Search Results for "build" - Page 70
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Showing 9228 open source projects for "build"
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Secure File Transfer for Windows with Cerberus by RedwoodCerberus supports unlimited users and connections on a single IP, with built-in encryption, 2FA, and a browser-based web client — all deployable in under 15 minutes with a 25-day free trial.
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Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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1
hematite
A simple Minecraft written in Rust with the Piston game engine
Hematite is an experimental open-source project that attempts to reimplement aspects of the Minecraft game engine using the Rust programming language. Developed within the Piston ecosystem, the project serves primarily as a technical experiment exploring how Rust can be used to build complex game systems such as rendering, world simulation, and client architecture. Hematite aims to replicate core elements of Minecraft’s mechanics while leveraging Rust’s safety guarantees and modern performance capabilities. The project also explores the possibility of building alternative server implementations or game engines compatible with Minecraft-style gameplay. ... -
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Minestom
1.21.11 Lightweight Minecraft server
Minestom is an open-source Minecraft server development framework that allows developers to build custom Minecraft server software from scratch without relying on Mojang’s original server code. Instead of functioning as a traditional server implementation, Minestom acts as a lightweight library that provides the core networking and gameplay infrastructure needed to create Minecraft server applications. Developers can use it to design custom game modes, experimental server architectures, or entirely new gameplay systems while maintaining compatibility with the Minecraft Java Edition client. ... -
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Google Research: Language
Shared repository for open-sourced projects from the Google AI Lang
...The repository functions as a collaborative hub where different research initiatives can publish their code, enabling the broader community to reproduce experiments and build upon published work. -
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Cog
Package and deploy machine learning models using Docker containers
...It simplifies the process of deploying models by automatically generating Docker images based on a simple configuration file, eliminating the need to manually write complex Dockerfiles. Developers can define the runtime environment, dependencies, and Python versions required for their models, allowing Cog to build a consistent container environment that follows best practices. Cog also resolves compatibility issues between frameworks and GPU libraries by automatically selecting compatible combinations of CUDA, cuDNN, and machine learning frameworks such as PyTorch or TensorFlow. Cog automatically generates a RESTful HTTP API for running predictions, enabling models to be accessed programmatically through a built-in prediction server. -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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Jina-Serve
Build multimodal AI applications with cloud-native stack
Jina Serve is an open-source framework designed for building, deploying, and scaling AI services and machine learning pipelines in production environments. The framework allows developers to create microservices that expose machine learning models through APIs that communicate using protocols such as HTTP, gRPC, and WebSockets. It is built with a cloud-native architecture that supports deployment on local machines, containerized environments, or large orchestration platforms such as... -
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KIS Open API
Korea Investment & Securities Open API Github
The open-trading-api repository from Korea Investment & Securities provides sample code and developer resources for interacting with the KIS Developers Open Trading API, which enables programmatic access to financial market data and automated trading functionality. The project is designed primarily for Python developers and AI automation environments that want to build investment applications, algorithmic trading systems, or financial analytics tools using the brokerage’s infrastructure. It includes example scripts that demonstrate how to authenticate with the service, retrieve financial data, and execute trading operations through REST and WebSocket interfaces. The repository organizes its examples into two main groups: code designed for direct user implementation and simplified examples intended for large language model agents or automation workflows. -
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Hephaestus
Semi-Structured Agentic Framework. Workflows build themselves
Hephaestus is an open-source semi-structured agentic framework designed to orchestrate multiple AI agents working together on complex tasks. Instead of relying entirely on predefined workflows, the framework allows agents to dynamically create tasks as they explore a problem space. Developers define high-level phases such as analysis, implementation, and testing, while agents generate specific subtasks within those phases. The system continuously monitors agent behavior and task progression,... -
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PeterCat
A conversational Q&A agent configuration system
PeterCat is an open-source conversational agent framework designed to create automated question-and-answer assistants for GitHub repositories and technical projects. The system allows developers to build AI-powered bots that understand project documentation, GitHub issues, and other repository content in order to answer questions from users or contributors. By simply providing the repository name or URL, the platform can automatically collect relevant project information and construct a knowledge base that the agent uses to respond to inquiries. ... -
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AgentDock
Build Anything with AI Agents
AgentDock is an open-source framework designed to simplify the development, orchestration, and deployment of AI agents capable of executing complex automated workflows. The platform provides a backend-first architecture that allows developers to create sophisticated agent systems while maintaining flexibility in model providers and infrastructure choices. It consists of two main components: a core framework that handles agent logic and orchestration, and a reference client application that... -
Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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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. ... -
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AI Engineering Transition Path
Research papers and blogs to transition to AI Engineering
...The project organizes resources that cover fundamental topics required to understand modern AI systems, including transformers, vector embeddings, tokenization, infrastructure design, and mixture-of-experts architectures. Instead of presenting isolated tutorials, the repository provides a structured pathway that guides engineers through the technical knowledge needed to build and deploy large language model systems. The materials include curated research papers, blog posts, and code examples that explain both theoretical foundations and practical implementation strategies. By consolidating these resources into a single repository, the project helps developers navigate the rapidly expanding AI ecosystem without needing to search through scattered materials. -
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Integuru v0
The first AI agent that builds permissionless integrations
...Based on this information, the system generates executable code that can replicate the original action programmatically. This approach allows developers to automate workflows and build integrations with services that do not provide official APIs or developer tools. The project is designed as a research platform for exploring AI-driven automation and integration generation. -
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LangBot
Production-grade platform for building agentic IM bots
LangBot is an open source platform designed to build and deploy AI-powered chatbots across multiple instant messaging ecosystems. The system allows developers to integrate large language models into messaging platforms so that bots can perform tasks, answer questions, and automate workflows directly within everyday communication tools. It supports numerous messaging services including Discord, Slack, Telegram, WeChat, and other enterprise communication systems, making it a flexible solution for both personal projects and organizational deployments. ... -
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WeClone
One-stop solution for creating your digital avatar from chat history
...It is intended primarily as an experimental exploration of digital personality modeling and conversational AI personalization. By processing large volumes of conversation data, WeClone can build a profile of an individual’s writing tone, vocabulary preferences, and conversational tendencies. Developers can use the resulting model to create chatbots that simulate a specific user’s communication patterns for testing or research purposes. Overall, WeClone explores the idea of digital identity replication through machine learning and conversational modeling. -
15
ReMe
Memory Management Kit for Agents
...The toolkit provides APIs to offload large, ephemeral outputs to external storage and reload them on demand, which reduces memory bloat and keeps active context concise. By combining embeddings, vector search, and summarization workflows, ReMe lets developers build agent systems that can recall and apply past knowledge in future reasoning tasks. The project fits into the broader agent-oriented programming ecosystem by supplying a standardized memory layer that integrates with agent frameworks. -
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Pathway AI Pipelines
Ready-to-run cloud templates for RAG
Pathway AI Pipelines is a collection of ready-to-deploy AI pipeline templates designed to help developers rapidly build production-grade retrieval-augmented generation and enterprise search applications. The project provides end-to-end examples that connect live data sources to LLM workflows, enabling applications to stay synchronized with continuously changing information. It supports numerous connectors including local files, Google Drive, SharePoint, Kafka, PostgreSQL, and real-time APIs, making it suitable for enterprise data environments. ... -
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12-Factor Agents
What are the principles we can use to build LLM-powered software
12-Factor Agents is a conceptual engineering guide that defines a set of principles for building reliable, scalable, and maintainable LLM-powered applications. Inspired by the original Twelve-Factor App methodology, the project reframes best practices specifically for agentic systems and AI software. It outlines patterns such as treating prompts as first-class assets, owning the context window, and converting natural language into structured tool calls. The repository emphasizes operational... -
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GPT Crawler
Crawl a site to generate knowledge files to create your own custom GPT
GPT Crawler is an open-source tool designed to automatically crawl websites and generate structured knowledge that can be used to build AI assistants and retrieval systems. It focuses on extracting high-quality textual content from web pages and preparing it in formats suitable for embedding, indexing, or fine-tuning workflows. The project is especially useful for teams that want to turn documentation sites or knowledge bases into conversational AI backends without building custom scrapers from scratch. ... -
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Oat UI
Ultra-lightweight, zero dependency, semantic HTML, CSS, JS UI library
Oat is an ultra-lightweight front-end UI library designed to automatically style semantic HTML using minimal CSS and JavaScript with zero external dependencies. The project focuses on simplicity and performance, allowing developers to create clean, modern interfaces without relying on heavy frameworks or complex build systems. Oat works by applying sensible default styling directly to standard HTML elements, meaning developers can achieve polished layouts with little to no custom classes. Its small footprint makes it especially attractive for static sites, documentation, prototypes, and low-overhead web applications. The library can be installed via npm, CDN, or direct download, making it flexible across different development workflows. ... -
20
Zvec
A lightweight, lightning-fast, in-process vector database
...Zvec excels at approximate nearest neighbor search and retrieval tasks that power features like semantic search, recommendation systems, and retrieval-augmented generation (RAG) setups. Its performance benchmarks show it achieving high queries-per-second and fast index build times compared to similar tools. Because it runs in-process, developers can embed it in native apps, microservices, or edge computing scenarios where traditional server-based vector databases might be overkill. -
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Cube Studio
Cube Studio open source cloud native one-stop machine learning
Cube Studio is an open-source, cloud-native end-to-end machine learning and AI platform designed to support the full lifecycle of AI development — from data preparation and interactive notebook coding to distributed training, model tuning, and deployment in production-ready environments. It provides a unified interface where teams can manage data sources, track datasets, and build pipelines using drag-and-drop workflow orchestration, making it accessible for both engineers and data scientists working at scale. The platform supports distributed training across multiple machines and GPUs, integrates tools for automated hyperparameter search and logging, and can serve models via inference services that include virtualized GPU support for efficient utilization. -
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DebugSwift
A toolkit to make debugging iOS applications easier
...Designed to operate within the iOS environment (iOS 14+ and Swift 6+), it includes network and WebSocket inspectors for HTTP requests, detailed performance metrics (CPU, memory, FPS), and mechanisms to detect memory leaks and main thread violations in real time. The toolkit also provides developers with crash analysis features, console log monitoring, device and build information displays, and customizable debugging panels, all of which make it easier to troubleshoot edge cases and unexpected behavior. Interface inspection tools like grid overlays, 3D view hierarchy exploration, and touch indicators help visualize UI layouts and interactions directly on the device, giving developers immediate context into how their app behaves. -
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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 extend core behaviors — such as search integration, data retrieval, workflow automation, or domain-specific tools — without rewriting the host system. ... -
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DeepWiki Open
AI-Powered Wiki Generator for GitHub/Gitlab/Bitbucket Repositories
DeepWiki Open is an open-source, AI-powered wiki generator that automatically creates fully navigable, richly structured wiki documentation for GitHub, GitLab, or Bitbucket repositories by combining code analysis, vector embeddings, retrieval-augmented generation (RAG), and visualization tools. Users can enter a repository URL and the system will clone the project, build semantic embeddings of its codebase, extract architecture and relationships, generate human-readable documentation, and produce visual diagrams to help explain complex code structure. DeepWiki’s output turns raw repositories into interactive, web-style wikis complete with navigable sections, diagrams, and contextual explanations, making it easier for developers and collaborators to understand unfamiliar code. ... -
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PocketFlow Tutorial Codebase Knowledge
Codebase to Tutorial
PocketFlow Tutorial Codebase Knowledge is a project that demonstrates how to build an AI agent capable of analyzing arbitrary codebases and generating beginner-friendly tutorials that explain how they work, turning complex source code into clear educational content. The repository builds on a lightweight 100-line LLM framework and uses natural language models to inspect repository structures, identify core abstractions, map dependencies, and articulate the reasoning behind code design and interactions. ...
