Search Results for "no code" - Page 24
Sort By:
8533 projects for "no code" with 1 filter applied:
-
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
-
Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
-
1
Feynman
The open source AI research agent
Feynman is a command-line AI research agent designed to automate complex research workflows by orchestrating multiple specialized agents that collaborate to gather, analyze, and synthesize information into structured outputs. It operates as a “Claude Code for research,” allowing users to input natural language queries and receive fully developed, source-grounded research briefs, literature reviews, or experimental analyses. The system is built around a multi-agent architecture that includes roles such as researcher, reviewer, writer, and verifier, each responsible for a specific stage of the research pipeline. ... -
2
baoyu-skills
Skills shared by Baoyu for improving daily work efficiency with Claude
baoyu-skills is a comprehensive plugin-based toolkit designed to enhance productivity within AI-assisted development environments, particularly Claude Code, by providing a wide range of modular “skills” for content generation, automation, and data processing. The project organizes its functionality into categories such as content creation, AI generation, and utility tools, enabling users to extend their workflows through reusable components. Each skill is implemented as a structured module with its own configuration, scripts, and execution logic, allowing for flexible customization and extension. ... -
3
Trae Agent
LLM-based agent for general purpose software engineering tasks
...“refactor this module,” “write a unit test,” “generate a REST API skeleton”), and then orchestrates tool-based workflows — such as file editing, shell/batch commands, code generation, code formatting or refactoring — to carry out complex engineering tasks. Under the hood, Trae Agent supports multiple LLM backends (so you can choose your preferred model provider), and comes with a modular architecture that makes it easy to study, extend, or modify. Because of its transparent, research-friendly design and detailed logging (trajectory recording), it is positioned not just as a productivity tool but also as a platform for researchers to explore, analyze, or extend AI-based code automation strategies. -
4
JetCache
JetCache is a Java cache framework
...The annotations in JetCache support native TTL, two-level caching, and automatically refresh in distributed environments, also you can manipulate Cache instances by your code. Currently, there are four implementations: RedisCache, TairCache(not open source on github), CaffeineCache (in memory) and a simple LinkedHashMapCache (in memory). -
Demo Series - Small Business Backup By VeeamWatch this on-demand demo series and learn how to protect your Microsoft 365 data with clear, simple, actionable steps that are easy to implement for businesses of all sizes.
-
5
dRehmFlight
Teensy/Arduino flight controller & stabilization for small-scale VTOL
...Because the code is easy to edit in the Arduino ecosystem, experimental aircraft behaviors can be added quickly. The project is intended mainly for education and rapid prototyping rather than commercial flight-control deployment. -
6
html-video
Programmatic video for coding agents — HTML to video on your laptop
html-video is part of the nexu-io agent-native design ecosystem for creating motion graphics and video from web technologies. It is connected to a workflow where agents write HTML, CSS, and animation code that can be rendered into deterministic video output. The project is useful for creators and developers who want programmable video generation instead of editing everything manually in a timeline. It fits naturally with local AI coding agents, since the visual output is represented as code that can be inspected, changed, and regenerated. ... -
7
Companion notebooks for Deep Learning
Jupyter notebooks for the code samples of the book
...The project covers a wide range of topics, including neural networks, computer vision, natural language processing, and sequence modeling. Each notebook is structured to combine theoretical explanations with executable code, allowing users to experiment and learn interactively. The material is designed to be accessible while still covering advanced topics, making it suitable for both beginners and intermediate practitioners. It leverages modern libraries and frameworks to demonstrate real-world applications of deep learning techniques. The notebooks also emphasize best practices in model training, evaluation, and deployment. ... -
8
AI Agent Deep Dive
AI Agent Source Code Deep Research Report
...It explores how agents interact with environments, execute tasks, and maintain context over time, highlighting both strengths and limitations of current approaches. The repository likely includes diagrams, annotated code samples, and conceptual walkthroughs that mirror real production systems. -
9
Colab-MCP
An MCP server for interacting with Google Colab
Colab-MCP is an open-source Model Context Protocol server developed by Google that enables AI agents to directly interact with and control Google Colab environments programmatically, transforming Colab into a fully automated, agent-accessible workspace. Instead of relying on manual notebook usage, the system allows MCP-compatible agents to execute code, manage files, install dependencies, and orchestrate entire development workflows within Colab’s cloud infrastructure. This approach bridges the gap between local AI agents and remote high-performance compute environments, allowing users to offload heavy workloads such as machine learning training, data analysis, and dependency-heavy tasks to Colab’s GPU and TPU resources. ... -
Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
-
10
Flutter Workmanager
A Flutter plugin which allows you to execute code in the background
Flutter Workmanager is an open-source Flutter plugin that enables developers to execute Dart code in the background on both Android and iOS devices, even when the application is not actively running. It acts as a wrapper around native background task systems such as Android’s WorkManager and iOS background execution APIs, providing a unified interface for scheduling and managing tasks across platforms. The plugin is designed to handle asynchronous operations that need to run independently of the app’s lifecycle, such as syncing data, uploading files, fetching notifications, or performing maintenance tasks. ... -
11
qxresearch-event-1
Python hands on tutorial with 50+ Python Application
...Many of the examples are accompanied by video explanations that guide learners through the code and demonstrate how the programs work in practice. -
12
LEANN
Local RAG engine for private multimodal knowledge search on devices
...By recomputing embeddings during queries and using compact graph-based indexing structures, LEANN can maintain high search accuracy while minimizing disk usage. It aims to act as a unified personal knowledge layer that connects different types of data such as documents, code, images, and other local files into a searchable context for language models. -
13
Kodezi Chronos
Kodezi Chronos is a debugging-first language model
Kodezi Chronos is a research project focused on developing a specialized language model designed specifically for debugging software and understanding large code repositories. Unlike general-purpose language models that focus primarily on code generation, Chronos is built to diagnose and repair bugs by analyzing complex relationships across files within a codebase. The project introduces architectural techniques such as Adaptive Graph-Guided Retrieval, which allows the system to navigate large repositories and retrieve relevant debugging information from multiple sources. ... -
14
CVPR 2026
Collection of CVPR 2026 Papers and Open Source Projects
CVPR2026-Papers-with-Code is a community-maintained repository that collects research papers and corresponding open-source implementations from the CVPR 2026 conference and related computer vision research. The repository acts as a continuously updated catalog of cutting-edge research across a wide range of topics including computer vision, multimodal AI, generative models, diffusion systems, autonomous driving, medical imaging, and remote sensing. -
15
indie-hacker-tools-plus
Here comes a selection of technology stacks and tool repositories
...Instead of focusing on a single technology, the repository organizes many tools across different categories so developers can quickly identify solutions for building and scaling their projects. It also includes code examples and practical guidance that help developers move from an idea to a working product more efficiently. The collection prioritizes tools that are widely used, cost-effective, and validated by the developer community. By aggregating these resources in a single location, the project reduces the time required to research and select technologies for new products. -
16
Integuru v0
The first AI agent that builds permissionless integrations
...Developers capture browser requests and authentication data, which the agent then uses to infer the structure of the platform’s internal API endpoints. 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. -
17
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. By crawling code files, extracting higher-level patterns, and using large language models to narrate explanations, the system aims to help developers — especially those new to a codebase — understand unfamiliar projects without manual deep reading. ... -
18
SERA CLI
A tool to use the Ai2 Open Coding Agents Soft-Verified Agents
SERA CLI is a command-line tool created by AllenAI to enable developers to interact with the SERA (Soft-Verified Efficient Repository Agents) model family using Claude Code as the execution front end. It provides a convenient interface for deploying, testing, and using SERA models without needing to write scaffold code from scratch, acting as both a proxy and utility wrapper to simplify workflows that involve large agent models. Through sera-cli, users can connect to local or cloud-hosted SERA deployments, including via Modal for quick GPU provisioning and model caching, which helps accelerate experiments. ... -
19
nanocode
Minimal Claude Code alternative. Single Python file, zero dependencies
nanocode is a minimalist coding agent implementation designed as a compact alternative to Claude Code, packaged in a single Python file with no external dependencies and totaling around 250 lines of code. It implements a full agentic loop where the model can reason, decide when to use tools, execute those tools, and iterate until producing a final answer, making it useful for simple AI-assisted coding workflows. It includes a set of integrated tools such as read, write, edit, glob, grep, and bash that let the agent interact with the file system and shell commands directly from the terminal, and it keeps a conversation history with colored terminal output for readability. ... -
20
Proton Web Clients
Monorepo hosting the proton web clients
Proton Web Clients is a monorepo hosting the web applications for Proton’s suite of privacy-focused services, including the core Proton Mail webmail interface and related web apps like Proton Calendar, Proton Drive, Proton Account, Proton VPN, Proton Pass, and other connected tools. It consolidates all web client code, shared modules, dependencies, and development tooling into a single repository, enabling unified maintenance, consistency of design patterns, and efficient evolution of Proton’s online interfaces. These web clients run entirely in the browser, letting users securely interact with their email, calendars, files, and other services without needing native software installed, and benefiting from end-to-end encryption where applicable. ... -
21
rust-by-practice
Challenging examples, exercises and projects
...The repository aggregates explanations, example code, and interactive practice so that learners build both conceptual understanding and muscle memory writing idiomatic Rust. It’s especially valuable for developers transitioning from other languages who want to truly grok Rust’s unique safety model and performance mindset, because the exercises force you to confront common pitfalls and solutions firsthand. -
22
Kilo
A text editor in less than 1000 LOC with syntax highlight and search
Kilo is a minimalistic terminal text editor written in C, famous for fitting its full implementation into fewer than 1,000 lines of code in a single source file. It was created by Salvatore Sanfilippo (antirez, also known for Redis) as an exercise in writing a small, self-contained editor that others can study and extend. Despite its tiny size, Kilo supports core editor features like opening and saving files, incremental search, and basic syntax highlighting. It deliberately avoids external dependencies, not even using curses; instead it talks directly to the terminal using VT100 escape sequences, making it portable to most Unix-like systems with a compatible terminal. ... -
23
Flox
Developer environments you can take with you
...Instead of snowflake machines, teams define environments that layer or replace dependencies exactly where needed, then activate the same environment locally, in CI, or on production hosts. The GitHub repo and docs present a developer-first UX, plus integrations such as a VS Code extension that makes activating and working within Flox environments seamless. The ecosystem includes CI building blocks—for example, a CircleCI Orb—to install and activate environments as part of builds and tests. Flox’s messaging focuses on faster onboarding and “time-to-activation,” reducing friction for new contributors and multi-repo organizations. ... -
24
CodeWorld
Educational computer programming environment using Haskell
CodeWorld is an educational programming environment that uses a Haskell-inspired language to teach computational thinking through graphics and interactive animation. The web-based IDE provides immediate visual feedback: students write code that draws shapes, composes pictures, and responds to events to build simple games and simulations. Its API emphasizes mathematics and geometry rather than low-level UI details, making it approachable for classrooms and self-learners. Projects run in the browser, leveraging a compiler pipeline that turns the high-level code into JavaScript so no installation is required. ... -
25
Swift Guide
Swift Featured Projects in brain Mapping
...It covers all major language aspects: syntax, control flow, functions, closures, generics, protocols, extensions, memory management, concurrency, and the standard library. Each topic typically includes clear explanations, annotated code snippets, and tips for best practices, helping readers understand both how features work and how to use them idiomatically. Over time, the guide has evolved alongside Swift itself, with updates to reflect new language releases, deprecations, and shifting patterns. It also collects references to additional resources, external libraries, and community articles, making it a kind of curated gateway. ...
