20 projects for "pkg-config" with 2 filters applied:

  • Build Agents and Models on One Platform Icon
    Build Agents and Models on One Platform

    Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

    Gemini 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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    Secure File Transfer for Windows with Cerberus by Redwood

    Protect and share files over FTP/S, SFTP, HTTPS and SCP with the #1 rated Windows file transfer server.

    Cerberus supports unlimited users and connections on a single IP, with built-in encryption, 2FA, and a browser-based web client — all deployable in under 15 minutes with a 25-day free trial.
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  • 1
    Claude Code Config

    Claude Code Config

    My personal Claude Code configuration

    Claude Code Config is a highly customizable personal configuration repository for Claude Code, containing tailored rules, hooks, agents, skills, and commands meant to enhance the coding assistant experience. The project centralizes configuration files that instruct Claude Code how to behave in different contexts, automating repetitive tasks and enforcing coding patterns across languages or project types.
    Downloads: 0 This Week
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  • 2
    ZCF

    ZCF

    Zero-config CLI tool for Claude Code and Codex setup fast

    ZCF, short for Zero-Config Code Flow, is a command-line tool designed to simplify the setup and management of AI-assisted coding environments using Claude Code and Codex. It provides a one-click or interactive initialization process that automates installation, configuration, and workflow setup, allowing developers to get started within minutes without manual configuration steps.
    Downloads: 0 This Week
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  • 3
    AI Commits

    AI Commits

    A CLI that writes your git commit messages for you with AI

    ...The tool is designed to integrate cleanly into a developer’s workflow so that generating a descriptive commit message becomes a single command rather than a chore. It supports configuration via environment variables or config files so you can set your API key, preferred model, message style, and more. There are also options to preview, edit, or regenerate the AI-proposed message before actually committing, giving developers control instead of blindly trusting the output. Because it’s published as an npm package and even as a Homebrew formula, installation is straightforward across platforms.
    Downloads: 0 This Week
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  • 4
    Microsoft Agent Skills

    Microsoft Agent Skills

    Skills, MCP servers, Custom Agents, Agents.md for SDKs

    Microsoft Agent Skills is an actively maintained repository of skills, custom agents, templates, and MCP configuration files designed to extend AI coding assistants with deep knowledge about Azure SDKs and Microsoft AI Foundry services. The project bundles over a hundred domain-specific skills that teach AI agents how to perform tasks like Azure resource provisioning, SDK usage patterns, infrastructure setup, and common DevOps workflows, bridging the gap between agent reasoning and...
    Downloads: 2 This Week
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  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB 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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  • 5
    XHS-Downloader

    XHS-Downloader

    GUI/CLI tool for downloading Xiaohongshu

    XHS-Downloader is a GUI/CLI tool for downloading Xiaohongshu (Little Red Book) content without watermarks, supporting both graphics and video posts. Prebuilt packages for Windows and macOS are available from Releases and GitHub Actions artifacts, so most users can run it by unzipping and launching the included executable. The project offers two execution paths—run the compiled app or run from source—and documents default download and configuration paths to simplify first use. Recent releases...
    Downloads: 2 This Week
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  • 6
    MCP Language Server

    MCP Language Server

    mcp-language-server gives MCP enabled clients access semantic tools

    mcp-language-server gives MCP-enabled clients semantic code-navigation powers—go-to-definition, find references, rename, and diagnostics—by brokering requests to language servers. It is not “a language server for MCP,” but an MCP server that exposes language-server–style capabilities to agents and chat IDEs through typed tools. The README demonstrates a streamlined setup: install the Go server, plug in one or more language servers per language, and the MCP client gains editor-grade...
    Downloads: 0 This Week
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  • 7
    Unla

    Unla

    Gateway service that instantly transforms existing MCP Servers

    Unla is a lightweight, highly available MCP gateway written in Go that turns existing MCP servers or ordinary HTTP APIs into MCP-compliant services through configuration, not code changes. Its goal is to let teams “wire up” tools they already run—internal REST endpoints, third-party APIs, or local MCP servers—and present a single, reliable MCP interface to clients like Claude Desktop, Cursor, and IDEs. The gateway focuses on operational concerns you’d expect in production: multi-instance...
    Downloads: 0 This Week
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  • 8
    FastAPI-MCP

    FastAPI-MCP

    Expose your FastAPI endpoints as Model Context Protocol (MCP) tools

    fastapi_mcp lets you expose existing FastAPI endpoints as Model Context Protocol (MCP) tools with minimal setup, so AI agents can call your app as first-class tools. Rather than acting as a thin converter, it’s built as a native FastAPI extension that understands dependency injection, so you can reuse Depends() for authentication and authorization across your MCP tools. The server speaks directly to your app over its ASGI interface, avoiding extra HTTP hops between the MCP layer and your...
    Downloads: 0 This Week
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  • 9
    Laravel Boost

    Laravel Boost

    Laravel-focused MCP server for augmenting AI powered local development

    Boost is a Laravel-first toolkit that supercharges AI-assisted development by giving assistants structured, Laravel-aware context. At its core it runs as an MCP server that exposes a battery of Laravel-specific tools, so an AI agent can explore your app, inspect code and config, and take targeted actions instead of guessing. It ships opinionated, composable guidelines tuned for popular Laravel packages, which helps keep generated code idiomatic and consistent with framework norms. The package also curates a large body of vectorized Laravel ecosystem knowledge that’s scoped to what you’ve actually installed, improving retrieval precision and response quality. ...
    Downloads: 0 This Week
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  • Error to trace to log to deploy. One click. No SSH. Icon
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    AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
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  • 10
    AIConfig

    AIConfig

    AIConfig is a config-based framework to build generative AI apps

    AIConfig is an open-source framework designed to simplify the development and management of generative AI applications by separating AI logic from application code. The framework allows prompts, model configurations, and parameters to be stored as structured configuration files that can be version controlled and managed independently from the rest of the software system. This approach improves collaboration between developers, prompt engineers, and machine learning practitioners by turning...
    Downloads: 0 This Week
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  • 11
    DeepSeek LLM

    DeepSeek LLM

    DeepSeek LLM: Let there be answers

    The DeepSeek-LLM repository hosts the code, model files, evaluations, and documentation for DeepSeek’s LLM series (notably the 67B Chat variant). Its tagline is “Let there be answers.” The repo includes an “evaluation” folder (with results like math benchmark scores) and code artifacts (e.g. pre-commit config) that support model development and deployment. According to the evaluation files, DeepSeek LLM 67B Chat achieves strong performance on math benchmarks under both chain-of-thought (CoT) and tool-assisted reasoning modes. The model is trained from scratch, reportedly on a vast multilingual + code + reasoning dataset, and competes with other open or open-weight models. ...
    Downloads: 2 This Week
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  • 12
    Detectron

    Detectron

    FAIR's research platform for object detection research

    Detectron is an object detection and instance segmentation research framework that popularized many modern detection models in a single, reproducible codebase. Built on Caffe2 with custom CUDA/C++ operators, it provided reference implementations for models like Faster R-CNN, Mask R-CNN, RetinaNet, and Feature Pyramid Networks. The framework emphasized a clean configuration system, strong baselines, and a “model zoo” so researchers could compare results under consistent settings. It includes...
    Downloads: 0 This Week
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  • 13
    SmartGPT

    SmartGPT

    A program that provides LLMs with ability to complete complex tasks

    SmartGPT is an experimental autonomous agent framework built to help large language models tackle complex tasks with minimal or no additional user input. It works by decomposing larger objectives into smaller steps and gathering information from the internet and other outside sources as needed. The project is written in Rust and emphasizes modularity, allowing developers to compose different “Autos” depending on the workflow they want to build. Its architecture separates responsibility...
    Downloads: 0 This Week
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  • 14
    Denoiser

    Denoiser

    Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)

    Denoiser is a real-time speech enhancement model operating directly on raw waveforms, designed to clean noisy audio while running efficiently on CPU. It uses a causal encoder-decoder architecture with skip connections, optimized with losses defined both in the time domain and frequency domain to better suppress noise while preserving speech. Unlike models that operate on spectrograms alone, this design enables lower latency and coherent waveform output. The implementation includes data...
    Downloads: 3 This Week
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  • 15
    OpenSeq2Seq

    OpenSeq2Seq

    Toolkit for efficient experimentation with Speech Recognition

    OpenSeq2Seq is a TensorFlow-based toolkit for efficient experimentation with sequence-to-sequence models across speech and NLP tasks. Its core goal is to give researchers a flexible, modular framework for building and training encoder–decoder architectures while fully leveraging distributed and mixed-precision training. The toolkit includes ready-made models for neural machine translation, automatic speech recognition, speech synthesis, language modeling, and additional NLP tasks such as...
    Downloads: 0 This Week
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  • 16
    The TUM personal robotics package is a collection of libraries that aims to offer methods for personal robotic assistants to operate successfully in indoor environments.
    Downloads: 0 This Week
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  • 17
    The CMU personal robotics package offers many robotics algorithms/controllers/drivers that enable robots to perform basic tasks like manipulation and vision. The main infrastructure used is OpenRAVE and Robot Operating System (ROS).
    Downloads: 0 This Week
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  • 18
    The WU personal robotics package is a collection of robotics middleware developed by WashU faculty, students, and staff.
    Downloads: 0 This Week
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  • 19
    A Perl script that renames files of a config-file specified type (ex: mp3) to a user specified naming scheme. The script tries to resolve parts of the file name to specific variables (ex: title). Will prompt for duplicates and keep a log.
    Downloads: 0 This Week
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  • 20
    BLEURT-20-D12

    BLEURT-20-D12

    Custom BLEURT model for evaluating text similarity using PyTorch

    BLEURT-20-D12 is a PyTorch implementation of BLEURT, a model designed to assess the semantic similarity between two text sequences. It serves as an automatic evaluation metric for natural language generation tasks like summarization and translation. The model predicts a score indicating how similar a candidate sentence is to a reference sentence, with higher scores indicating greater semantic overlap. Unlike standard BLEURT models from TensorFlow, this version is built from a custom PyTorch...
    Downloads: 0 This Week
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