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  • 1
    wllama

    wllama

    WebAssembly binding for llama.cpp - Enabling on-browser LLM inference

    ...By running models locally on the user’s device, wllama enables privacy-preserving AI applications that do not require sending data to remote servers. The framework provides both high-level APIs for common tasks such as text generation and embeddings, as well as low-level APIs that expose tokenization, sampling controls, and model state management.
    Downloads: 4 This Week
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  • 2
    ChatJS

    ChatJS

    Production-ready AI chat. Start here and make it your own

    ChatJS is a production-ready AI chat foundation for developers who want to launch customizable chat applications without rebuilding common infrastructure from scratch. The project presents itself as a starting point that already includes authentication, model access, streaming, and tool support so teams can focus on their own product-specific features. Its stack is centered on modern TypeScript web development, using technologies such as Next.js, AI SDK tooling, PostgreSQL, Redis, and type-safe configuration patterns. ...
    Downloads: 2 This Week
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  • 3
    llama.vscode

    llama.vscode

    VS Code extension for LLM-assisted code/text completion

    ...It integrates with the llama.cpp runtime to run language models locally, eliminating the need to rely entirely on external APIs or cloud providers. The extension supports common AI development features such as code completion, conversational chat assistance, and AI-assisted code editing directly within the IDE. Developers can select and manage models through a configuration interface that automatically downloads and runs the required models locally. The extension also supports agent-style coding workflows, where AI tools can perform more complex tasks such as analyzing project context or editing multiple files.
    Downloads: 2 This Week
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  • 4
    AI as Workspace

    AI as Workspace

    An elegant AI chat client. Full-featured, lightweight

    ...Instead of managing individual chat sessions separately, users can group conversations, artifacts, and tasks within customizable workspaces that support different projects or contexts. AIaW supports multiple AI providers and models through a flexible interface compatible with common API formats used by services such as OpenAI-style endpoints. The application also includes a plugin system that allows developers to extend the platform with additional capabilities such as automation tools, integrations, or custom AI utilities.
    Downloads: 0 This Week
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  • 5
    NativeMind Extension

    NativeMind Extension

    Your fully private, open-source, on-device AI assistant

    ...The extension is aimed at everyday browser workflows, offering features like multi-tab context awareness, webpage summarization, document understanding, contextual toolbars, and AI-assisted rewriting directly inside the browsing experience. Because it runs locally after setup, it is also positioned as an always-available assistant that avoids API quotas, network latency, and service outages common in cloud-based AI tools.
    Downloads: 0 This Week
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  • 6
    ModelFusion

    ModelFusion

    The TypeScript library for building AI applications

    ...The framework allows developers to integrate large language models and other generative systems into JavaScript and TypeScript applications through a consistent and standardized API. Instead of writing separate integration logic for each provider, developers can use ModelFusion to handle common operations such as text generation, structured object generation, streaming responses, and tool calls. The library supports a wide range of model types, including text generation models, vision models, text-to-speech engines, speech-to-text systems, and embedding models. It also includes built-in production features such as observability hooks, logging, automatic retries, and error handling mechanisms that improve reliability when deploying AI systems in real-world environments.
    Downloads: 0 This Week
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