Showing 716 open source projects for "custom-eclipse"

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  • 1
    FAY

    FAY

    Framework for building AI-powered interactive digital humans and agent

    ...Fay provides multiple interfaces for text, voice, and digital human control, enabling developers to build interactive assistants, virtual presenters, or automated service agents. It also supports custom knowledge bases and configurable behaviors so developers can tailor the personality and responses of the digital human.
    Downloads: 1 This Week
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  • 2
    ML.NET

    ML.NET

    Open source and cross-platform machine learning framework for .NET

    With ML.NET, you can create custom ML models using C# or F# without having to leave the .NET ecosystem. ML.NET lets you re-use all the knowledge, skills, code, and libraries you already have as a .NET developer so that you can easily integrate machine learning into your web, mobile, desktop, games, and IoT apps. ML.NET offers Model Builder (a simple UI tool) and ML.NET CLI to make it super easy to build custom ML Models.
    Downloads: 1 This Week
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  • 3
    EventCatalog

    EventCatalog

    Open source tool for documenting and exploring event-driven systems

    EventCatalog is an open source documentation tool designed for event-driven architectures. It helps teams organize, document, and understand complex systems by mapping events, services, domains, and flows in one place. Instead of scattered knowledge, it creates a central, searchable catalog that improves visibility and collaboration. Documentation is generated and maintained automatically, making it easier to keep systems up to date as they evolve. With built-in discoverability features,...
    Downloads: 11 This Week
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  • 4
    Paperclip

    Paperclip

    Open-source orchestration for zero-human companies

    Paperclip is an open-source tool designed to help AI systems and developer tools access academic research papers through a standardized interface. The project implements a server based on the Model Context Protocol (MCP), a framework that allows large language models and AI agents to connect to external data sources and tools in a consistent way. By acting as a middleware layer, Paperclip aggregates multiple academic databases and exposes them through a single interface, allowing AI...
    Downloads: 11 This Week
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    Train ML Models With SQL You Already Know

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  • 5
    Gemini Next Chat

    Gemini Next Chat

    Deploy your private Gemini application for free with one click

    ...It supports features like image recognition, voice-based conversation, plugins (web search, ArXiv search, weather, etc.), and client apps (tray app) for greater convenience. The project emphasizes “one-click” deployment, aiming to make it easy to spin up a custom chat front end without deep infra-setup. It’s licensed under MIT and has an active community of contributors; documentation and release notes note support for newer features like mixed image+text generation. The README warns of security configurations and customizing environment variables for model access.
    Downloads: 18 This Week
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  • 6
    Shire

    Shire

    Empower Your Dev Ecosystem with AI Agents

    ...Within AutoDev, we envisioned an AI-driven integrated development environment for developers, which included Shire’s predecessor, DevIns. DevIns was designed to empower users to create custom AI agents tailored to their own IDEs, thus forging a personalized AI-powered development realm.
    Downloads: 8 This Week
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  • 7
    Label Studio

    Label Studio

    Label Studio is a multi-type data labeling and annotation tool

    The most flexible data annotation tool. Quickly installable. Build custom UIs or use pre-built labeling templates. Detect objects on image, bboxes, polygons, circular, and keypoints supported. Partition image into multiple segments. Use ML models to pre-label and optimize the process. Label Studio is an open-source data labeling tool. It lets you label data types like audio, text, images, videos, and time series with a simple and straightforward UI and export to various model formats. ...
    Downloads: 21 This Week
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  • 8
    OP Vault

    OP Vault

    Give ChatGPT long-term memory using the OP Stack

    OP Vault is an open-source system designed to give large language models long-term memory by enabling them to interact with a custom knowledge base built from user-provided documents. It combines a backend written in Go with a React frontend, allowing users to upload files such as PDFs, text documents, and books to create a searchable repository of information. The system uses vector databases like Pinecone alongside OpenAI models to index and retrieve relevant content, enabling precise question-answering grounded in the uploaded materials. ...
    Downloads: 0 This Week
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  • 9
    ANE Training

    ANE Training

    Training neural networks on Apple Neural Engine via APIs

    ...The repository implements a from-scratch transformer training pipeline capable of running both forward and backward passes on ANE hardware without relying on CoreML, Metal, or GPU acceleration. It explores the internal software stack of the Apple Neural Engine by interfacing with private classes such as _ANEClient and compiling custom compute graphs in the MIL format. The project includes performance benchmarks and kernel breakdowns that show how different components of the training loop are distributed between the ANE and CPU. It is primarily intended as a research and educational proof of concept rather than a production library, highlighting what is technically possible with undocumented hardware access.
    Downloads: 0 This Week
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  • 10
    runprompt

    runprompt

    Run LLM prompts from your shell

    ...It functions as a lightweight, launcher-centric interface where you can type a phrase, partial command, or alias and have RunPrompt suggest or execute relevant actions instantly, reducing the need to memorize long commands or navigate complex directory structures. The project emphasizes extensibility, letting users define custom actions, integrate with existing shell environments, and even leverage fuzzy matching or contextual prompts to narrow down options as you type. Designed to be cross-platform, RunPrompt works with standard shells on Windows, macOS, and Linux while honoring the user’s preferred environment and configurations.
    Downloads: 0 This Week
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  • 11
    Bytebot

    Bytebot

    Bytebot is an AI desktop agent that automates computer tasks

    ...Bytebot can be embedded into editors, terminals, or CI/CD pipelines to provide contextual recommendations, highlight quality issues, and propose fixes based on understanding of code and project context. The framework is often extensible, allowing teams to define custom commands, workflows, or plug-ins that connect to internal APIs, coding standards, or proprietary repositories.
    Downloads: 0 This Week
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  • 12
    Stable Virtual Camera

    Stable Virtual Camera

    Stable Virtual Camera: Generative View Synthesis with Diffusion Models

    ...Unlike traditional methods that require complex reconstruction or scene-specific optimization, this model allows users to generate novel views from any number of input images and define custom camera trajectories, enabling dynamic exploration of scenes. It supports various aspect ratios and can produce 3D-consistent videos up to 1,000 frames, making it a versatile tool for creators seeking to enhance visual storytelling. ​
    Downloads: 0 This Week
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  • 13
    LlamaParse

    LlamaParse

    Parse files for optimal RAG

    LlamaParse is a GenAI-native document parser that can parse complex document data for any downstream LLM use case (RAG, agents). Load in 160+ data sources and data formats, from unstructured, and semi-structured, to structured data (API's, PDFs, documents, SQL, etc.) Store and index your data for different use cases. Integrate with 40+ vector stores, document stores, graph stores, and SQL db providers.
    Downloads: 5 This Week
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  • 14
    openclaw-kapso-whatsapp

    openclaw-kapso-whatsapp

    Give your OpenClaw AI agent a WhatsApp number

    ...The plugin is built in Go and handles communication entirely through cloud APIs, avoiding the risk of bans that come with unofficial or reverse-engineered interfaces. Projects like this make it possible for OpenClaw users to automate tasks, interact with personal contacts, or provide AI-driven services without building a custom bot infrastructure from scratch. Because OpenClaw itself runs on the user’s own hardware and can access external services, this WhatsApp extension serves as a bridge between the AI agent and daily messaging workflows.
    Downloads: 15 This Week
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  • 15
    notebooklm-py

    notebooklm-py

    Unofficial Python API and agentic skill for Google NotebookLM

    ...Its goal is to provide programmatic access not just to standard notebook operations, but also to many capabilities that are either limited or unavailable in the web interface, making it especially useful for automation and custom pipelines. The project covers notebook management, source ingestion, conversational querying, research workflows, and sharing controls, while also enabling the generation of a wide range of study and media artifacts. These outputs include audio overviews, videos, slide decks, infographics, quizzes, flashcards, reports, data tables, and mind maps, with configurable formats and export options.
    Downloads: 9 This Week
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  • 16
    Nanocoder

    Nanocoder

    A beautiful local-first coding agent running in your terminal

    ...The platform supports multiple AI providers through OpenAI-compatible APIs and can also integrate with local model runtimes such as Ollama or LM Studio. Its architecture emphasizes extensibility through custom commands and integration with Model Context Protocol servers that allow the AI agent to access additional tools.
    Downloads: 1 This Week
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  • 17
    Cheshire Cat AI

    Cheshire Cat AI

    AI agent microservice

    ...The framework includes built-in support for retrieval-augmented generation using vector databases such as Qdrant, enabling agents to incorporate external knowledge and documents into their responses. It is highly extensible through a plugin system that supports custom tools, event hooks, and workflows, giving developers fine-grained control over agent behavior and interactions. Cheshire Cat also supports multi-user environments with granular permissions and identity provider integration, making it suitable for enterprise use cases.
    Downloads: 11 This Week
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  • 18
    AI as Workspace

    AI as Workspace

    An elegant AI chat client. Full-featured, lightweight

    ...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: 11 This Week
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  • 19
    TabFM

    TabFM

    scikit-learn compatible tabular foundation model

    TabFM is a tabular foundation model from Google Research for zero-shot classification and regression on structured datasets. It is designed to work with mixed numerical and categorical columns without requiring a custom training run for every new table. Instead of fitting model weights to the user’s dataset, TabFM uses in-context learning by reading training examples and test rows together at inference time. The library provides scikit-learn-compatible classifier and regressor interfaces, which makes it familiar for data scientists already using Python ML workflows. ...
    Downloads: 6 This Week
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  • 20
    Local-NotebookLM

    Local-NotebookLM

    Googles NotebookLM but local

    Local-NotebookLM is a local AI tool for turning PDF documents into generated audio content. It works like a self-hosted alternative to NotebookLM-style document-to-audio workflows. The system extracts and processes PDF text, sends the content through an LLM, and converts the result into speech with configurable voices. Users can generate podcasts, summaries, interviews, lectures, debates, tutorials, news reports, executive briefs, and other formats. It supports multiple LLM providers,...
    Downloads: 6 This Week
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  • 21
    React Native RAG

    React Native RAG

    Private, local RAGs. Supercharge LLMs with your own knowledge base

    ...The library is modular, so developers can choose pieces such as LLM, embeddings, vector store, and text splitter components. It is also extensible, allowing teams to implement their own interfaces when they need custom model or storage behavior. React Native RAG supports multiple integration styles, including a simple hook, a class-based API, and direct component usage. Its main value is giving React Native apps a privacy-friendly way to combine local knowledge retrieval with on-device AI workflows.
    Downloads: 6 This Week
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  • 22
    Model Context Protocol (MCP)

    Model Context Protocol (MCP)

    Specification and documentation for the Model Context Protocol

    ...The project includes the specification, documentation, SDKs, maintained servers, and community infrastructure around the protocol. MCP is useful for AI-powered IDEs, chat systems, agent platforms, workflow tools, and custom enterprise assistants. It gives developers a consistent way to expose tools, prompts, resources, and server capabilities to language models. Its broader ecosystem supports many languages, including TypeScript, Python, Java, Kotlin, C#, Go, PHP, Ruby, Rust, and Swift.
    Downloads: 6 This Week
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  • 23
    FIT Framework

    FIT Framework

    An enterprise-level AI development framework

    FIT Framework is an open-source infrastructure designed to support the development, training, and evaluation of machine learning and AI models through a modular and scalable architecture. It aims to streamline the lifecycle of AI systems by providing standardized components for data processing, model training, evaluation, and deployment. The framework is particularly useful for research and production environments where reproducibility and consistency are critical, as it enforces structured...
    Downloads: 5 This Week
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  • 24
    mosaicml composer

    mosaicml composer

    Supercharge Your Model Training

    composer is a deep learning training framework built on PyTorch and designed to make large-scale model training more efficient, scalable, and customizable. At the center of the project is a highly optimized Trainer abstraction that simplifies the management of training loops, parallelization, metrics, logging, and data loading. The framework is intended for modern workloads that may span anything from a single GPU to very large distributed training environments, which makes it suitable for...
    Downloads: 6 This Week
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  • 25
    MemU

    MemU

    MemU is an open-source memory framework for AI companions

    ...SSO/RBAC integration and a dedicated algorithm team for scenario-specific optimization. User behavior analysis, real-time monitoring, and automated agent optimization tools. 24/7 dedicated support team, custom SLAs, and professional implementation services.
    Downloads: 6 This Week
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