Showing 7182 open source projects for "intelligence"

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  • 1
    LLM Agents Papers

    LLM Agents Papers

    Must-read Papers on LLM Agents

    LLM Agent Papers is an open-source repository that curates research papers related to large language model agents and autonomous AI systems. The project organizes academic literature that explores how language models can act as agents capable of reasoning, planning, and interacting with external tools or environments. Rather than providing software code, the repository functions as a structured knowledge base that helps researchers navigate the rapidly expanding field of agent-based AI...
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  • 2
    VLMEvalKit

    VLMEvalKit

    Open-source evaluation toolkit of large multi-modality models (LMMs)

    VLMEvalKit is an open-source evaluation toolkit designed for benchmarking large vision-language models that combine visual understanding with natural language reasoning. The toolkit provides a unified framework that allows researchers and developers to evaluate multimodal models across a wide range of datasets and standardized benchmarks with minimal setup. Instead of requiring complex data preparation pipelines or multiple repositories for each benchmark, the system enables evaluation...
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  • 3
    LMOps

    LMOps

    General technology for enabling AI capabilities w/ LLMs and MLLMs

    LMOps is a research initiative and open-source toolkit focused on the development and operational management of AI applications built with large language models and generative AI systems. The project explores the technologies and methodologies required to move foundation models from research environments into production-grade AI products. It includes experimental tools and frameworks that help developers optimize prompts, design workflows for generative models, and manage the lifecycle of...
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  • 4
    Integuru v0

    Integuru v0

    The first AI agent that builds permissionless integrations

    Integuru is an open-source AI agent designed to automatically create integrations between software platforms by reverse-engineering their internal APIs. Instead of relying on official developer documentation or publicly available APIs, the system analyzes network traffic generated by user interactions within a web application. Developers capture browser requests and authentication data, which the agent then uses to infer the structure of the platform’s internal API endpoints. Based on this...
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  • 5
    POML

    POML

    Prompt Orchestration Markup Language

    POML, or Prompt Orchestration Markup Language, is a structured markup language created to improve the organization and maintainability of prompts used in large language model applications. Traditional prompt engineering often relies on unstructured text, which can become difficult to manage as prompts grow more complex and incorporate dynamic data sources. POML addresses this issue by introducing an HTML-like syntax that allows developers to organize prompts into structured components such...
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  • 6
    Cybersecurity AI

    Cybersecurity AI

    Cybersecurity AI (CAI), the framework for AI Security

    CAI (Cybersecurity AI) is a lightweight open-source framework intended to help security practitioners build and deploy AI-assisted automation for defensive and offensive security workflows. The project frames itself as a practical foundation for “AI security,” focusing on turning security tasks into agentic workflows that can be composed, executed, and iterated on by practitioners. Rather than being a single-purpose tool, CAI is positioned as a framework that supports building multiple...
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  • 7
    Llama-Chinese

    Llama-Chinese

    Llama Chinese community, real-time aggregation

    Llama-Chinese is an open source community initiative focused on adapting and improving Meta’s LLaMA language models for Chinese language applications. The project aggregates datasets, research resources, tutorials, and tools that help developers train and fine-tune LLaMA-based models with Chinese linguistic capabilities. It also provides optimized versions of LLaMA models trained on large-scale Chinese datasets to improve performance in tasks such as translation, summarization, and...
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  • 8
    AI PDF Chatbot LangChain

    AI PDF Chatbot LangChain

    AI PDF chatbot agent built with LangChain & LangGraph

    ...It also supports real-time streaming responses and configurable LLM providers, giving developers flexibility in deployment. The repository is designed to be customizable and extensible so teams can adapt it to their own document intelligence workflows. Overall, it functions as a practical reference architecture for building document-aware AI assistants.
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  • 9
    ANE Training

    ANE Training

    Training neural networks on Apple Neural Engine via APIs

    ANE Training is an experimental research project that demonstrates how to train neural networks directly on Apple’s Neural Engine by leveraging reverse-engineered private APIs that are normally inaccessible to developers. 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...
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  • 10
    BettaFish

    BettaFish

    Public opinion analysis system

    BettaFish is an open-source, multi-agent public opinion analysis system built to automate the collection, deep analysis, and reporting of social media data at scale through conversational queries. It uses a modular architecture of specialized agents that collaborate to crawl mainstream platforms, extract multimodal content like text and short video, and synthesize insights through both statistical and large language model techniques. With a design that lets users pose questions in natural...
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  • 11
    Super comprehensive deep learning notes

    Super comprehensive deep learning notes

    Super Comprehensive Deep Learning Notes

    Super comprehensive deep learning notes is a massive and well-structured collection of deep learning notebooks that serve as a comprehensive study resource for anyone wanting to learn or reinforce concepts in computer vision, natural language processing, deep learning architectures, and even large-model agents. The repository contains hundreds of Jupyter notebooks that are richly annotated and organized by topic, progressing from basic Python and PyTorch fundamentals to advanced neural...
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  • 12
    Kimi k1.5

    Kimi k1.5

    Scaling Reinforcement Learning with LLMs

    Kimi-k1.5 is an advanced open-source multimodal large-language model project that explores scaling reinforcement learning with long-context chains of thought, achieving performance that rivals or surpasses state-of-the-art models on benchmarks like LiveCodeBench, AIME, and MATH-500. The project emphasizes a simplistic yet powerful framework where the context window scales up to 128k tokens, enabling reasoning that resembles planning, reflection, and correction over a much longer sequence of...
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  • 13
    MCP Apps

    MCP Apps

    Official repo for spec & SDK of MCP Apps protocol

    MCP Apps is an extension ecosystem for a context-driven AI application protocol that lets developers build modular, interoperable apps that work together in shared model environments. The project defines standards, interfaces, and reusable components so different application modules can communicate context, state, and user intent reliably while preserving privacy and user control. Designed to work with large language models and agent systems, Ext-Apps lets developers create plugins that...
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  • 14
    runprompt

    runprompt

    Run LLM prompts from your shell

    runprompt is an interactive command launcher and prompt utility that lets users bind shell commands, scripts, and workflows to quick keyboard shortcuts or natural-language queries, helping streamline repetitive terminal tasks and boost developer productivity. 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...
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  • 15
    TONL

    TONL

    TONL (Token-Optimized Notation Language)

    TONL is a cutting-edge data platform built around a production-ready serialization format designed to be both compact and powerful, combining human readability with performance features that make it suitable for large-scale applications and AI workflows. It provides a serialization format that significantly reduces token usage compared with traditional JSON, which can result in lower costs and more efficient prompt size utilization in LLM-driven systems. TONL isn’t just a format — it...
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  • 16
    Reader 3

    Reader 3

    Quick illustration of how one can easily read books together with LLMs

    This project is a minimalist, self-hosted EPUB reader designed to help users browse and read EPUB books one chapter at a time through a lightweight local server, making it especially easy to extract or work with chapters in external tools like large language models. It was created primarily as a simple demonstration of how to combine local book reading with LLM workflows without heavy dependencies or complicated setup, and it runs with just a small Python script and a basic HTTP server. The...
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  • 17
    LongCat-Image

    LongCat-Image

    Foundation model for image generation

    LongCat-Image is an open-source foundation model for image generation and editing created by the LongCat team at Meituan, designed to deliver high-quality visual outputs while remaining efficient and accessible for developers and researchers. Rather than relying on massive parameter counts typical of many cutting-edge models, LongCat-Image achieves strong photorealism, stable structure, and accurate bilingual (Chinese and English) text rendering with a more compact ~6-billion parameter...
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  • 18
    HN Time Capsule

    HN Time Capsule

    Analyzing Hacker News discussions from a decade ago in hindsight

    HN Time Capsule is a creative and nostalgic project that captures and preserves snapshots of Hacker News content over time, providing a historical look at how topics, discussions, and popular threads have evolved. Rather than functioning like a live aggregator, it stores periodic captures of posts and comments, creating a time capsule that lets researchers, enthusiasts, and historians trace changes in sentiment, technology trends, and community priorities across different eras of the Hacker...
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  • 19
    Playwriter

    Playwriter

    Chrome extension to let agents control your browser

    Playwriter is an open-source project that combines a Chrome extension with a CLI to allow autonomous agents to control a web browser directly using Playwright code in a stateful sandbox environment. The system enables browser automation by running Playwright commands through a persistent session managed by a background extension, allowing agents or scripts to navigate, interact with, and query browser contexts without losing state between commands. This makes it valuable for scenarios where...
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  • 20
    fast-stable-diffusion

    fast-stable-diffusion

    Fast-stable-diffusion + DreamBooth

    fast-stable-diffusion is a community-curated GitHub repository that provides Colab notebooks and integration examples for running Stable Diffusion and associated UIs like AUTOMATIC1111, ComfyUI, and DreamBooth directly on Google Colab environments. Rather than being a standalone packaged application, this project offers ready-to-use interactive notebooks that install and launch full-feature Stable Diffusion web UIs inside Colab without requiring complex local setups or GPU installations....
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  • 21
    video2robot

    video2robot

    End-to-end pipeline converting generative videos

    video2robot is an end-to-end open-source pipeline that converts generative video or prompt-driven motion content into executable humanoid robot motion sequences, enabling researchers and developers to go from high-level action descriptions or videos to robot-ready motion data. The pipeline supports both prompt-to-video generation using models like Veo/Sora and video upload processing, followed by human pose extraction through a 3D pose model and retargeting of that motion to robot joints...
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  • 22
    OpenTinker

    OpenTinker

    OpenTinker is an RL-as-a-Service infrastructure for foundation models

    OpenTinker is an open-source Reinforcement Learning-as-a-Service (RLaaS) infrastructure intended to democratize reinforcement learning for large language model (LLM) agents. Traditional RL setups can be monolithic and difficult to configure, but OpenTinker separates concerns across agent definition, environment interaction, and execution, which lets developers focus on defining the logic of agents and environments separately from how training and inference are run. It introduces a...
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  • 23
    Quint Code

    Quint Code

    Structured reasoning framework for Claude Code, Gemini, and Cursor

    Quint Code is a structured reasoning and decision-support framework aimed at making AI-assisted software engineering and decision workflows more rigorous and auditable. It implements the First Principles Framework (FPF) to guide users and AI tools through hypothesis generation, logical verification, evidence gathering, and documented decision making, reducing reliance on ad hoc or “vibe” coding. Instead of accepting the first plausible answer generated by an AI assistant, Quint Code...
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  • 24
    SERA CLI

    SERA CLI

    A tool to use the Ai2 Open Coding Agents Soft-Verified Agents

    SERA CLI is a command-line tool created by AllenAI to enable developers to interact with the SERA (Soft-Verified Efficient Repository Agents) model family using Claude Code as the execution front end. It provides a convenient interface for deploying, testing, and using SERA models without needing to write scaffold code from scratch, acting as both a proxy and utility wrapper to simplify workflows that involve large agent models. Through sera-cli, users can connect to local or cloud-hosted...
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  • 25
    DFlash

    DFlash

    Block Diffusion for Ultra-Fast Speculative Decoding

    DFlash is an open-source framework for ultra-fast speculative decoding using a lightweight block diffusion model to draft text in parallel with a target large language model, dramatically improving inference speed without sacrificing generation quality. It acts as a “drafter” that proposes likely continuations which the main model then verifies, enabling significant throughput gains compared to traditional autoregressive decoding methods that generate token by token. This approach has been...
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