Cerebr is an intelligent AI assistant browser extension designed to enhance work efficiency and learning experience. It integrates powerful AI capabilities from various sources to provide features such as smart sidebar, multiple API support, cross-browser API configuration synchronization, comprehensive Q&A support, elegant rendering, real-time response, theme switching, and more. With a minimalist design and focus on delivering a seamless, distraction-free browsing experience, Cerebr aims to be your second brain for deep reading and understanding.

The llmgateway repository is a tool that provides a gateway for interacting with various LLM (Large Language Model) models. It allows users to easily access and utilize pre-trained language models for tasks such as text generation, sentiment analysis, and language translation. The tool simplifies the process of integrating LLMs into applications and workflows, enabling developers to leverage the power of state-of-the-art language models for various natural language processing tasks.

Desktop Commander MCP is a server that allows the Claude desktop app to execute long-running terminal commands on your computer and manage processes through Model Context Protocol (MCP). It is built on top of MCP Filesystem Server to provide additional search and replace file editing capabilities. The tool enables users to execute terminal commands with output streaming, manage processes, perform full filesystem operations, and edit code with surgical text replacements or full file rewrites. It also supports vscode-ripgrep based recursive code or text search in folders.

Agent Squad is a flexible, lightweight open-source framework for orchestrating multiple AI agents to handle complex conversations. It intelligently routes queries, maintains context across interactions, and offers pre-built components for quick deployment. The system allows easy integration of custom agents and conversation messages storage solutions, making it suitable for various applications from simple chatbots to sophisticated AI systems, scaling efficiently.

ComfyUI GeminiOllama Extension integrates Google's Gemini API, OpenAI (ChatGPT), Anthropic's Claude, Ollama, Qwen, and image processing tools into ComfyUI for leveraging powerful models and features directly within workflows. Features include multiple AI API integrations, advanced prompt engineering, Gemini image generation, background removal, SVG conversion, FLUX resolutions, ComfyUI Styler, smart prompt generator, and more. The extension offers comprehensive API integration, advanced prompt engineering with researched templates, high-quality tools like Smart Prompt Generator and BRIA RMBG, and supports video & audio processing. It provides a single interface to access powerful AI models, transform prompts into detailed instructions, and use various tools for image processing, styling, and content generation.

Multi-Agent Orchestrator is a flexible and powerful framework for managing multiple AI agents and handling complex conversations. It intelligently routes queries to the most suitable agent based on context and content, supports dual language implementation in Python and TypeScript, offers flexible agent responses, context management across agents, extensible architecture for customization, universal deployment options, and pre-built agents and classifiers. It is suitable for various applications, from simple chatbots to sophisticated AI systems, accommodating diverse requirements and scaling efficiently.

Director is a framework to build video agents that can reason through complex video tasks like search, editing, compilation, generation, etc. It enables users to summarize videos, search for specific moments, create clips instantly, integrate GenAI projects and APIs, add overlays, generate thumbnails, and more. Built on VideoDB's 'video-as-data' infrastructure, Director is perfect for developers, creators, and teams looking to simplify media workflows and unlock new possibilities.

DevDocs is a platform designed to simplify the process of digesting technical documentation for software engineers and developers. It automates the extraction and conversion of web content into markdown format, making it easier for users to access and understand the information. By crawling through child pages of a given URL, DevDocs provides a streamlined approach to gathering relevant data and integrating it into various tools for software development. The tool aims to save time and effort by eliminating the need for manual research and content extraction, ultimately enhancing productivity and efficiency in the development process.

Preswald is a full-stack platform for building, deploying, and managing interactive data applications in Python. It simplifies the process by combining ingestion, storage, transformation, and visualization into one lightweight SDK. With Preswald, users can connect to various data sources, customize app themes, and easily deploy apps locally. The platform focuses on code-first simplicity, end-to-end coverage, and efficiency by design, making it suitable for prototyping internal tools or deploying production-grade apps with reduced complexity and cost.

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.

LLM Polymath Chat Node is an advanced Chat Node for ComfyUI that integrates large language models to build text-driven applications and automate data processes, enhancing prompt responses by incorporating real-time web search, linked content extraction, and custom agent instructions. It supports both OpenAI’s GPT-like models and alternative models served via a local Ollama API. The core functionalities include Comfy Node Finder and Smart Assistant, along with additional agents like Flux Prompter, Custom Instructors, Python debugger, and scripter. The tool offers features for prompt processing, web search integration, model & API integration, custom instructions, image handling, logging & debugging, output compression, and more.

MAIAR is a composable, plugin-based AI agent framework designed to abstract data ingestion, decision-making, and action execution into modular plugins. It enables developers to define triggers and actions as standalone plugins, while the core runtime handles decision-making dynamically. This framework offers extensibility, composability, and model-driven behavior, allowing seamless addition of new functionality. MAIAR's architecture is influenced by Unix pipes, ensuring highly composable plugins, dynamic execution pipelines, and transparent debugging. It remains declarative and extensible, allowing developers to build complex AI workflows without rigid architectures.

LangManus is a community-driven AI automation framework that combines language models with specialized tools for tasks like web search, crawling, and Python code execution. It implements a hierarchical multi-agent system with agents like Coordinator, Planner, Supervisor, Researcher, Coder, Browser, and Reporter. The framework supports LLM integration, search and retrieval tools, Python integration, workflow management, and visualization. LangManus aims to give back to the open-source community and welcomes contributions in various forms.

The Mattermost Agents Plugin integrates AI capabilities directly into your Mattermost workspace, allowing users to run local LLMs on their infrastructure or connect to cloud providers. It offers multiple AI assistants with specialized personalities, thread and channel summarization, action item extraction, meeting transcription, semantic search, smart reactions, direct conversations with AI assistants, and flexible LLM support. The plugin comes with comprehensive documentation, installation instructions, system requirements, and development guidelines for users to interact with AI features and configure LLM providers.

Foxel is a highly extensible private cloud storage solution for individuals and teams, featuring AI-powered semantic search. It offers unified file management, pluggable storage backends, semantic search capabilities, built-in file preview, permissions and sharing options, and a task processing center. Users can easily manage files, search content within unstructured data, preview various file types, share files, and process tasks asynchronously. Foxel is designed to centralize file management and enhance search capabilities for users.

Open WebUI is an extensible, feature-rich, and user-friendly self-hosted WebUI designed to operate entirely offline. It supports various LLM runners, including Ollama and OpenAI-compatible APIs. For more information, be sure to check out our Open WebUI Documentation.

Keyboard GPT is an LSPosed Module that integrates Generative AI like ChatGPT into your keyboard, allowing for real-time AI responses, custom prompts, and web search capabilities. It works in all apps and supports popular keyboards like Gboard, Swiftkey, Fleksy, and Samsung Keyboard. Users can easily configure API providers, submit prompts, and perform web searches directly from their keyboard. The tool also supports multiple Generative AI APIs such as ChatGPT, Gemini, and Groq. It offers an easy installation process for both rooted and non-rooted devices, making it a versatile and powerful tool for enhancing text input experiences on mobile devices.

PokeLLMon is a tool that allows users to set up a local battle engine for Pokémon battles. It requires Python version 3.8 or higher and OpenAI version 1.7.2 or higher. Users can configure the OpenAI API to enhance their battles. The tool provides a platform for users to engage in local battles by running the main Python script with their username and password for PokeLLMon.

Code Atlas is a lightweight interpreter developed in C++ that supports the execution of multi-language code snippets and partial Markdown rendering. It consumes significantly lower resources compared to similar tools, making it suitable for resource-limited devices. It leverages llama.cpp for local large-model inference and supports cloud-based large-model APIs. The tool provides features for code execution, Markdown rendering, local AI inference, and resource efficiency.

Cerebr is an intelligent AI assistant browser extension designed to enhance work efficiency and learning experience. It integrates powerful AI capabilities from various sources to provide features such as smart sidebar, multiple API support, cross-browser API configuration synchronization, comprehensive Q&A support, elegant rendering, real-time response, theme switching, and more. With a minimalist design and focus on delivering a seamless, distraction-free browsing experience, Cerebr aims to be your second brain for deep reading and understanding.

ZCF (Zero-Config Claude-Code Flow) is a tool that provides zero-configuration, one-click setup for Claude Code with bilingual support, intelligent agent system, and personalized AI assistant. It offers an interactive menu for easy operations and direct commands for quick execution. The tool supports bilingual operation with automatic language switching and customizable AI output styles. ZCF also includes features like BMad Workflow for enterprise-grade workflow system, Spec Workflow for structured feature development, CCR (Claude Code Router) support for proxy routing, and CCometixLine for real-time usage tracking. It provides smart installation, complete configuration management, and core features like professional agents, command system, and smart configuration. ZCF is cross-platform compatible, supports Windows and Termux environments, and includes security features like dangerous operation confirmation mechanism.

Mirror Flowers is an out-of-the-box code security auditing tool that integrates local static scanning (line-level taint tracking + AST) with AI verification to help quickly discover and locate high-risk issues, providing repair suggestions. It supports multiple languages such as PHP, Python, JavaScript/TypeScript, and Java. The tool offers both single-file and project modes, with features like concurrent acceleration, integrated UI for visual results, and compatibility with multiple OpenAI interface providers. Users can configure the tool through environment variables or API, and can utilize it through a web UI or HTTP API for tasks like single-file auditing or project auditing.

Just-Chat is a containerized application that allows users to easily set up and chat with their AI agent. Users can customize their AI assistant using a YAML file, add new capabilities with Python tools, and interact with the agent through a chat web interface. The tool supports various modern models like DeepSeek Reasoner, ChatGPT, LLAMA3.3, etc. Users can also use semantic search capabilities with MeiliSearch to find and reference relevant information based on meaning. Just-Chat requires Docker or Podman for operation and provides detailed installation instructions for both Linux and Windows users.

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.