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Code search MCP for Claude Code. Make entire codebase the context for any coding agent.
TriAttention — Efficient long reasoning with trigonometric KV cache compression. Enables OpenClaw local deployment on memory-constrained GPUs.
A CLI-based, flat-file issue tracker for humans and robots. 🤖
The open-source app everyone uses to manage agents at work
Beginner, advanced, expert level Rust training material
My Python scripts to make high-quality figures for publications in top AI conferences and journals.
SIMD-accelerated distances, dot products, matrix ops, geospatial & geometric kernels for 16 numeric types — from 6-bit floats to 64-bit complex — across x86, Arm, RISC-V, and WASM, with bindings fo…
A lightweight, lightning-fast, in-process vector database
Official implementation of Text2VectorSQL: Towards a Unified Interface for Vector Search and SQL Queries
JVector: the most advanced embedded vector search engine
Open-source implementation of AlphaEvolve
Browse, search, and revisit your AI coding sessions.
Continuous background code review database for agents, work faster and smarter with accountability for every line of generated code.
Various materials about Profile Guided Optimization and other similar stuff like AutoFDO, Bolt, etc.
LingoDB: A new analytical database system that blurs the lines between databases and compilers.
A retargetable MLIR-based machine learning compiler and runtime toolkit.
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…
Optimized Agentic and LLM Bulk Processing Over Your Data
cache_ext is a framework to customize Linux page cache eviction policies using BPF. Appeared in SOSP 2025.
cache_ext fork of Linux. Based on Linux v6.6.8.
NVIDIA Linux open GPU kernel module source
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
A low-latency, billion-scale, and updatable graph-based vector store on SSD.
Revealing the Unstable Foundations of eBPF-Based Kernel Extensions