manual dialing, preview dialing as well as progressive dialing capabilities. -
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This project provides a C# wrapper for the AT&T/Lucent/Novell/Avaya TSAPI library. This library facilitates computer telephony integration with a TSAPI-compliant PBX system.
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This is a .Net 2.0 library for writing Vxml (VoiceXML) documents. Taking advantage of the builtin IntelliSense feature in Visual Studio 2005, the library can be used to write fast and easily errorless vxml documents.
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Flow keeps broadcasts flowing from studio to transmitter, even under adverse communications conditions.
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Stop vibe-debugging.AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
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