Turn any repo into an agent-ready workspace for Claude Code, Codex, Cursor, and other coding agents.

A practical framework for AI-Assisted Research in Mathematics and Machine Learning

Native-session control plane for Codex, Claude Code, OpenCode, OMP and PI. Run, resume and hand off coding sessions across your machines.

A lightweight agent harness you bolt onto your app so an LLM can operate it — safely, and cheaply.

One prompt. Full delivery.

a recursive self-improving harness designed to help your agents (and future iterations of those agents) succeed on any task

Local-first coordination for human and agent work: durable work, decisions, dispatches, evidence, and prompt-first methods, powered by TypeScript and Bun.

One config to rule all your AI agents: portable (every project, every session), effective (curated writing, routing, skills), and safer (destructive-command guard).

A structured 3-agent AI dev team — Architect, Builder, Reviewer. Built from production use. Token-optimized. Works with Claude Code, VS Code, Cursor, and any AI that supports context files.

The job search that runs on your machine. AI job application framework built on Claude Code: evaluate postings, tailor CVs, write cover letters, prep interviews. Fork it and own it.

Practical patterns, starters & CLI tools for loop engineering with AI coding agents. Design systems that prompt and orchestrate agents (inspired by Addy Osmani and Boris Cherny). Includes loop-audit, loop-init, loop-cost.

MCP Playbooks for AI agents

A disciplined methodology for AI-assisted software development. Covers architectural constraints, validation hooks, session governance, and PAG (Pattern Abstract Grammar) for structured AI collaboration. Copy claude-setup/ into your project to start.

MCP Toolkit for Flutter AI Agent Driven Development (MCP/CLI + custom client side tools) - via closed feedback loop (visual & semantic snapshot) and high client side customization adaptable for any Flutter app. Nowadays it is often called as agentic harness.

Containment for AI agents - user isolation, sandboxed execution, network controls, backup/rollback. TLA+ verified.

Single source of truth for AI coding agent configuration — skills, commands and rules shared across OpenCode and Pi.

A Super AI Lab with massive AI Doctors as Assistants. Best IDE for Research via AI Power.

Run a task with AI as a flow of steps you keep, reuse, and refine, not a one-off chat.

Research and scraping agent skeleton: tool loop, loadable skills, fallback chains. No data included, configured via .env.

A realtime voice runtime that keeps Agents talking, working, and present. Real-time Voice Runtime for AI Agents

Coding agent orchestration for engineering teams — shipped as a spec plus a working reference implementation.

MCP Server Security Standard (MSSS): an open, testable security control standard for certifying MCP servers, with levels, evidence requirements, and reporting schemas.

A practical, no-hype workflow for AI coding agents: context, plan, implement, review, QA, ship, retro. Templates, two Claude Code skills, and a 40% context rule - every claim traced to official docs.

A human-governed AI coding workflow that distills ephemeral session context into persistent project memory—making work traceable, reviewable, and resumable.