Seeknal
Summary
Seeknal is a command-line interface designed to streamline data and ML pipelines while enabling natural-language queries.
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Hmbown/DeepSeek-TUI
A terminal-based user interface tool that acts as a coding agent for DeepSeek AI models.
@wsl8297: For those who usually use DeepSeek for coding, check out DeepSeek-Code-Whale. GitHub: https://github.com/usewhale/DeepSeek-Code-Whale... Open-source terminal AI coding agent, specialized...
DeepSeek-Code-Whale is an open-source terminal AI coding agent, specifically optimized for DeepSeek models, supporting MCP tools, Skills extensions, prefix caching optimization (90% cache hit rate) and 1M context window, aimed at reducing AI coding costs and providing efficient command-line workflows.
SANE Schema-aware Natural-language Evaluation of Biological Data
SANE is a novel schema-aware evaluation paradigm for natural-language (text-to-SQL) querying of biological/pharmacological datasets, enabling automatic benchmark generation tied to real experimental schemas. The study shows that few-shot LLMs with structured prompting can achieve accurate SQL generation without fine-tuning, with most failures stemming from ambiguous inputs rather than incorrect query generation.
Show HN: Semble – Code search for agents that uses 98% fewer tokens than grep
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@Trtd6Trtd: https://github.com/MinishLab/semble… High-speed code search library specialized for AI Compared to grep + reading, it s…
Semble 是一个面向 AI 代理的高效代码搜索库,使用模型如 Model2Vec 或 BM25 实现快速索引和检索,比 grep+read 节省约 98% 的 token,支持 MCP 服务器和 CLI 集成。