A HTTP credential proxy and vault for AI agents
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mvanhorn のリポジトリ
mvanhorn/agentaTypeScript
The open-source LLMOps platform: prompt playground, prompt management, LLM evaluation, and LLM observability all in one place.
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Disposable CLA-mode aggressive verification repo (plan 006). Archived after run.
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Disposable DCO-mode aggressive verification repo (plan 006). Archived after run.
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Plan 008 launch-dogfood test repo (CLA mode). Disposable; archived after run.
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DCO mode dogfood - U4
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Launch-readiness dry-run dogfood (plan 2026-04-28-003). Archived after evidence captured.
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Smoke test for agentcla.dev public-repo end-to-end run on 2026-04-26. Disposable; archived after run.
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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.
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mvanhorn/agentevalsPython
Readymade evaluators for agent trajectories
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mvanhorn/agentglassTypeScript
🛰 A loupe for your agents — a real-time Mission-Control dashboard and workspace for AI coding agents, across every provider and every project on your machine
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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.
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Open-source Agentic AI framework in Go for building, orchestrating, and deploying intelligent agents. LLM-agnostic, event-driven, with multi-agent workflows, MCP tool discovery, and production-grade observability.
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mvanhorn/agentkitTypeScript
Every AI Agent deserves a wallet.
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Email gateway that opens a Claude Code session per inbound AgentMail message (cmux or Ghostty)
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mvanhorn/agentmemoryTypeScript
#1 Persistent memory for AI coding agents based on real-world benchmarks
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mvanhorn/agentpulseTypeScript
Real-time monitoring dashboard for AI coding agent sessions (Claude Code + Codex CLI)
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mvanhorn/agentsPython
A framework for building realtime voice AI agents 🤖🎙️📹
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AgentScope Java: Agent-Oriented Programming for Building LLM Applications
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