agent-sandbox enables easy management of isolated, stateful, singleton workloads, ideal for use cases like AI agent runtimes.
Repositories
mvanhorn repositories
Scripts for agents, shared between my repositories.
Vercel's official collection of agent skills
Production-grade engineering skills for AI coding agents.
Slack automation CLI for AI agents
Agent Swarm framework for AI coding agents and more!
Official, AWS-supported MCP servers, skills, and plugins to help AI agents build on AWS
A HTTP credential proxy and vault for AI agents
The open-source LLMOps platform: prompt playground, prompt management, LLM evaluation, and LLM observability all in one place.
Disposable CLA-mode aggressive verification repo (plan 006). Archived after run.
Disposable DCO-mode aggressive verification repo (plan 006). Archived after run.
Plan 008 launch-dogfood test repo (CLA mode). Disposable; archived after run.
DCO mode dogfood - U4
Launch-readiness dry-run dogfood (plan 2026-04-28-003). Archived after evidence captured.
Smoke test for agentcla.dev public-repo end-to-end run on 2026-04-26. Disposable; archived after run.
Your agent runs on a Mac that isn't your daily driver. agentcookie keeps its sessions in sync with the Mac you actually browse on, continuously, encrypted over Tailscale, so OpenClaw, Hermes, or any other agent runtime wakes up authenticated. macOS, peer-to-peer, no cloud middleman.
Readymade evaluators for agent trajectories
GitHub is for humans. AgentHub is for agents. First use case is for autoresearch but it's a lot more general than that. Exploratory project.
Every AI Agent deserves a wallet.