Search Results for "auto code generation" - Page 20
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Showing 2016 open source projects for "auto code generation"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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OllamaSharp
The easiest way to use Ollama in .NET
OllamaSharp is an open-source .NET library that provides strongly typed bindings for interacting with the Ollama API, making it easier for developers to integrate local large language models into C# and .NET applications. The project acts as a wrapper around the Ollama API, exposing all endpoints through asynchronous methods that allow developers to perform tasks such as generating text, creating embeddings, and managing models. It supports both local and remote Ollama instances, enabling... -
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Sandbox Agent
Run Coding Agents in Sandboxes
Sandbox Agent by Rivet is an experimental framework for running AI agents in controlled, isolated environments where they can safely execute code, interact with tools, and perform autonomous tasks without risking system integrity. It is designed to provide a secure sandbox that allows agents to test actions, manipulate files, and run commands while enforcing strict boundaries and monitoring capabilities. The project focuses on enabling more reliable and auditable agent behavior by separating execution from the host environment, which is especially important for applications involving automation, code generation, or system-level operations. ... -
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Yii 2
The Fast, Secure and Professional PHP Framework
...Has reasonable defaults. Yii gives you the maximum functionality by adding the least possible overhead. Sane defaults and built-in tools helps you write solid and secure code. Write more code in less time with simple, yet powerful APIs and code generation. It is fast, secure and efficient and works right out of the box pre-configured with reasonable defaults. The framework is easy to adjust to meet your needs, because Yii has been designed to be flexible. A Definitive Guide and a Class Reference cover every detail of the framework. ... -
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Cap'n Proto
Serialization/RPC system - core tools and C++ library
Cap’n Proto is a high-performance serialization and RPC system with core tools and a C++ library. It is designed as a binary data interchange format that can replace JSON, Protocol Buffers, or similar schema-based formats in performance-sensitive systems. The project uses schemas to define structured data and interfaces, then generates code for working with those messages efficiently. Its RPC model is capability-based, which makes it suitable for distributed systems that need object-style... -
$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.
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effective-html
Agent skill for elegant and simple html plans, architecture diagrams
effective-html is an agent skill package for generating polished, self-contained HTML visual artifacts. It focuses on pragmatic outputs such as plans, architecture diagrams, system diagrams, and general-purpose HTML pages. The repository includes separate skills for standard HTML artifacts, full-screen HTML diagrams, and HTML plan pages. It is designed to work with agent tooling such as Skills, Claude Code plugins, and Codex plugins. The skill emphasizes strong visual structure, high-quality... -
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open-slide
A slide framework built for agents
open-slide is an open-source presentation and slide generation platform designed to simplify the creation of visually structured slide decks through programmable and collaborative workflows. The project emphasizes flexibility, allowing users to build presentations using markdown, code-driven layouts, or modular content systems instead of relying solely on traditional slide editors. It supports developer-friendly workflows where presentations can be version-controlled, customized, and integrated into automated documentation or educational pipelines. ... -
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nanoGPT
The simplest, fastest repository for training/finetuning models
NanoGPT is a minimalistic yet powerful reimplementation of GPT-style transformers created by Andrej Karpathy for educational and research use. It distills the GPT architecture into a few hundred lines of Python code, making it far easier to understand than large, production-scale implementations. The repo is organized with a training pipeline (dataset preprocessing, model definition, optimizer, training loop) and inference script so you can train a small GPT on text datasets like Shakespeare... -
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DeepSeek-V3.2-Exp
An experimental version of DeepSeek model
...In public evaluations across a variety of reasoning, code, and question-answering benchmarks (e.g. MMLU, LiveCodeBench, AIME, Codeforces, etc.), V3.2-Exp shows performance very close to or in some cases matching that of V3.1-Terminus. The repository includes tools and kernels to support the new sparse architecture—for instance, CUDA kernels, logit indexers, and open-source modules like FlashMLA and DeepGEMM are invoked for performance. -
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Pothos GraphQL
Pothos GraphQL is library for creating GraphQL schemas in typescript
...Pothos is the most type-safe way to build GraphQL schemas in typescript, and by leveraging type inference and typescript's powerful type system Pothos requires very few manual type definitions and no code generation. Pothos has a unique and powerful plugin system that makes every plugin feel like its features are built into the core library. Plugins can extend almost any part of the API by adding new options or methods that can take full advantage of the Pothos type system. Pothos was built from the start to leverage typescript for best-in-class type-safety. ... -
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Prompt Poet
Streamlines and simplifies prompt design for both developers
Prompt Poet is an open-source framework designed to simplify the creation, organization, and maintenance of prompts for large language model applications. The project focuses on transforming prompt engineering into a structured design process rather than ad-hoc string manipulation within application code. It allows developers and non-technical users to build prompts using templated configurations based on YAML and Jinja2, which makes prompts easier to compose, reuse, and modify across... -
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Sage Chat
Chat with any codebase in under two minutes | Fully local
...The tool functions similarly to an intelligent research agent that can analyze a repository and answer questions about how the software works. Instead of focusing solely on code generation, Sage emphasizes code comprehension, system architecture analysis, and integration guidance. Developers can ask natural language questions about a project, and the system responds with explanations supported by references to the relevant code, documentation, or external technical resources. The project aims to act as a contextual knowledge layer for software teams by combining language models with repository indexing and documentation retrieval. ... -
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Briefer
Dashboards and notebooks in a single place
Briefer is an open-source collaborative data platform that brings notebooks, dashboards, and interactive data apps into a unified workspace that combines the flexibility of code with the simplicity of visual exploration. It’s designed so technical users can write Markdown, SQL, and Python side by side for data analysis, visualization, and reporting, while non-technical viewers can interact with results through inputs, dropdowns, and date pickers without writing any code. Users work in a... -
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Agent Stack
Deploy and share agents with open infrastructure
Agent Stack is an open infrastructure platform designed to take AI agents from prototype to production, no matter how they were built. It includes a runtime environment, multi-tenant web UI, catalog of agents, and deployment flow that seeks to remove vendor lock-in and provide greater autonomy. Under the hood it’s built on the “Agent2Agent” (A2A) protocol, enabling interoperability between different agent ecosystems, runtime services, and frameworks. The platform supports agents built in... -
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Lyricist
Missing I18N/L10N (internationalization/localization) multiplatform
Jetpack Compose greatly improved the way we build UIs on Android, but not how we interact with strings. stringResource() works well, but doesn't benefit from the idiomatic Kotlin like Compose. Lyricist tries to make working with strings as powerful as building UIs with Compose, i.e., working with parameterized string is now typesafe, use of when expression to work with plurals with more flexibility, and even load/update the strings dynamically via an API. -
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Hexagon
Hexagon is a microservices toolkit written in Kotlin
Hexagon is a microservices toolkit written in Kotlin. Its purpose is to ease the building of server applications (Web applications or APIs) that run inside a cloud platform. The Hexagon Toolkit provides several libraries to build server applications. These libraries provide single standalone features and are referred to as "Ports". -
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asap
A modern cmake starter project for C++ with a complete build lifecycle
A modern cmake starter project for C++ with a complete build lifecycle, testing, dependency management, etc. Portable across Linux, OS X and Windows. Have you ever found yourself spending countless hours trying to figure out how to start a professional C++ project with unit tests, a robust dev workflow, change logs, code coverage, linting, formatting...? The C++ ecosystem is getting better but is still very far away from other ecosystems such as JavaScript, or even Rust. It's certainly easy... -
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Eru
Eru, a simple, stateless, flexible, production-ready orchestrator
...The Core use for resource allocation and managing resources' lifetime. After we implemented bootstrap in eru, now you can build and deploy eru with cli tool. Make sure you can clone code. After the fresh image was named and tagged, it will be auto pushed to the remote registry which was defined in config file. -
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Formik
Build forms in React
Formik is the world's most popular open-source form library for React and React Native. Formik takes care of the repetitive and annoying stuff, keeping track of values/errors/visited fields, orchestrating validation, and handling submission, so you don't have to. This means you spend less time wiring up state and change handlers and more time focusing on your business logic. No fancy subscriptions or observables under the hood, just plain React state and props. By staying within the core... -
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autoresearch for AMD
AI agents running research on single-GPU nanochat training
autoresearch for AMD is a framework for autonomous scientific experimentation in machine learning, enabling AI agents to iteratively improve models through a continuous loop of hypothesis generation, experimentation, and evaluation. The system is built around a minimal structure that includes a data preparation module, a training script that can be modified, and a program specification that guides the agent’s decision-making process. During each iteration, the agent edits the training code, runs an experiment within a fixed time budget, evaluates performance metrics, and decides whether to retain or discard the changes. ... -
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Groq Python
The official Python Library for the Groq API
Groq Python is the official Python SDK for the Groq REST API, giving Python developers straightforward access to Groq’s LLM, chat, audio, and other AI services. Through this library, you can call Groq’s models from Python code — for example to request chat completions, code generation, transcription, or any supported endpoint — using idiomatic Python syntax. The SDK handles authentication (via environment variable or parameter), defines proper type-safe request/response data types, and supports both synchronous and asynchronous usage patterns depending on your application needs. ... -
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WhisperSpeech
An Open Source text-to-speech system built by inverting Whisper
WhisperSpeech is an open-source text-to-speech system created by “inverting” OpenAI’s Whisper, reusing its strengths as a semantic audio model to generate speech instead of only transcribing it. The project aims to be for speech what Stable Diffusion is for images: powerful, hackable, and safe for commercial use, with code under Apache-2.0/MIT and models trained only on properly licensed data. Its architecture follows a token-based, multi-stage pipeline inspired by AudioLM and SPEAR-TTS:... -
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TypeAgent Python
Structured RAG: ingest, index, query
...This design allows the system to combine the flexibility of language models with the reliability of traditional programming logic. The repository is intended primarily as a research prototype and sample code rather than a production-ready framework, allowing developers to experiment with building AI agents that maintain structured memory and perform tasks through defined actions. -
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prek
Better `pre-commit`, re-engineered in Rust
...Because it ships as a single binary with no runtime dependencies and is already being adopted in large projects (like CPython, Apache Airflow, and FastAPI), prek is increasingly seen as a next-generation tool for developers who value performance, simplicity, and robust git hook automation. -
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TONL
TONL (Token-Optimized Notation Language)
...It provides a serialization format that significantly reduces token usage compared with traditional JSON, which can result in lower costs and more efficient prompt size utilization in LLM-driven systems. TONL isn’t just a format — it includes a rich API for querying, indexing, modifying, and streaming data, along with tools for schema validation and TypeScript code generation. The platform comes with a complete command-line interface that supports interactive dashboards and cross-platform usage in browsers and server environments, and its high test coverage gives developers confidence in stability. -
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QuantDinger
AI-driven, local-first quantitative trading platform for research
QuantDinger is a local-first, open-source quantitative trading platform designed to bring AI-assisted analysis, strategy development, backtesting, and live execution into a self-hosted workspace where data and API credentials remain under your control. Unlike cloud-locked quant services, it lets users run the entire trading workflow on their own infrastructure using Docker, with a PostgreSQL database backend, a Python backend API, and a web frontend UI that supports visualization and...
