Spec-driven development for AI coding assistants.

Fulling is an AI-powered Full-stack Engineer Agent. Built with Next.js, Claude Sonnet, shadcn/ui, and PostgreSQL. Generates 100% AI-written code for full-stack applications.

The AI coding agent built for the terminal.

📑 PageIndex: Document Index for Reasoning-based RAG

Enterprise-grade, commercial-friendly agentic workflow platform for building next-generation SuperAgents.

The Future of Data Engineering — A CLI SQL client for the modern data stack, enabling AI-native context engineering for data.

Official Implementation of Flash-Searcher: Fast and Effective Web Agents via DAG-Based Parallel Execution

"DeepCode: Open Agentic Coding (Paper2Code & Text2Web & Text2Backend)"

A blazing fast AI Gateway with integrated guardrails. Route to 200+ LLMs, 50+ AI Guardrails with 1 fast & friendly API.

GraphQA: Natural Language Graph Analysis Framework - Ask questions about any graph in natural language

Neovate Code is a code agent to enhance your development. You can use it to generate code, fix bugs, review code, add tests, and more. You can run it in interactive mode or headless mode.

FULL Augment Code, Claude Code, Cluely, CodeBuddy, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus Agent Tools, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Trayc…

基于大模型和 RAG 的智能问数系统。Text-to-SQL Generation via LLMs using RAG.

Distributed RL System for LLM Reasoning

开源的端到端产品级通用智能体

TradingAgents: Multi-Agents LLM Financial Trading Framework

告别AI提前终止烦恼，助力AI更加持久

🔥 🔥 🔥 Open Source Airtable Alternative

The official repository is hosted on https://gitlab.com/bramw/baserow. Baserow is an open source no-code database tool and Airtable alternative.

From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers

A mini, open-weights, version of our Proxy assistant.

Give Cursor Agent an AI Team and Advanced Skills

TIGER: Time-frequency Interleaved Gain Extraction and Reconstruction for Efficient Speech Separation

A Flexible Framework for Experiencing Cutting-edge LLM Inference Optimizations