Projects sharing features with Reor

Note-gen is an artificial intelligence-assisted note-taking application and knowledge management tool designed for local-first data ownership. It functions as a workspace that leverages language models to organize, summarize, and synthesize personal notes into structured documents while maintaining offline accessibility. The platform distinguishes itself through a multimodal workflow orchestrator that chains sequences of tasks to process text, images, and external data. By integrating vision-language models, it extracts information from visual inputs like screenshots and documents, converting

This project is a collection of scripts and workflows for training, fine-tuning, and deploying large language models using the Hugging Face Transformers toolkit. It functions as a distributed training framework, a library for natural language processing task implementations, and a system for building retrieval-augmented generation chatbots. The repository includes specialized tools for model optimization, such as a Bayesian hyperparameter optimizer for automatically tuning model settings. It provides implementations for scaling model training across multiple graphics processors using data par

This project is a native C++ desktop application for personal knowledge management. It functions as a local-first markdown note-taking tool and knowledge base, ensuring data is stored directly on the local device for offline access and user ownership. The application distinguishes itself by transforming markdown task lists into interactive kanban boards for visual workflow tracking. It also emphasizes keyboard-driven productivity, utilizing system-wide hotkeys to summon the application to the foreground and navigate its interface without a mouse. The software provides hierarchical content or

Blinko is a personal knowledge management system and an LLM-powered knowledge base that enables users to capture and organize thoughts through a bi-directional knowledge graph. It functions as a RAG-enabled note-taking application and a self-hosted Markdown editor, allowing for the creation of permanent documentation and fleeting notes. The project distinguishes itself by integrating retrieval-augmented generation to provide conversational querying and AI-powered analysis of private document libraries. It supports both cloud-based and local AI model integration, enabling users to perform sema

oh-my-codex is an AI coding workflow orchestrator and a retrieval augmented generation documentation assistant. It manages complex programming tasks through a structured sequence of planning, execution, and verification phases, while providing tools for querying and translating technical documentation. The project utilizes Git worktrees to isolate parallel coding sessions, ensuring that concurrent tasks remain independent. It integrates a vector-store knowledge base to index documents into embeddings, enabling semantic search and factual context retrieval across multiple languages. The syste

This project is a comprehensive educational curriculum and structured learning path covering the full lifecycle of large language models. It provides a guided progression through the theory, architecture, training, and deployment of these models. The curriculum includes specialized guides on transformer architecture, model training tutorials, and frameworks for designing autonomous agents. It also provides dedicated resources for studying model safety and ethics. The material covers a wide range of technical capabilities, including distributed training strategies, parameter-efficient fine-tu

Casibase is an open-source platform that orchestrates multi-turn conversations with large language models and manages retrieval-augmented knowledge bases from a single interface. It provides a unified system for connecting to over 30 AI model providers, ingesting documents into vector embeddings for semantic search, and running autonomous agent loops that can drive a browser, search the web, execute commands, and integrate with external tools. The platform distinguishes itself by combining AI conversation management with infrastructure and application orchestration capabilities. It includes a

This project is a Zotero note management plugin that functions as a knowledge base orchestrator. It enables the creation of networked research notes through bidirectional linking between annotations and notes, providing a system for organizing and editing research directly within the Zotero environment. The tool distinguishes itself through a bidirectional synchronization system that keeps internal Zotero notes and external Markdown files consistent. It further integrates a conversational interface with large language models to assist in generating, summarizing, and modifying note content, an

BiliNote is a tool that converts video URLs into structured, organized notes. It works by extracting video content and metadata from major platforms, transcribing audio to text entirely on-device using a local speech recognition model, and then summarizing the transcript with a language model to produce clean notes that can include screenshots and timestamp links. What sets BiliNote apart is its configurable AI backend, which lets you choose and switch between different language model providers for generating summaries. All transcription happens offline and locally, preserving privacy and ena

GitJournal is a mobile-first note-taking application and self-hosted manager for creating a structured markdown knowledge base. It functions as a git-synced notebook, allowing users to organize long-term information and notes as markdown files with metadata. The system ensures data portability and ownership by storing notes in a private version control repository. This approach enables cross-device synchronization and consistency through the use of git operations. The application supports digital note migration by importing data from third-party services into a local markdown format. It furt

Langroid is a multi-agent orchestration framework and tool integration suite designed for building complex AI applications. It serves as a multi-modal integration layer that connects diverse local and remote language models with an agentic retrieval-augmented generation system. The project distinguishes itself through a collaborative message-exchange paradigm, allowing specialized agents to delegate tasks hierarchically and coordinate via structured communication. It features an advanced state management system for conversational AI, including the ability to rewind and prune conversation hist

SakuraLLM is a multi-format document translation system that hosts large language models for translating Japanese text into other languages. It functions as an inference server that exposes translation models through an OpenAI-compatible API, allowing any tool supporting the OpenAI client format to send translation requests. The system is designed as a glossary-aware translation engine that applies user-defined term dictionaries to ensure consistent translation of proper nouns and names across outputs. The project distinguishes itself by supporting multiple high-performance inference backends

mcp-context-forge is a Model Context Protocol federation gateway that unifies diverse AI tool servers and APIs into a single consistent interface for discovery and execution. It acts as a centralized proxy that aggregates multiple servers and APIs, allowing AI agents to access and invoke a unified set of tools, prompts, and resources. The project distinguishes itself through a multi-protocol translation bridge that converts communication between standard I/O, SSE, gRPC, and REST to enable interoperability between disparate tool servers. It includes a comprehensive LLM evaluation framework for

GPT4All is a cross-platform runtime environment designed to execute large language models directly on local consumer hardware. By leveraging an optimized C++ inference backend, it enables private, offline AI interactions without requiring an internet connection or external cloud services. The project provides a comprehensive ecosystem for managing the entire model lifecycle, including discovery, downloading, and configuration of local weights. What distinguishes the platform is its integrated retrieval-augmented generation engine, which allows users to index local documents into semantic vect

Khoj is a self-hosted artificial intelligence platform designed for personal knowledge management and semantic information retrieval. It functions as a private assistant that indexes your local documents, notes, and external workspaces, allowing you to interact with your data through natural language queries and conversational chat. By maintaining a local-first architecture, the system ensures that your information remains under your control while providing context-aware responses grounded in your personal knowledge base. The platform distinguishes itself through a modular, cross-platform int

FeHelper is a web browser extension toolbox and frontend development toolkit integrated into Chrome, Firefox, and Edge. It serves as a data transformation utility, a web page debugging tool, and an AI-powered coding assistant. The project distinguishes itself by integrating local models and OpenAI-compatible APIs to write, refactor, and repair code directly within the browser. It also provides capabilities for generating TypeScript schemas and Zod definitions from data samples using AI. The toolkit covers a broad range of developer utilities, including network debugging for HTTP and WebSocke

QOwnNotes is a desktop note editor that stores each note as a plain-text Markdown file on the local filesystem, avoiding proprietary formats and enabling direct file access. It functions as a Nextcloud Notes client, syncing notes and metadata with Nextcloud or ownCloud servers through a companion API service for versioning and sharing. The application also integrates with AI providers and exposes a local MCP server for external agents to search and fetch notes, and includes a companion browser extension for capturing web content, bookmarks, and screenshots. The editor distinguishes itself thr

Supermemory is an artificial intelligence memory management platform designed to provide autonomous agents with persistent, long-term knowledge bases. It functions as a centralized repository that synchronizes multimodal data, enabling agents to maintain context and historical information across complex, multi-session workflows. By serving as a knowledge graph engine and vector database orchestrator, the platform ensures that information remains accessible and relevant for automated tasks. The system distinguishes itself through its hybrid indexing approach, which combines vector similarity s

This project is a framework for integrating modular instruction packages and domain-specific tools into large language model agents. It provides a system for managing agent context and extending coding assistants through a modular prompt library of persona-based instruction sets and skill trees. The framework distinguishes itself through a persistent memory layer that tracks architectural decisions and infrastructure patterns to prevent regressions during autonomous code modifications. It includes an orchestrator for managing multi-agent swarms and autonomous coding loops that cycle through g

anytype-ts is a TypeScript client library and offline-first knowledge base client designed for managing structured layouts and modular blocks within a private distributed database. It functions as a zero-knowledge data synchronizer and schema-driven API wrapper that enables the secure replication of encrypted data across devices. The library utilizes peer-to-peer connectivity and zero-knowledge encryption to ensure data remains private and unreadable to hosting infrastructure. It employs a schema-driven approach to compile data definitions into typed language bindings, ensuring consistent com

Magic is an all-in-one productivity environment and agent platform designed for deploying, orchestrating, and managing multi-agent workflows. It functions as a coordination system that dispatches complex tasks to specialized agents, serving as both a workflow engine and a knowledge management system that synthesizes information from PDFs, websites, and databases into structured digital assets. The platform distinguishes itself through a multimodal content suite capable of generating professional business deliverables, including high-fidelity graphic assets, technical diagrams, and presentatio

Notable is a local-first markdown note-taking application designed for managing personal knowledge bases. It functions as a document management system that stores all notes and attachments as plain text files directly on the local disk, ensuring data ownership and compatibility with external file-system tools. The application prioritizes a keyboard-centric workflow, utilizing a command-palette-driven interface to facilitate rapid navigation and content manipulation. It provides a distraction-free writing environment that allows users to hide interface elements, helping to maintain focus while

QAnything is a retrieval-augmented generation application framework and self-hosted AI interface. It functions as a system that combines a vector database knowledge base, a document parsing service, and a hybrid search engine to generate answers based on private user data. The project features a modular pipeline architecture that allows users to independently replace components such as parsers, embedding models, and reranking engines. It supports local-first model deployment and offline operation to ensure data privacy, and includes a two-stage retrieval pipeline that merges dense vector embe

Paper-qa is a retrieval augmented generation system designed for question answering and analysis of scientific literature and technical documents. It functions as an LLM-powered research assistant that extracts grounded answers and summaries with citations from a document library. The system utilizes an agentic RAG orchestrator to iteratively refine search queries and gather evidence through multi-step tool calling. It features a multimodal document parser that extracts text, tables, and images from PDFs, alongside a vector-based indexer that embeds and caches document libraries for efficient

OpenChat is a conversational AI agent builder and customer service automation platform that uses large language models to power customer support chatbots across multiple channels. It provides tools for defining AI agent behavior, training on custom knowledge, managing actions, and controlling autopilot responses per channel. The platform enables deploying AI agents on web, phone, email, SMS, and WhatsApp, with a unified inbox for managing conversations across all channels. It includes CRM synchronization, automated workflows, contact segmentation, and analytics for tracking customer satisfact

Jeesite is a full-stack low-code development framework designed for building enterprise administrative portals using Spring Boot, MyBatis, and Vue. It functions as a comprehensive platform for creating administrative dashboards with integrated role-based access control and organizational data permission systems. The framework distinguishes itself through a combination of automated CRUD code generation and an integrated RAG platform that connects large language models to enterprise data via vector stores. It further incorporates a BPMN-based workflow engine to automate complex business process

PandaWiki is an AI-powered wiki and knowledge base platform that integrates large language models to automate content creation and information retrieval. It functions as a retrieval-augmented generation system for building technical wikis, FAQs, and documentation sites that provide automated answers grounded in a private knowledge base. The system acts as an enterprise knowledge bot, allowing the deployment of AI chatbots via web widgets and messaging applications like Discord. It further extends its operational capabilities by integrating with Model Context Protocol servers to connect the AI