code-generation

A unified evaluation toolkit and leaderboard for rigorously assessing the scientific intelligence of large language and vision–language models across the full research workflow.

Roy: A lightweight, model-agnostic framework for crafting advanced multi-agent systems using large language models.

AskIt: Unified programming interface for programming with LLMs (GPT-3.5, GPT-4, Gemini, Claude, Cohere, Llama 2)

🦀 Open-source alternative to Claude Code, built from scratch in Rust. Agentic coding CLI — thinks, plans, and executes with any LLM. Compatible with Claude Code workflows.

Building an open-source alternative to v0 and Lovable.

Graph-based long-term memory skill for AI (LLM) coding agents — faster context, fewer tokens, safer refactors

VSCode coding companion for software teams 🦆 Turn your team insights into a portable plug-and-play context for code generation. Alternative to GitHub Copilot & OpenAI GPT powered by OSS LLMs (Phi 3, Llama 3, CodeQwen, Mistral, etc.), made with ❤️ using FastAPI & Ollama.

VS Code extension for managing, sharing, and installing AI primitives (Agents, Skills, Prompts, Instructions, MCP) collections for GitHub Copilot and other AI assistants

An 18 notebook course that isolates and measures each component of agentic loop engineering on real, industry standard software datasets.

A local-first, CLI-driven multi-agent AI software engineering workflow orchestrator with feed specs, PRDs, and guidelines to auto-generate implementation plans and code.

PyCrust is a CLI tool that converts Python code to Rust using OpenAI's GPT-3.5 language model for code generation. It provides an easy-to-use interface for converting Python code to Rust code, making it easier for Python developers to leverage Rust's performance benefits.

A curated list of vibe coding assistants, IDEs, tools and references for learning how to efficently collaborate with AI to write code. Best practices of prompt enginnering for developers. AI-powered tools for coding and UX/UI design. Our focus is on tools that allow for generating code or designs using natural language prompts.

Chain two LLMs — local or cloud: a Prompter that refines your idea, and a Coder that writes the code.

🔒 Privacy-first MCP server for Claude using PostgreSQL + Ollama. Local alternative to cloud-based code context with full data sovereignty. No API keys, no external calls, 100% local.

Kairos: An autonomous development supervisor powered by Context Engineering. It provides a living memory and a contextual constitution for your projects to prevent AI context loss.

Large Language Model in combination with Large Vision Model for the task of code generation given design sketch.

Local-first AI assistant — 9 specialized agents (code, web, debug, security…), 10M-token vector memory, multimodal (vision + local image generation), two-way voice (dictation + read-aloud), slash commands & codebase RAG, agentic VS Code extension, mobile relay via secure tunnel. 100% local with Ollama. Your data, your control.