Showing 8 open source projects for "prototyping"

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  • 1
    LangGraph Studio

    LangGraph Studio

    Desktop app for prototyping and debugging LangGraph applications

    LangGraph Studio offers a new way to develop LLM applications by providing a specialized agent IDE that enables visualization, interaction, and debugging of complex agentic applications. With visual graphs and the ability to edit state, you can better understand agent workflows and iterate faster. LangGraph Studio integrates with LangSmith so you can collaborate with teammates to debug failure modes. While in Beta, LangGraph Studio is available for free to all LangSmith users on any plan...
    Downloads: 23 This Week
    Last Update:
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  • 2
    Free LLM API resources

    Free LLM API resources

    A list of free LLM inference resources accessible via API

    ...It collects a wide range of resources including hosted free-tier LLM APIs, documentation links, public model endpoints, open datasets useful for training or evaluation, tooling integrations, and examples showing how to interact with these services in real applications. This list helps developers, hobbyists, and researchers quickly find models they can use for prototyping, experimentation, or production proofs-of-concept without needing paid subscriptions, reducing friction for innovation. The repository typically categorizes offerings by provider, type of service (text, embeddings, vision), availability conditions (open without key, free tier with key), and usage examples to make discovery and adoption easier.
    Downloads: 8 This Week
    Last Update:
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  • 3
    apfel

    apfel

    Apple Intelligence from the command line

    apfel is a lightweight and likely experimental development project focused on building efficient and minimal tools or frameworks, typically emphasizing simplicity, performance, and clean abstractions. The project appears to follow a philosophy of reducing unnecessary complexity while still enabling practical functionality for developers who prefer lean systems over heavy frameworks. It is designed to be adaptable, allowing developers to extend or modify its behavior depending on their...
    Downloads: 2 This Week
    Last Update:
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  • 4
    spacy-llm

    spacy-llm

    Integrating LLMs into structured NLP pipelines

    ...With only a few (and sometimes no) examples, an LLM can be prompted to perform custom NLP tasks such as text categorization, named entity recognition, coreference resolution, information extraction and more. This package integrates Large Language Models (LLMs) into spaCy, featuring a modular system for fast prototyping and prompting, and turning unstructured responses into robust outputs for various NLP tasks, no training data required.
    Downloads: 0 This Week
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    Fast MCP

    Fast MCP

    A Ruby Implementation of the Model Context Protocol

    ...The framework focuses on ease of use, allowing developers to quickly define tools, endpoints, and integrations that can be accessed through MCP-compatible clients. By abstracting much of the underlying infrastructure, fast-mcp enables rapid prototyping of AI-enabled applications that can interact with external systems such as databases, APIs, or file systems. The project emphasizes performance and simplicity, making it suitable for both small prototypes and production deployments.
    Downloads: 0 This Week
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  • 6
    Deta Surf

    Deta Surf

    Personal AI Notebooks. Organize files & webpages and generate notes

    Surf is an open-source AI-driven development tool designed to simplify the process of building and experimenting with artificial intelligence applications. The platform provides a streamlined development environment where developers can test models, run experiments, and deploy small AI services with minimal infrastructure overhead. It focuses on simplicity and speed, allowing developers to prototype ideas quickly without managing complex cloud configurations. Surf integrates modern AI...
    Downloads: 0 This Week
    Last Update:
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  • 7
    Easy-Vibe

    Easy-Vibe

    Tutorial on Product Prototype, AI Capability Integration

    ...The learning path is divided into progressive stages that cover beginner concepts, full-stack development, and advanced multi-platform application development. Throughout the curriculum, learners explore topics such as prompt engineering, AI tool integration, product prototyping, and deployment strategies for AI-enabled applications.
    Downloads: 1 This Week
    Last Update:
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  • 8
    InternLM

    InternLM

    Official release of InternLM series

    InternLM is an open-source family of multilingual foundation and chat models, accompanied by an ecosystem that supports training, inference, and application development. The repository highlights multiple model sizes intended to serve different needs, from efficient research and prototyping to more capable deployments for complex scenarios. Beyond model weights, the project emphasizes an ecosystem view, pointing developers to compatible tools and projects across training and inference so teams can build end-to-end workflows. InternLM’s direction includes strong general-purpose capabilities and ongoing iterations that target improved reasoning, coding, and tool-use behaviors. ...
    Downloads: 0 This Week
    Last Update:
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