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Rust allocator using jemalloc as a backend

Velocity through clarity

Working repository for common AI Card standard

RFC3161 Timestamp Authority

A 14 day experiment to clone Slack with Claude Code

Trill is a single-node query processor for temporal or streaming data.

Bf-Tree: A Modern Read-Write-Optimized Concurrent Larger-Than-Memory Range Index

A security-focused library OS supporting kernel- and user-mode execution

Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

L7 data-layer proxy

Rust derive-based argument parsing optimized for code size

Zerocopy makes zero-cost memory manipulation effortless. We write `unsafe` so you don’t have to.

Oxidizer is a platform for Rust service development which bridges the gaps in the crate ecosystem to deliver a turn-key solution to enable the efficient creation of high-scale high-availability and…

DNS-AID core library - IETF draft reference implementation for DNS-based Agent Identification and Discovery

Bf-Tree is a modern read-write-optimized concurrent larger-than-memory range index in Rust from MS Research.

Distributed Announce and Discovery of Multi-Agentic-Systems

Extremely fast non-cryptographic hash algorithm

An Agent Name Service (ANS) registry, based on https://datatracker.ietf.org/doc/html/draft-narajala-ans-00

Scan MCP servers for potential threats & security findings.

Moved to https://codeberg.org/DNS-OARC/dnsperf

A Root DNS System for LLM Agent Service Discovery

This sample app shows you how you can create a custom app for sports content that includes changing the theming and integrating your content catalog and services.

Making eBPF programming easier via build env and examples

TC, XDP, KProbe and CGroup eBPF based simple Ethernet interface traffic monitor and reporting tool

Represent large sets and maps compactly with finite state transducers.

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …