Showing 23 open source projects for "updating"

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  • 1
    Kiro

    Kiro

    Kiro is an agentic IDE that works alongside you from prototype

    ...It introduces the concept of “specs,” which act as executable documentation that defines system behavior, constraints, and acceptance criteria, allowing developers to guide AI agents more precisely. Kiro also incorporates event-driven automation through “hooks,” enabling AI agents to perform tasks such as generating tests, updating documentation, or optimizing code whenever specific development events occur.
    Downloads: 15 This Week
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  • 2
    Airtable MCP

    Airtable MCP

    Airtable integration for AI-powered applications

    Airtable MCP is an integration tool that enables AI-powered applications to access and manipulate Airtable databases directly from the IDE using Anthropic's Model Context Protocol (MCP). It allows querying, creating, updating, and deleting records using natural language, facilitating seamless data management. ​
    Downloads: 0 This Week
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  • 3
    Google Calendar MCP

    Google Calendar MCP

    Google Calendar MCP server for Claude Desktop integration

    A Model Context Protocol server that allows AI assistants like Claude to interact with Google Calendar, enabling seamless calendar management through natural language conversations. ​
    Downloads: 0 This Week
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  • 4
    Talk to Figma MCP

    Talk to Figma MCP

    AI bridge enabling Cursor agents to read and modify Figma designs

    ...Through this integration, an AI assistant can read the structure of a design, retrieve information about nodes or selections, and perform modifications to the layout or content. cursor-talk-to-figma-mcp includes an MCP server and a Figma plugin that communicate through a WebSocket connection, enabling real-time interaction between the AI environment and the design canvas. Developers can automate tasks such as creating UI elements, updating text, organizing layout structures, or managing annotations inside a design file. It also provides strategies and helper prompts that guide AI agents in performing more complex design-related workflows.
    Downloads: 5 This Week
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    Gemini 3 and 200+ AI Models on One Platform

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  • 5
    MemoryOS

    MemoryOS

    MemoryOS is designed to provide a memory operating system

    MemoryOS is an open-source framework designed to provide a structured memory management system for AI agents and large language model applications. The project addresses one of the major limitations of modern language models: their inability to maintain long-term context beyond the limits of their prompt window. MemoryOS introduces a hierarchical memory architecture inspired by operating system memory management principles, allowing agents to store, update, retrieve, and generate information...
    Downloads: 3 This Week
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  • 6
    marimo

    marimo

    A reactive notebook for Python

    ...You'll always be able to reproduce your collaborators' results. Notebooks are executed in a deterministic order, with no hidden state, delete a cell and marimo deletes its variables while updating affected cells.
    Downloads: 3 This Week
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  • 7
    COCOON

    COCOON

    Confidential Compute Open Network, Decentralized AI Inference on TON

    ...The framework abstracts platform-specific details, enabling cross-platform development for Windows, macOS, and Linux with consistent behavior and performance. In addition to UI framework components, Cocoon provides networking primitives optimized for real-time communication, background updating, and seamless offline support.
    Downloads: 1 This Week
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  • 8
    Angel

    Angel

    A Flexible and Powerful Parameter Server for large-scale ML

    ...With a model-centered core design concept, Angel partitions the parameters of complex models into multiple parameter-server nodes and implements a variety of machine learning algorithms and graph algorithms using efficient model-updating interfaces and functions, as well as a flexible consistency model for synchronization. Angel is developed with Java and Scala. It supports running on Yarn. With PS Service abstraction, it supports Spark on Angel.
    Downloads: 0 This Week
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  • 9
    OpenLIT

    OpenLIT

    OpenLIT is an open-source LLM Observability tool

    ...Whether you're working with popular LLM providers such as OpenAI and HuggingFace, or leveraging vector databases like ChromaDB, OpenLIT ensures your applications are monitored seamlessly, providing critical insights including GPU performance stats for self-hosted LLMs to improve performance and reliability. This project proudly follows the Semantic Conventions of the OpenTelemetry community, consistently updating to align with the latest standards in observability.
    Downloads: 0 This Week
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  • 10
    JobWinner

    JobWinner

    Curated directory of thousands of generative AI tools by category

    AI Collection is a curated repository that aggregates a large number of generative AI applications into a single organized directory. It serves as a discovery platform where users can browse and explore AI tools across a wide range of categories and use cases. Instead of providing software code for a single application, AI Collection acts as a structured index that lists AI tools along with brief descriptions and visual previews. It organizes thousands of AI applications into dozens of...
    Downloads: 0 This Week
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  • 11
    Taipy

    Taipy

    Turns Data and AI algorithms into production-ready web applications

    ...No more compromise on performance, customization, and scalability. Taipy enhances performance with caching control of graphical events, optimizing rendering by selectively updating graphical components only upon interaction. Effortlessly manage massive datasets with Taipy's built-in decimator for charts, intelligently reducing the number of data points to save time and memory without losing the essence of your data's shape. Struggle with sluggish performance and excessive memory usage, as every data point demands processing. ...
    Downloads: 0 This Week
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  • 12
    Prompt in-context learning

    Prompt in-context learning

    Resources for in-context learning and prompt engineering

    ...The project gathers research papers, tutorials, prompt examples, and practical guides that help developers and researchers learn how to design effective prompts for models such as GPT-3, ChatGPT, and other foundation models. In-context learning refers to the ability of language models to learn a task directly from examples provided in the prompt without updating the model’s parameters, allowing them to perform new tasks through demonstration alone. The repository organizes this growing field by categorizing materials related to prompt design strategies, chain-of-thought reasoning, agents, and general large language model usage. It is designed as a continuously updated “awesome-style” resource that tracks recent research developments.
    Downloads: 0 This Week
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  • 13
    Red Discord Bot

    Red Discord Bot

    A multi-function Discord bot

    ...If the command you attempt to create shares a name with an already loaded command, you cannot overwrite it with this cog. Installation is easy, and you do not need to know anything about coding! Aside from installing and updating, every part of the bot can be controlled from within Discord. Additionally, other plugins (cogs) can be easily found and added from our growing community of cog repositories. Red is fully modular, allowing you to load and unload plugins of your choice.
    Downloads: 0 This Week
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  • 14

    AI_memory_Loops

    Persistent Memory Logic Loop

    Downloads: 0 This Week
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  • 15
    The Second Brain

    The Second Brain

    Self-hosted AI memory layer. Works with Claude, ChatGPT, Cursor.

    ...Your data never touches a third party after setup. Features semantic search via vector embeddings, time decay reranking, duplicate detection, and an append tool for updating existing memories without creating conflicts. MIT licensed. Open source.
    Downloads: 2 This Week
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  • 16
    Prompt-to-Prompt

    Prompt-to-Prompt

    Latent Diffusion and Stable Diffusion Implementation

    ...The method supports gentle edits (e.g., style, color, lighting) as well as stronger semantic substitutions, and it can localize edits to specific words or regions by selectively updating attention. Because edits are steerable via prompt wording and token weighting, creators can iterate quickly, exploring variations without losing composition. The repository includes reference notebooks and scripts that plug into popular latent diffusion backbones, making it practical to try the technique on your own prompts and seeds. ...
    Downloads: 0 This Week
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  • 17
    Recast Navigation

    Recast Navigation

    Navigation mesh generation and pathfinding toolkit for game AI systems

    ...Recast Navigation also includes modules such as DetourCrowd for crowd simulation and agent collision avoidance, as well as DetourTileCache for streaming and dynamically updating navigation meshes in large or changing environments.
    Downloads: 0 This Week
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  • 18
    aiode

    aiode

    Discord bot that plays Spotify tracks and YouTube videos or any URL

    ...Manage what roles can access which commands. Customize how you want to summon your bot by using a custom prefix or giving your bot a name. Advanced admin commands such as updating and rebooting the bot or cleaning up the database available to bot administrators. Capable scripting sandbox that enables running and storing custom Groovy scripts and modifying command behavior through interceptors.
    Downloads: 0 This Week
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  • 19
    DCGAN in Tensorflow

    DCGAN in Tensorflow

    Deep Convolutional Generative Adversarial Networks

    ...It serves both as an educational reference and as a practical starting point for developers experimenting with generative models. The implementation includes adjustments such as updating the generator more frequently than the discriminator to help stabilize training. Users can train models on built-in datasets or plug in their own image collections with minimal changes. Overall, the project remains a widely cited baseline for understanding GAN mechanics within the TensorFlow ecosystem.
    Downloads: 0 This Week
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  • 20
    insofts player
    insofts-player Free media player, with which you can easily and conveniently view video and listen to audio files in various formats, without installing additional codecs. View streaming video, audio.   Constantly updating the online media library Additional features: sound recording, uart protocol support, speech to text
    Downloads: 0 This Week
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  • 21
    AlgoWiki

    AlgoWiki

    Repository which contains links and resources on different topics

    ...Because it collects external resources rather than implementing software itself, the project acts as a reference library for students and developers who want to explore reliable educational content in computer science. Contributors can expand the repository by adding links, creating new topic categories, or updating outdated resources.
    Downloads: 0 This Week
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  • 22

    AdPreqFr4SL

    Adaptive Prequential Learning Framework

    ...Our strategy for incorporating new data is based on bias management and gradual adaptation. Starting with the simple Naive Bayes, we scale up the complexity by gradually updating attributes and structure. Since updating the structure is a costly task, we use new data to primarily adapt the parameters and only if this is really necessary, do we adapt the structure. The method for handling concept drift is based on the Shewhart P-Chart. Project homepage: http://adpreqfr4sl.sourceforge.net
    Downloads: 0 This Week
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  • 23
    MiniMax-M2.7

    MiniMax-M2.7

    Self-evolving AI model for agents, coding, and complex workflows

    MiniMax-M2.7 is a large-scale open-weight language model designed for advanced agent-based workflows, professional software engineering, and complex productivity tasks. With 229B parameters, it introduces a self-evolution framework in which the model actively improves its own capabilities by updating memory, generating skills, and iterating through reinforcement learning experiments. This process enables it to autonomously refine systems, achieving measurable performance gains such as a 30% improvement in programming scaffolds. M2.7 excels in real-world engineering scenarios, including debugging, log analysis, system monitoring, and root cause investigation, demonstrating strong system-level reasoning comparable to SRE workflows. ...
    Downloads: 0 This Week
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