Showing 513 open source projects for "automatic"

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  • 1
    dsh-deep-whale

    dsh-deep-whale

    Whale Girl skin series for DeepSeek Harness

    dsh-deep-whale is a standalone collection of whale-girl themed skins for the DeepSeek Harness Web GUI. It currently includes the Maid Atelier and ORCA LINK visual themes plus a dedicated skin manager. The themes provide distinct backgrounds, interface styling, character art, and light and dark mode presentation. The skin manager discovers installed themes, handles switching, and exposes skin-defined settings. Mutual exclusion prevents both themes from being active at the same time and can...
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  • 2
    FuXi

    FuXi

    FuXi is a fast, self-contained AI coding agent

    ...Its agent loop follows a Think, Act, and Verify pattern so models can reason about a task, make changes, and check the results. It supports cost-aware routing and automatic failover across multiple LLM providers, including OpenAI-compatible services and other supported backends. More than 50 built-in tools cover file operations, shell access, search, diagnostics, Jupyter, browser use, background tasks, and parallel sub-agents. Sessions are persistent, extensible through MCP, hooks, skills, and plugins, and protected by command classification, permissions, and audit logging.
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  • 3
    DSH Anchored Standard

    DSH Anchored Standard

    Two-phase DeepSeek Harness preset

    DSH Anchored Standard is a collection of experimental DeepSeek Harness presets designed to combine Minimal-style reasoning behavior with access to broader Standard tools. Its base mode begins a new session with only the real Minimal bash and text-editing tools while suppressing automatically injected context. After a durable tool call or assistant response, the preset promotes the session to a resident phase with discovery tools and restored Standard context. Additional modes experiment with...
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  • 4
    DeepSeek Engineer v2

    DeepSeek Engineer v2

    A powerful coding assistant application

    DeepSeek Engineer v2 is an AI-powered coding assistant built around DeepSeek models and an interactive terminal workflow. It lets developers discuss code, request analysis, and perform project work through natural language. Version 2.0 focuses on native function calling instead of rigid structured JSON responses. The assistant can read files, read multiple files, create files, create multiple files, and edit specific snippets when needed. It includes safeguards such as path validation,...
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  • 5
    HiDream-I1

    HiDream-I1

    Open-source image generative foundation model

    ...It supports direct Python inference scripts, an interactive Gradio demo, and integration through the Hugging Face Diffusers library. The model uses a Llama 3.1 text encoder path and requires the proper Hugging Face access setup for automatic downloads. It is useful for researchers, developers, and creative AI builders who want an open text-to-image model with strong benchmark performance and multiple deployment options.
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  • 6
    OpenSpace

    OpenSpace

    OpenSpace: Make Your Agents: Smarter, Low-Cost, Self-Evolving

    OpenSpace is a self-evolving agent framework designed to improve the performance, efficiency, and collaboration of AI agents through continuous learning and shared knowledge. It introduces a system where agents develop reusable “skills” based on real task execution, allowing them to improve over time without retraining underlying models. The platform emphasizes collective intelligence, enabling multiple agents to share learned behaviors and benefit from each other’s experiences. It also...
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  • 7
    koishi-plugin-novelai

    koishi-plugin-novelai

    Koishi plugin for NovelAI image generation with advanced controls

    ...It supports multiple configuration options, including model switching, sampler selection, and adjustable image sizes, giving users control over output quality and style. It includes advanced prompt syntax to refine results and allows automatic translation of Chinese keywords to improve usability across languages. A customizable banned word list helps filter unwanted content, while timed message recall can automatically delete generated outputs after a set period. Built on Koishi’s modular system, koishi-plugin-novelai can be extended with additional integrations, making it adaptable for different bot environments and use cases.
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  • 8
    RAG Web UI

    RAG Web UI

    RAG Web UI is an intelligent dialogue system based on RAG

    RAG Web UI is an open-source intelligent dialogue system built on retrieval-augmented generation technology, designed to enable users to create AI-powered question answering systems grounded in their own knowledge bases. It combines document retrieval with large language models to provide accurate, context-aware responses based on indexed data rather than generic model knowledge. The platform supports ingestion of multiple document formats, including PDFs, Word files, Markdown, and plain...
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  • 9
    LitServe

    LitServe

    Minimal Python framework for scalable AI inference servers fast

    ...LitServe is built on top of FastAPI and extends it with AI-specific optimizations such as efficient multi-worker execution, which can significantly improve throughput. It includes built-in capabilities for batching, streaming responses, and automatic scaling across CPUs and GPUs, enabling high-performance deployments.
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  • 10
    Apache Hamilton

    Apache Hamilton

    Helps data scientists define testable self-documenting dataflows

    Apache Hamilton is an open-source Python framework designed to simplify the creation and management of dataflows used in analytics, machine learning pipelines, and data engineering workflows. The framework enables developers to define data transformations as simple Python functions, where each function represents a node in a dataflow graph and its parameters define dependencies on other nodes. Hamilton automatically analyzes these functions and constructs a directed acyclic graph...
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  • 11
    PeterCat

    PeterCat

    A conversational Q&A agent configuration system

    PeterCat is an open-source conversational agent framework designed to create automated question-and-answer assistants for GitHub repositories and technical projects. The system allows developers to build AI-powered bots that understand project documentation, GitHub issues, and other repository content in order to answer questions from users or contributors. By simply providing the repository name or URL, the platform can automatically collect relevant project information and construct a...
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  • 12
    yt-fts

    yt-fts

    Search all of YouTube from the command line

    yt-fts, short for YouTube Full Text Search, is an open-source command-line tool that enables users to search the spoken content of YouTube videos by indexing their subtitles. The program automatically downloads subtitles from a specified YouTube channel using the yt-dlp utility and stores them in a local SQLite database. Once indexed, users can perform full-text searches across all transcripts to quickly locate keywords or phrases mentioned within the videos. The tool returns search results...
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  • 13
    Aix-DB

    Aix-DB

    Based on the LangChain/LangGraph framework

    Aix-DB is an open-source intelligent data analysis platform that combines large language models with database technologies to enable conversational data exploration. The system is designed as a ChatBI solution that allows users to query datasets using natural language and receive structured insights, charts, and visualizations automatically. Built on frameworks such as LangChain and LangGraph, Aix-DB integrates retrieval-augmented generation and Text-to-SQL capabilities to convert user...
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  • 14
    LangServe

    LangServe

    Helps developers deploy LangChain runnables and chains as a REST API

    LangServe is an open-source deployment framework designed to expose LangChain applications as production-ready REST APIs. The tool simplifies the process of turning language-model pipelines, chains, and agents into web services that can be accessed by external applications. Instead of manually writing API endpoints, developers can use LangServe to automatically generate a server that exposes LangChain workflows through HTTP interfaces. The framework is built on top of FastAPI and uses...
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  • 15
    ZAPI

    ZAPI

    ZAPI by Adopt AI is an open-source Python library

    ZAPI is a developer-centric API framework that streamlines building, testing, and deploying APIs with strong type safety and minimal boilerplate, helping teams deliver backend services faster with fewer errors. It emphasizes a declarative router and schema model that uses types to define request and response formats, providing clear contracts for frontend and backend teams while automatically generating documentation. Zapi abstracts many repetitive tasks such as validation, authentication...
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  • 16
    Vibium

    Vibium

    Browser automation for AI agents and humans

    Vibium is an open-source browser automation infrastructure built to serve both AI agents and human developers by simplifying control and interaction with real browsers. It integrates a single lightweight binary that manages browser lifecycle, implements a WebDriver BiDi proxy, and exposes a Model Context Protocol (MCP) server so language models or automation clients can control browser behavior without complex setup. This design makes it ideal for AI agents that need to interact with the...
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  • 17
    GetProfile

    GetProfile

    User profile and long-term memory for your AI agent

    GetProfile is a drop-in proxy layer that sits in front of your LLM provider to turn otherwise stateless chat requests into a system with persistent user profiles and long-term memory. Instead of forcing you to redesign your application, you route your model calls through GetProfile and it captures conversation context automatically as traffic flows. It then extracts structured traits and “memories” from those conversations, stores them, and injects the most relevant profile context back into...
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  • 18
    Ludwig AI

    Ludwig AI

    Low-code framework for building custom LLMs, neural networks

    ...Declarative YAML configuration file is all you need to train a state-of-the-art LLM on your data. Support for multi-task and multi-modality learning. Comprehensive config validation detects invalid parameter combinations and prevents runtime failures. Automatic batch size selection, distributed training (DDP, DeepSpeed), parameter efficient fine-tuning (PEFT), 4-bit quantization (QLoRA), and larger-than-memory datasets. Retain full control of your models down to the activation functions. Support for hyperparameter optimization, explainability, and rich metric visualizations. Experiment with different model architectures, tasks, features, and modalities with just a few parameter changes in the config. ...
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  • 19
    Bailing

    Bailing

    Bailing is a voice dialogue robot similar to GPT-4o

    Bailing is an open-source voice-dialogue assistant designed to deliver natural voice-based conversations by combining automatic speech recognition (ASR), voice activity detection (VAD), a large language model (LLM), and text-to-speech (TTS) in a single pipeline. Its goal is to offer a “voice-first” chat experience similar to what one might expect from a system like GPT-4o, but fully open and deployable by users. The project is modular: each core function — ASR, VAD, LLM, TTS — exists as a separately replaceable component, which allows flexibility in picking your preferred models depending on resources or languages. ...
    Downloads: 1 This Week
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  • 20
    FLAML

    FLAML

    A fast library for AutoML and tuning

    ...Users can find their desired customizability from a smooth range: minimal customization (computational resource budget), medium customization (e.g., scikit-style learner, search space, and metric), or full customization (arbitrary training and evaluation code). It supports fast automatic tuning, capable of handling complex constraints/guidance/early stopping. FLAML is powered by a new, cost-effective hyperparameter optimization and learner selection method invented by Microsoft Research.
    Downloads: 1 This Week
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  • 21
    NVIDIA NeMo

    NVIDIA NeMo

    Toolkit for conversational AI

    NVIDIA NeMo, part of the NVIDIA AI platform, is a toolkit for building new state-of-the-art conversational AI models. NeMo has separate collections for Automatic Speech Recognition (ASR), Natural Language Processing (NLP), and Text-to-Speech (TTS) models. Each collection consists of prebuilt modules that include everything needed to train on your data. Every module can easily be customized, extended, and composed to create new conversational AI model architectures. Conversational AI architectures are typically large and require a lot of data and compute for training. ...
    Downloads: 1 This Week
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  • 22
    Autoskills

    Autoskills

    One command. Your entire AI skill stack. Installed

    The Autoskills project is a developer tool that automates the installation of AI agent skills based on a project’s technology stack. It operates through a simple command-line interface that scans configuration files such as package.json and build scripts to detect the frameworks, languages, and tools used in a project. Once the stack is identified, it automatically installs a curated set of AI skills tailored to those technologies, significantly reducing setup time for AI-assisted...
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  • 23
    Superglue

    Superglue

    Builds integrations and tools from natural language

    Superglue is an AI-powered integration platform that enables developers to build production-grade tools and workflows using natural language, abstracting away the complexity of connecting APIs, databases, and external systems. It functions as a universal integration layer that allows users to define workflows in plain language, which are then translated into executable pipelines capable of interacting with multiple services. One of its defining features is its ability to handle...
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  • 24
    Gonzo

    Gonzo

    Real-time terminal log analyzer with AI insights and dashboards

    Gonzo is an open source, Go-based terminal UI for real-time log analysis. It lets developers and SREs analyze live log streams directly in the terminal using an interactive dashboard with charts, filters, and structured views. It supports multiple input sources, including files, stdin, and OpenTelemetry streams, while automatically detecting formats such as JSON and logfmt. Users can explore logs through a k9s-inspired layout, combining visualizations like heatmaps, severity distributions,...
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  • 25
    Text2Code for Jupyter notebook

    Text2Code for Jupyter notebook

    A proof-of-concept jupyter extension which converts english queries

    Text2Code for Jupyter notebook project is a proof-of-concept extension for Jupyter Notebook that allows users to generate Python code directly from natural language queries written in English. The tool is designed to simplify data analysis workflows by enabling users to describe their intended operation in plain language instead of manually writing code. When a user enters a textual command, the extension interprets the request and generates a corresponding Python code snippet that can be...
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