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Lifecycle-Aware Memory for long-horizon LLM agents — 66.05% on PaperBench, 94.66% on SurveyBench, 10 peer-reviewed acceptances at FSE/ICML/TOSEM/AEI/ICoGB
Build smaller, faster, and more secure desktop and mobile applications with a web frontend.
Production-grade engineering skills for AI coding agents.
💫 Toolkit to help you get started with Spec-Driven Development
A vector index built on TurboQuant, written in Rust with Python bindings
PDF Parser for AI-ready data. Automate PDF accessibility. Open-source.
A 7-layer memory operating system for Hermes Agent — persistent memory with Qdrant, structured facts, fabric recall, auto-curated wiki, and surgical context injection. Runs locally, any LLM provider.
A collection of Claude skills for self-learners. Your AI becomes more than a tutor — it builds genuine understanding and teaches you how to think.
A high-legibility programming font engineered to minimize cognitive load.
Codebase intelligence for AI and humans: code health scores, auto-generated docs, git analytics, dead code detection, and architectural decisions via MCP.
A skill that teaches LLM agents how to use rope for python codebase refactors
Open-source, community-driven agent harness
The Zero-Dependency, Sub-Millisecond AI Memory System for Hermes Agents and Everyone Else!
A modular, agile, and scalable software architecture pattern Whitepaper for modern products.
Build desktop + mobile apps with Zig and web UI
CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies
A Simple and Universal Swarm Intelligence Engine, Predicting Anything. 简洁通用的群体智能引擎,预测万物
Build a modern LLM from scratch. Every line commented. Explained like we are five.
Desktop app to generate 3D models from images using local AI — runs entirely on your GPU
Fast and Accurate Code Search for Agents. Uses ~98% fewer tokens than grep+read
💥 Blazing fast terminal file manager written in Rust, based on async I/O.
Pretty fancy and modern terminal file manager
Manage your dotfiles across multiple diverse machines, securely.
[arXiv 2019] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis
Pythonic task management & command execution.
Collection of step-by-step playbooks for setting up AI/ML workloads on NVIDIA DGX Spark devices with Blackwell architecture.