Supports software work with AI-assisted coding, testing or application development.
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An AI-powered autonomous coding agent integrated directly into VS Code. opensource.
Zero-configuration MCP server that unifies multiple AI coding assistants (Claude Code, Cursor, Codex) through intelligent auto-discovery.
Supports software work with AI-assisted coding, testing or application development.
Supports software work with AI-assisted coding, testing or application development.
Supports software work with AI-assisted coding, testing or application development.
Supports software work with AI-assisted coding, testing or application development.
A repository holding the paper source, analysis notebook, and data generation and analysis scripts for the diginorm paper. It is forked from another repository and includes LaTeX sources, bibliography files, figures and a pipeline folder.
This is a curated gallery of interesting Jupyter Notebooks, organized by topic categories including introductory tutorials, programming and computer science, statistics and machine learning, data science, mathematics, physics, chemistry, biology, earth science, geo-spatial data, linguistics, and text mining.
Open-source project that supports software development with code generation, analysis, debugging, or documentation.
Open-source project that supports software development with code generation, analysis, debugging, or documentation.
AI Kernel Explorer is a lightweight tool that uses GPT-4o to generate summaries of Linux kernel source code while the codebase is explored. It addresses the difficulty of understanding a codebase of over 30 million lines. It is installed via pip or pipx and requires an OpenAI API key; options include a cache path and a model selection.
Open-source project that supports software development with code generation, analysis, debugging, or documentation.
automl-gs is a Python 3 AutoML module that takes an input CSV and a target field and generates a trained machine learning or deep learning model plus native Python code pipelines. It provides a zero code/model definition interface and performs random hyperparameter searches, reporting metrics for each trial in a CSV.
Awesome ADE is a curated GitHub list of open-source Agentic Development Environments, covering orchestrators, TUIs, tmux harnesses, sandboxes and the agents they run. It is maintained by KyroLabs and organized by packaging and stack layer.
A supplement to Copilot and Cursor - utilizes AI for batch processing of project codes.
Claude Engineer is an interactive command-line interface that uses Anthropic's Claude-3.5-Sonnet model to assist with software development tasks. The framework lets Claude generate and manage its own tools, expanding its capabilities through conversation. It is available both as a CLI and a modern web interface.
CodeGeeX is an open multilingual code generation model with 13 billion parameters, pre-trained on a code corpus of more than 20 programming languages. It supports multilingual code generation, crosslingual code translation and a VS Code extension, and the repository also releases the HumanEval-X benchmark.
CodeGen is an open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.
DataPup is an open-source, AI-assisted, cross-platform database client built with Electron and powered by LangChain for AI assistance. It currently supports ClickHouse and PostgreSQL, with MySQL and SQLite listed as coming soon. It is released under the MIT license.
DeepSeek Coder is a series of open code language models trained from scratch on 2T tokens, composed of 87% code and 13% natural language in English and Chinese. Models are offered in 1B, 5.7B, 6.7B and 33B sizes, pre-trained on project-level code corpora with a 16K window size and a fill-in-the-blank task for completion and infilling.
Dorothy is a free and open source desktop app for orchestrating Claude Code, Codex, Gemini, Grok and local agents. It runs multiple agents simultaneously, each in an isolated PTY terminal session, and includes a Super Agent that delegates tasks to other agents via MCP tools, plus Kanban task management and scheduled tasks.
E2B is an open-source, secure environment built with real-world tools for use with enterprise-grade AI agents. The project's GitHub repository includes documentation for installing the E2B SDK, obtaining an API key, and running sandboxed environments to execute commands. The repository accepts community contributions.
Open-source project that supports software development with code generation, analysis, debugging, or documentation.