Search Results for "knowledge" - Page 7
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Showing 2087 open source projects for "knowledge"
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Dnote
A simple command line notebook
...Its search is optimized to handle large collections of notes, allowing users to find relevant information instantly, which makes it especially helpful for developers, engineers, and power users who accumulate practical knowledge over time. -
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Anoma
Reference implementation of Anoma
...Unlike traditional account-based or UTXO models, Anoma introduces intents as the fundamental units of interaction, allowing participants to express what they want without specifying how it must be achieved. The protocol is designed with privacy, interoperability, and decentralization at its core, and is built using Rust and zero-knowledge cryptography tools. It aims to serve decentralized finance, identity, and coordination systems in a novel and user-centric way. -
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Huly
All-in-One Project Management Platform
...Various teams are building products on top of the Platform, including Huly and TraceX. Huly, an open source platform, serves as an all-in-one replacement for Linear, Jira, Slack, and Notion. Huly is a process, project, time, and knowledge management platform that provides amazing collaboration opportunities for developers and product teams alike. Work efficiently with instant access to common actions. Keep track of the bigger picture by viewing all individual tasks in one centralized team calendar. Transform daily tasks into structured time blocks for focused productivity. ... -
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Tipi
Runtipi is a homeserver for everyone, one command setup
...Chose any app from our app store and install it pre-configured. It just works and everything can be customized to your needs. Install your favorite self-hosted apps with a single click. No configuration, no docker knowledge required. -
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Cluster Template
A template for deploying a Kubernetes cluster with k3s or Talos
Welcome to my opinionated and extensible template for deploying a single Kubernetes cluster. The goal of this project is to make it easier for people interested in using Kubernetes to deploy a cluster at home on bare-metal or VMs. At a high level, this project makes use of makejinja to read in a configuration file which will render out pre-made templates that you can then use to customize your Kubernetes experience further. The features included will depend on the type of configuration you... -
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Bayesian Statistics
This repository holds slides and code for a full Bayesian statistics
This repository holds slides and code for a full Bayesian statistics graduate course. Bayesian statistics is an approach to inferential statistics based on Bayes' theorem, where available knowledge about parameters in a statistical model is updated with the information in observed data. The background knowledge is expressed as a prior distribution and combined with observational data in the form of a likelihood function to determine the posterior distribution. The posterior can also be used for making predictions about future events. ... -
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Cyber
Semantic non-deterministic Superintelligence consensus computer
...There are however at least 3 problems associated with the above-mentioned implementations. (1) the subjective nature of relevance, (2) difficulty in scaling consensus computers for over-sized knowledge graphs, (3) the lack of quality amongst such knowledge graphs. They are prone to various surface attacks, such as sybil attacks, and the selfish behavior of the interacting agents. In this document, we define a protocol framework for provable consensus computing of relevance, between content-addresable objects, which can be computed on GPUs. -
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Pyrite64
N64 Game-Engine and Editor using libdragon & tiny3d
...It focuses on lowering the barrier to entry for N64 homebrew by wrapping low-level graphics and hardware interactions into more approachable abstractions. Because developing for the N64 typically requires deep hardware knowledge, pyrite64 aims to provide a more ergonomic workflow while still preserving performance suitable for real hardware. The engine supports building and running projects in authentic N64 environments, making it attractive for hobbyists, retro enthusiasts, and preservation-minded developers. -
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Memary
The Open Source Memory Layer For Autonomous Agents
Memary is a journaling and personal memory management application that helps users record and retrieve past experiences. It focuses on simplicity, ease of use, and structured data storage for personal reflections and knowledge tracking. -
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Relaticle
The Next-Generation Open-Source CRM Platform written with Laravel
Relaticle is a self-hosted knowledge graph and note linking platform designed to help users organize, connect, and explore ideas in a visual and intuitive way. It blends the simplicity of a note-taking system with the power of a graph database, allowing users to create nodes for concepts, link them through relationships, and navigate their thoughts like a map instead of a linear document. -
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r2modman
A simple and easy to use mod manager for several games
...Built with Electron, TypeScript, and Vue, the application focuses on providing a clean, beginner-friendly interface so players can manage complex mod setups without deep technical knowledge. It allows users to download, enable, disable, update, and uninstall mods with a few clicks while keeping the base game playable through normal launchers like Steam. The tool supports multiple popular mod-heavy games such as Risk of Rain 2, Valheim, GTFO, and others, making it a central hub for Thunderstore-based modding workflows. ... -
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ChatterBot
Machine learning, conversational dialog engine for creating chat bots
...The language independent design of ChatterBot allows it to be trained to speak any language. Additionally, the machine-learning nature of ChatterBot allows an agent instance to improve it’s own knowledge of possible responses as it interacts with humans and other sources of informative data. An untrained instance of ChatterBot starts off with no knowledge of how to communicate. Each time a user enters a statement, the library saves the text that they entered and the text that the statement was in response to. As ChatterBot receives more input the number of responses that it can reply increase. -
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KuzuDB
Embeddable property graph database management system
KuzuDB is a high-performance graph database optimized for analytical queries, built from the ground up with a columnar storage engine. It is designed to efficiently process large-scale graph workloads, making it ideal for data science, machine learning, and knowledge graph applications. -
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codebase-memory-mcp
High-performance code intelligence MCP server
codebase-memory-mcp is a high-performance code intelligence MCP server built for AI coding agents. It indexes codebases into a persistent knowledge graph so agents can understand architecture, symbols, call chains, routes, and cross-service relationships without reading every file repeatedly. The project uses tree-sitter AST analysis across 158 languages and adds Hybrid LSP type resolution for major languages like Python, TypeScript, JavaScript, Go, C#, Java, Rust, C, and C++. ... -
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ByteRover CLI
The portable memory layer for autonomous coding agents
ByteRover CLI is a portable memory layer for autonomous coding agents. It gives developers a way to store, organize, and reuse project knowledge across coding tools and sessions. The project centers on a context tree that can capture important information about a codebase, decisions, patterns, and instructions. It can run as an interactive command-line experience and connect to an LLM of the user’s choice. ByteRover is useful when agents need persistent context instead of starting from scratch every time they enter a project. ... -
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Agent Learning Hub
A curated AI Agent learning roadmap
Agent Learning Hub is a curated learning roadmap and resource collection for understanding AI agents. It is maintained as a central README-style knowledge hub rather than a software runtime or framework. The project organizes high-quality articles, official blogs, papers, open-source projects, engineering experience, and learning paths into a sequence that users can follow. It is especially useful for beginners and intermediate learners who want a structured entry point into the fast-moving agent ecosystem. ... -
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Writer Framework
No-code in the front, Python in the back. An open-source framework
...It follows a hybrid approach where user interfaces are created using a drag-and-drop editor while business logic is implemented in Python, allowing teams to balance speed and flexibility without sacrificing control. The framework is particularly focused on AI use cases, enabling developers to integrate large language models, knowledge graphs, and custom machine learning workflows into user-facing applications. Its architecture enforces a clear separation of concerns between frontend and backend, which improves maintainability and scalability as applications grow in complexity. The system is designed to support rapid prototyping, enabling developers to iterate on UI and backend logic independently and deploy changes quickly. -
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OpenSpace
OpenSpace: Make Your Agents: Smarter, Low-Cost, Self-Evolving
OpenSpace is a self-evolving agent framework designed to improve the performance, efficiency, and collaboration of AI agents through continuous learning and shared knowledge. It introduces a system where agents develop reusable “skills” based on real task execution, allowing them to improve over time without retraining underlying models. The platform emphasizes collective intelligence, enabling multiple agents to share learned behaviors and benefit from each other’s experiences. It also focuses on cost efficiency by reducing redundant computations and reusing successful workflows, significantly lowering token usage in repeated tasks. ... -
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pi-autoresearch
Autonomous experiment loop extension for pi
...Its architecture suggests a focus on autonomy, allowing it to run multi-step research pipelines that mimic human investigative processes. This makes it particularly useful for exploratory analysis, trend discovery, or generating structured knowledge from large information spaces. Overall, pi-autoresearch represents a step toward self-directed research agents capable of producing increasingly refined outputs over time. -
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Code-Graph-RAG
The ultimate RAG for your monorepo
Code-Graph-RAG is an advanced retrieval-augmented generation system designed specifically for understanding and interacting with large, multi-language codebases by transforming them into structured knowledge graphs. It uses Tree-sitter to parse source code into abstract syntax trees, extracting relationships between functions, classes, and modules to build a graph-based representation of the entire codebase. This structured approach enables more accurate and context-aware querying compared to traditional text-based search methods, allowing users to ask natural language questions about code structure and functionality. ... -
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Amurex
World's first AI meeting copilot
Amurex is an open-source AI-powered meeting copilot designed to act as an “invisible companion” that enhances productivity by automating meeting-related tasks and knowledge capture across professional workflows. It integrates directly into platforms such as Google Meet and Microsoft Teams, allowing it to operate in real time without disrupting the user’s existing environment. The system leverages advanced AI to generate live suggestions during meetings, helping participants respond more effectively and stay aligned with discussion goals. ... -
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RAGHub
A community-driven collection of RAG
...The repository is community-driven, meaning developers can contribute new tools, frameworks, or educational resources to keep the dRAGHub is an open-source directory and knowledge hub dedicated to organizing tools, frameworks, and research resources related to Retrieval-Augmented Generation systems. -
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MarkPDFDown
A high-quality PDF to Markdown tool based on large language model
...The project focuses on extracting text, formatting, and structural information from complex PDF documents and transforming that information into clean Markdown that preserves the original hierarchy of headings, paragraphs, tables, and lists. By producing Markdown rather than raw text, the tool makes it easier to integrate documents into knowledge bases, documentation systems, or language model pipelines that rely on structured input. The software is particularly useful for developers working with technical documents, academic papers, or reports that need to be indexed, summarized, or processed by downstream AI systems. -
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AI Engineering Academy
Mastering Applied AI, One Concept at a Time
AI-Engineering.academy is a community-driven educational repository that organizes practical knowledge and learning paths for applied AI engineering. The project aims to make complex AI concepts accessible by structuring them into progressive learning modules covering topics such as prompt engineering, retrieval-augmented generation, LLM deployment, and AI agents. Rather than focusing purely on theoretical explanations, the repository emphasizes hands-on understanding of how modern AI systems are designed, built, and deployed in real-world applications. ... -
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Kernel Memory
Research project. A Memory solution for users, teams, and applications
Kernel Memory is an open-source reference architecture developed by Microsoft to help developers build memory systems for AI applications powered by large language models. The project focuses on enabling applications to store, index, and retrieve information so that AI systems can incorporate external knowledge when generating responses. It supports scenarios such as document ingestion, semantic search, and retrieval-augmented generation, allowing language models to answer questions using contextual information from private or enterprise datasets. Kernel Memory can ingest documents in multiple formats, process them into embeddings, and store them in searchable indexes. ...
