Stars
ktx is an executable context layer for data and analytics agents 🐙 Allow Claude Code, Codex, or other AI agents to query data accurately and with full context of your company
The open-source managed agents platform. Turn coding agents into real teammates — assign tasks, track progress, compound skills.
Open source Ghostty-based macOS terminal with vertical tabs and notifications. Built for AI coding agents and programmability.
Enhanced LanceDB memory plugin for OpenClaw — Hybrid Retrieval (Vector + BM25), Cross-Encoder Rerank, Multi-Scope Isolation, Management CLI
Rust/Wasm-powered SQL transpiler for more than 30 SQL dialects
Specification and documentation for Agent Skills
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflo…
A lightweight, high-performance virtualization setup using Firecracker microVMs on Apple Silicon MacBooks via Lima
Fastest library to load data from DB to DataFrames in Rust and Python
A CLI inspector for the Model Context Protocol
The official Python SDK for Model Context Protocol servers and clients
Official electron build of draw.io
A high-throughput and memory-efficient inference and serving engine for LLMs
Google Cloud Client Libraries for Rust.
Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, a…
An extensible, state-of-the-art framework for columnar compression, and the fastest FOSS columnar file format. Formerly at @spiraldb, now an Incubation Stage project at LFAI&Data, part of the Linux…
Empowering everyone to build reliable and efficient software.
Efficient Triton Kernels for LLM Training
A cargo subcommand for cleaning up unused build files generated by Cargo
Monte Carlo simulation of the NBA season, leveraging dbt, duckdb and evidence.dev
A course of building an LSM-Tree storage engine (database) in a week.
This crate provides custom de/serialization helpers to use in combination with serde's `with`-annotation and with the improved `serde_as`-annotation.