repository

A CUDA C++ project for training a tiny byte-level GPT quickly, with build, run, checkpoint, logging, and test instructions in the repo README.

A GitHub repository for a 7-node ESP32-S3 cluster that runs a small LLM using 1.58-bit BitNet-style quantization over an SPI daisy-chain.

A CLI and agent skill that checks whether tests actually exercise real behavior, with a TypeSafe API key flow, diff-based audits, and CI-friendly output.

A Claude Code plugin/repo that changes how instruction files are loaded, adding support for AGENTS.md alongside CLAUDE.md. The page explains the modes, configuration options, and hook behavior in enough detail to be useful for developers using Claude Code.

A protocol and toolkit for AI coding agents to hand off context, share work across sessions, and collaborate in real time across machines.

An open-source Redash fork that adds AI-assisted analytics features such as text-to-query, auto-generated visualizations, alert suggestions, and dashboard creation across several AI providers.

A proof-of-concept for coordinating multiple Claude Code chats through a shared append-only file, with an orchestrator/worker setup and task flow examples in the README.

AgentMachinist is a local-first, issue-to-reviewed-PR build pipeline for solo developers. It connects GitHub issues to supported harnesses like Claude Code, OpenCode, Pi, or Codex, with a human-approved spec step before implementation.

AetherGrid is a Python-based distributed compute orchestration project with API key auth, job lifecycle management, reconciliation, leases, and ADR-driven architecture notes. The snapshot shows a substantial repository with documentation, tests, Docker support, and detailed runtime and security decisions.

Open-source team skills for bringing shared coding standards, directives, and evals into agentic coding workflows like Claude Code and Codex.

A GitHub repository that turns untrusted source material into compact AI skills using evidence gates, validation steps, and audit output.

Bookshelf adds book quotes into Claude Code and Codex sessions between turns, with optional ambient delivery, on-demand quote commands, and local privacy-focused behavior.

A local Claude Code plugin and CLI for auditing, searching, and cleaning agent memory across repos. It scans saved memories for contradictions, stale facts, duplicates, and misfiled entries, with reversible changes and a localhost UI.

Local codebase indexer and MCP server for Claude Code that watches project files, builds a private index on-device, and serves relevant snippets to Claude and other MCP clients.

Code Airlock is a wrapper for running coding agents like Claude Code and Codex inside disposable microVMs, with changes committed to git for host-side review.

A plugin for coding agents that adds bounded plan-review-build loops, fresh-reviewer exit gates, and TDD-oriented workflows for Claude Code and Codex.

A plugin and MCP server for Claude Code and Codex that gives AI agents access to FactIQ’s real-time finance and economics data, read-only SQL, market data, and shareable charts or reports.

An open-source enforcement layer for AI coding agents that adds frozen specs, tamper-detected tests, independent verification, and hard-blocking gates so unverified work cannot pass.

Open-source, local-first money agent that finds waste, drafts cancellation or dispute actions, and only proceeds with user approval. It emphasizes consent, a tamper-evident audit trail, and bring-your-own-key operation.

A bilingual repository that guides an AI agent through a source-grounded academic writing workflow, from raw notes to a finished study, with human oversight and provenance tracking.

Open-source multi-agent protocol for AI research agents. It pairs a tool-using Scientist with a question-only advisor that can only ask questions and approve plans, and the README includes quick-start setup plus notes on reproducing results on MLE-bench/Kaggle tasks.

Peers is a Python-based multi-agent coding substrate that coordinates Claude Code, Codex, and other CLIs to work together on coding, research, debugging, and repo audits with measurable convergence checks.

Agentize is a Claude Code-oriented framework for assessing and improving how ready a codebase is for AI agents. It includes two maturity models, runnable assessment and improvement commands, and installable skills for project or personal use.

UltraCompress is a Python-based compression tool for large language models. The repo describes lossless 5-bit transformer compression, verification via SHA-256, a CLI on PyPI, and published model packs on Hugging Face.