by SolidLao · Codex Skill · ★ 52
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GenDB: An LLM-Powered Generative Query Engine Instance-optimized query execution code generation tailored to your specific data, workloads, and hardware. 2.8x faster than DuckDB and Umbra on TPC-H | 5.0x faster than DuckDB on real-world financial data Website GitHub Try the Interactive Demo, VLDB 2026 — explore GenDB's full pipeline with a guided audio walkthrough. See how six AI agents analyze data, design storage, plan execution, generate code, and optimize it step by step. Browse pre-computed results, write your own queries, or upload your own data. Input: database schema, SQL queries, data files, hardware specs, and user configurations (optimization targets, iteration budgets). Pipeline: five specialized LLM agents — Workload Analyzer, Storage/Index Designer, Query Planner, Code Generator, and Query Optimizer — each equipped with tools for file I/O, terminal access, and web search, collaborating through structured JSON. Output: optimized storage structures, indexes, and one standalone executable per query — all tailored to the specific data, workload, and hardware. Note: This project is under active development. The sta
| Stars | 52 |
| Forks | 3 |
| Language | C++ |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 59.3566388316271/100 |
| Open Issues | 1 |
| Last Updated | 2026-03-27 |
| Created | 2026-02-08 |
| Platforms | claude-code, codex |
| Est. Tokens | ~7294k |
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GenDB is GenDB, an LLM-Powered Generative Query Engine Built for the Future. It is categorized as a Codex Skill with 52 GitHub stars.
GenDB is primarily written in C++. It covers topics such as claude-code, codex, database.
You can find installation instructions and usage details in the GenDB GitHub repository at github.com/SolidLao/GenDB. The project has 52 stars and 3 forks, indicating an active community.
GenDB is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to GenDB on Agent Skills Hub include claude-code-open, MCP-PostgreSQL-Ops, deterministic-agent-control-protocol. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.