⌥ Coding agent with the IDE wired in

Portable AI agent orchestration with mechanical protocol enforcement. 186 agents, zero runtime dependencies.

TAKT Agent Koordination Topology - Define how AI agents coordinate, where humans intervene, and what gets recorded — in YAML

Local first, desktop companion platform with animated pets, plugin SDK and coding-agent integrations.

Provider-neutral control plane for durable-state agent swarms: subprocess workers, leases, artifacts, memory, and deterministic stitching.

Know what to fix next — local .pm governance skill pack for AI coding agents (Spec Kit–inspired).

C# coding-agent harness (.NET 10, Microsoft Agent Framework) — sessions, tools, permissions, providers, MCP, plugins

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

Installable agent skills for browser automation, local knowledge, skill management, external CLI workflows, and session handoffs.

Agent coordination protocol — declare intents, lock symbols, detect conflicts before code is written

Agent skills for Odoo addon development and OCA module migration

Agent Skills for optimizing web quality based on Lighthouse and Core Web Vitals.

Unified execution environment for Python code, shell commands, and programmatic MCP tool calls.

Use cultivar to test your Agent Skills, run them in sandboxes, and across different agents.

The one and only agent harness for complex codebases. Project memory, planning, execution, and verified completion inside Codex.

The full-stack TypeScript framework to build, test, and deploy production-ready MCP servers and AI-native apps.

All my YouTube tutorials. Everything here is free - but please follow me on YouTube if you find these helpful.

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

Control 1 or more machines using computer use tools that integrates with your agents

The definitive guide & configuration system for GitHub Copilot CLI — agents, skills, rules, multi-AI orchestration, and more

AI code reviews grounded in 12 classic engineering books — decay risk diagnostics with book citations, severity labels, and 6 analysis modes including full-sweep auto-fix

Zero-config React with built-in SSR, automated quality gates, and AI-ready project structure - ship clean code whether you write it yourself or with an AI assistant.

The MATLAB Agentic Toolkit brings trusted MATLAB capabilities to AI agents, making engineering and scientific workflows agent-ready.

a coding Agent, rpc plugin, sub-agents, hashline edits, and mcp