Hulunote is an open-source outliner note-taking application with bidirectional linking. It allows users to organize thoughts in hierarchical bullet points with infinite nesting, connect ideas with wiki-style links and backlinks, journal with automatic date-based pages, and maintain separate workspaces for different projects. The tool also offers experimental MCP client integration for enhanced functionality. Hulunote is designed for networked thought, inspired by Roam Research.

PySpur is a graph-based editor designed for LLM (Large Language Models) workflows. It offers modular building blocks, node-level debugging, and performance evaluation. The tool is easy to hack, supports JSON configs for workflow graphs, and is lightweight with minimal dependencies. Users can quickly set up PySpur by cloning the repository, creating a .env file, starting docker services, and accessing the portal. PySpur can also work with local models served using Ollama, with steps provided for configuration. The roadmap includes features like canvas, async/batch execution, support for Ollama, new nodes, pipeline optimization, templates, code compilation, multimodal support, and more.

RepoMaster is an AI agent that leverages GitHub repositories to solve complex real-world tasks. It transforms how coding tasks are solved by automatically finding the right GitHub tools and making them work together seamlessly. Users can describe their tasks, and RepoMaster's AI analysis leads to auto discovery and smart execution, resulting in perfect outcomes. The tool provides a web interface for beginners and a command-line interface for advanced users, along with specialized agents for deep search, general assistance, and repository tasks.

Bubble Lab is an open-source agentic workflow automation builder designed for developers seeking full control, transparency, and type safety. It compiles workflows into clean, production-ready TypeScript code that can be debugged and deployed anywhere. With features like natural language prompt to workflow generation, full observability, seamless migration from other platforms, and instant export as TypeScript/API, Bubble Lab offers a flexible and code-centric approach to workflow automation.

ChatDev is a virtual software company powered by intelligent agents like CEO, CPO, CTO, programmer, reviewer, tester, and art designer. These agents collaborate to revolutionize the digital world through programming. The platform offers an easy-to-use, highly customizable, and extendable framework based on large language models, ideal for studying collective intelligence. ChatDev introduces innovative methods like Iterative Experience Refinement and Experiential Co-Learning to enhance software development efficiency. It supports features like incremental development, Docker integration, Git mode, and Human-Agent-Interaction mode. Users can customize ChatChain, Phase, and Role settings, and share their software creations easily. The project is open-source under the Apache 2.0 License and utilizes data licensed under CC BY-NC 4.0.

MassGen is a cutting-edge multi-agent system that leverages the power of collaborative AI to solve complex tasks. It assigns a task to multiple AI agents who work in parallel, observe each other's progress, and refine their approaches to converge on the best solution to deliver a comprehensive and high-quality result. The system operates through an architecture designed for seamless multi-agent collaboration, with key features including cross-model/agent synergy, parallel processing, intelligence sharing, consensus building, and live visualization. Users can install the system, configure API settings, and run MassGen for various tasks such as question answering, creative writing, research, development & coding tasks, and web automation & browser tasks. The roadmap includes plans for advanced agent collaboration, expanded model, tool & agent integration, improved performance & scalability, enhanced developer experience, and a web interface.

Tingly Box is a tool that helps in deciding which model to call, compressing context, and routing requests efficiently. It offers secure, reliable, and customizable functional extensions. With features like unified API, smart routing, context compression, auto API translation, blazing fast performance, flexible authentication, visual control panel, and client-side usage stats, Tingly Box provides a comprehensive solution for managing AI models and tokens. It supports integration with various IDEs, CLI tools, SDKs, and AI applications, making it versatile and easy to use. The tool also allows seamless integration with OAuth providers like Claude Code, enabling users to utilize existing quotas in OpenAI-compatible tools. Tingly Box aims to simplify AI model management and usage by providing a single endpoint for multiple providers with minimal configuration, promoting seamless integration with SDKs and CLI tools.

Jetify's AI SDK for Go is a unified interface for interacting with multiple AI providers including OpenAI, Anthropic, and more. It addresses the challenges of fragmented ecosystems, vendor lock-in, poor Go developer experience, and complex multi-modal handling by providing a unified interface, Go-first design, production-ready features, multi-modal support, and extensible architecture. The SDK supports language models, embeddings, image generation, multi-provider support, multi-modal inputs, tool calling, and structured outputs.

NeuroPilot is an open-source AI-powered education platform that transforms study materials into interactive learning resources. It provides tools like contextual chat, smart notes, flashcards, quizzes, and AI podcasts. Supported by various AI models and embedding providers, it offers features like WebSocket streaming, JSON or vector database support, file-based storage, and configurable multi-provider setup for LLMs and TTS engines. The technology stack includes Node.js, TypeScript, Vite, React, TailwindCSS, JSON database, multiple LLM providers, and Docker for deployment. Users can contribute to the project by integrating AI models, adding mobile app support, improving performance, enhancing accessibility features, and creating documentation and tutorials.

Midscene.js is an AI-powered automation SDK that allows users to control web pages, perform assertions, and extract data in JSON format using natural language. It offers features such as natural language interaction, understanding UI and providing responses in JSON, intuitive assertion based on AI understanding, compatibility with public multimodal LLMs like GPT-4o, visualization tool for easy debugging, and a brand new experience in automation development.

AstronRPA is an enterprise-grade Robotic Process Automation (RPA) desktop application that supports low-code/no-code development. It enables users to rapidly build workflows and automate desktop software and web pages. The tool offers comprehensive automation support for various applications, highly component-based design, enterprise-grade security and collaboration features, developer-friendly experience, native agent empowerment, and multi-channel trigger integration. It follows a frontend-backend separation architecture with components for system operations, browser automation, GUI automation, AI integration, and more. The tool is deployed via Docker and designed for complex RPA scenarios.

InsForge is a backend development platform designed for AI coding agents and AI code editors. It serves as a semantic layer that enables agents to interact with backend primitives such as databases, authentication, storage, and functions in a meaningful way. The platform allows agents to fetch backend context, configure primitives, and inspect backend state through structured schemas. InsForge facilitates backend context engineering for AI coding agents to understand, operate, and monitor backend systems effectively.

ComfyUI-Copilot is an intelligent assistant built on the Comfy-UI framework that simplifies and enhances the AI algorithm debugging and deployment process through natural language interactions. It offers intuitive node recommendations, workflow building aids, and model querying services to streamline development processes. With features like interactive Q&A bot, natural language node suggestions, smart workflow assistance, and model querying, ComfyUI-Copilot aims to lower the barriers to entry for beginners, boost development efficiency with AI-driven suggestions, and provide real-time assistance for developers.

Mira is an agentic AI library designed for automating company research by gathering information from various sources like company websites, LinkedIn profiles, and Google Search. It utilizes a multi-agent architecture to collect and merge data points into a structured profile with confidence scores and clear source attribution. The core library is framework-agnostic and can be integrated into applications, pipelines, or custom workflows. Mira offers features such as real-time progress events, confidence scoring, company criteria matching, and built-in services for data gathering. The tool is suitable for users looking to streamline company research processes and enhance data collection efficiency.

Tracecat is an open-source automation platform for security teams. It's designed to be simple but powerful, with a focus on AI features and a practitioner-obsessed UI/UX. Tracecat can be used to automate a variety of tasks, including phishing email investigation, evidence collection, and remediation plan generation.

Chatbox is a desktop client for ChatGPT, Claude, and other LLMs, providing features like local data storage, multiple LLM provider support, image generation, enhanced prompting, keyboard shortcuts, and more. It offers a user-friendly interface with dark theme, team collaboration, cross-platform availability, web version access, iOS & Android apps, multilingual support, and ongoing feature enhancements. Developed for prompt and API debugging, it has gained popularity for daily chatting and professional role-playing with AI assistance.

Reor is an AI-powered desktop note-taking app that automatically links related notes, answers questions on your notes, and provides semantic search. Everything is stored locally and you can edit your notes with an Obsidian-like markdown editor. The hypothesis of the project is that AI tools for thought should run models locally by default. Reor stands on the shoulders of the giants Ollama, Transformers.js & LanceDB to enable both LLMs and embedding models to run locally. Connecting to OpenAI or OpenAI-compatible APIs like Oobabooga is also supported.

Hulunote is an open-source outliner note-taking application with bidirectional linking. It allows users to organize thoughts in hierarchical bullet points with infinite nesting, connect ideas with wiki-style links and backlinks, journal with automatic date-based pages, and maintain separate workspaces for different projects. The tool also offers experimental MCP client integration for enhanced functionality. Hulunote is designed for networked thought, inspired by Roam Research.

Blinko is an innovative open-source project designed for individuals who want to quickly capture and organize their fleeting thoughts. It allows users to seamlessly jot down ideas the moment they strike, ensuring that no spark of creativity is lost. With advanced AI-powered note retrieval, data ownership, efficient and fast capturing, lightweight architecture, and open collaboration, Blinko offers a comprehensive solution for managing and accessing notes.

Curiso AI is an infinite canvas platform that connects nodes and AI services to explore ideas without repetition. It empowers advanced users to unlock richer AI interactions. Features include multi OS support, infinite canvas, multiple AI provider integration, local AI inference provider integration, custom model support, model metrics, RAG support, local Transformers.js embedding models, inference parameters customization, multiple boards, vision model support, customizable interface, node-based conversations, and secure local encrypted storage. Curiso also offers a Solana token for exclusive access to premium features and enhanced AI capabilities.

Blinko is an innovative open-source project designed for individuals who want to quickly capture and organize their fleeting thoughts. It allows users to seamlessly jot down ideas, ensuring no spark of creativity is lost. With AI-enhanced note retrieval, data ownership, efficient and fast note-taking, lightweight architecture, and open collaboration, Blinko offers a robust platform for managing and accessing notes effortlessly.

Cody Product Builder is an opinionated, spec‑driven AI agent skill that helps product builders who use vibe coding techniques turn loose ideas into fully planned, production‑ready products using AI. It guides users through a structured flow of discovery, planning, chunking, and building to ensure clear thinking before generating code. The tool provides templates, commands, and a repeatable methodology for building products consistently and fast with AI integration. It bridges the gap between brainstorming and systematic development, offering structure without rigidity, iterative refinement, version-based development, and living documentation.

Char is an AI notetaking app designed for private meetings. It listens to meetings, crafts summaries, and can be used offline. Char captures details in real-time, offers customizable note templates, supports local language models, and integrates with various tools. It is suitable for taking notes during meetings, lectures, or organizing thoughts.

Remember-Me is a military-grade, offline 'Second Brain' AI tool that lives entirely on your hard drive. It combines local LLM inference with Quantum Dream Memory Architecture to help you think, remember everything, and answer to no one but you. The tool ensures 0% Cloud, 0% Spying, and 100% Ownership, providing a sovereign ecosystem for users to enhance their cognitive capabilities without relying on external servers or services.

Perplexica is an open-source AI-powered search engine that utilizes advanced machine learning algorithms to provide clear answers with sources cited. It offers various modes like Copilot Mode, Normal Mode, and Focus Modes for specific types of questions. Perplexica ensures up-to-date information by using SearxNG metasearch engine. It also features image and video search capabilities and upcoming features include finalizing Copilot Mode and adding Discover and History Saving features.

KULLM (구름) is a Korean Large Language Model developed by Korea University NLP & AI Lab and HIAI Research Institute. It is based on the upstage/SOLAR-10.7B-v1.0 model and has been fine-tuned for instruction. The model has been trained on 8×A100 GPUs and is capable of generating responses in Korean language. KULLM exhibits hallucination and repetition phenomena due to its decoding strategy. Users should be cautious as the model may produce inaccurate or harmful results. Performance may vary in benchmarks without a fixed system prompt.

MMMU is a benchmark designed to evaluate multimodal models on college-level subject knowledge tasks, covering 30 subjects and 183 subfields with 11.5K questions. It focuses on advanced perception and reasoning with domain-specific knowledge, challenging models to perform tasks akin to those faced by experts. The evaluation of various models highlights substantial challenges, with room for improvement to stimulate the community towards expert artificial general intelligence (AGI).

1filellm is a command-line data aggregation tool designed for LLM ingestion. It aggregates and preprocesses data from various sources into a single text file, facilitating the creation of information-dense prompts for large language models. The tool supports automatic source type detection, handling of multiple file formats, web crawling functionality, integration with Sci-Hub for research paper downloads, text preprocessing, and token count reporting. Users can input local files, directories, GitHub repositories, pull requests, issues, ArXiv papers, YouTube transcripts, web pages, Sci-Hub papers via DOI or PMID. The tool provides uncompressed and compressed text outputs, with the uncompressed text automatically copied to the clipboard for easy pasting into LLMs.

GPT Researcher is an autonomous agent designed for comprehensive online research on a variety of tasks. It can produce detailed, factual, and unbiased research reports with customization options. The tool addresses issues of speed, determinism, and reliability by leveraging parallelized agent work. The main idea involves running 'planner' and 'execution' agents to generate research questions, seek related information, and create research reports. GPT Researcher optimizes costs and completes tasks in around 3 minutes. Features include generating long research reports, aggregating web sources, an easy-to-use web interface, scraping web sources, and exporting reports to various formats.

ChatTTS is a generative speech model optimized for dialogue scenarios, providing natural and expressive speech synthesis with fine-grained control over prosodic features. It supports multiple speakers and surpasses most open-source TTS models in terms of prosody. The model is trained with 100,000+ hours of Chinese and English audio data, and the open-source version on HuggingFace is a 40,000-hour pre-trained model without SFT. The roadmap includes open-sourcing additional features like VQ encoder, multi-emotion control, and streaming audio generation. The tool is intended for academic and research use only, with precautions taken to limit potential misuse.

HebTTS is a language modeling approach to diacritic-free Hebrew text-to-speech (TTS) system. It addresses the challenge of accurately mapping text to speech in Hebrew by proposing a language model that operates on discrete speech representations and is conditioned on a word-piece tokenizer. The system is optimized using weakly supervised recordings and outperforms diacritic-based Hebrew TTS systems in terms of content preservation and naturalness of generated speech.

This repository is a collection of research lectures and experience sharing posts from frontline researchers in the field of AI. It aims to help individuals upgrade their research skills and knowledge through insightful talks and experiences shared by experts. The content covers various topics such as evaluating research papers, choosing research directions, research methodologies, and tips for writing high-quality scientific papers. The repository also includes discussions on academic career paths, research ethics, and the emotional aspects of research work. Overall, it serves as a valuable resource for individuals interested in advancing their research capabilities in the field of AI.