Search Results for "local ai"
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Showing 3 open source projects for "local ai"
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Gen AI apps are built with MongoDB AtlasMongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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008
Open-source event-driven AI powered Softphone
008 is an open-source event-driven AI powered WebRTC Softphone compatible with macOS, Windows, and Linux. It is also accessible on the web (though official support for browser-related issues is not provided). The name '008' or 'agent 008' reflects our ambition: beyond crafting the premier Open Source Softphone, we aim to introduce a programmable, event-driven AI agent. This agent utilizes embedded artificial intelligence models operating directly on the softphone, ensuring efficiency... -
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go-matrix
First version of go-MATRIX, especially for TPS optimization and AI
First version of go-MATRIX, especially for TPS optimization and AI. In the current version, mining nodes that are elected but fail to report their base compute will get blacklisted and lose all rewards for that round. The new patch will raise the penalty for backlisted mining nodes. If blacklisted, your node is also unable to become a candidate mining Masternode for the next election cycle. Difficulty level drops when a new validation leader is elected. If there is a new validation leader... -
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"Java Artificial Intelligence Markup Language PAD" is a tool that manages ProgramD AI (on local or remote machines) and AIML files with real-time previews and it provides a network support to test AI capabilities over many network protocols.
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