Hey PH 👋 — Nikhil, one of the makers. Every time Devin, Manus, or Operator launched, the top comment on HN was some variant of "is this open source?" The answer kept being no. So we built Linchpin. It's the runtime layer under a managed agent — the thing you run on a VM that hosts the agents, manages the per-session Docker sandbox, persists the event log, and exposes a clean HTTP/SSE contract. Closer to "LangGraph + your-own-FastAPI + your-own-docker-py + your-own-event-log, but pre-wired" than to a library. What's actually there in v0.1: • Agents (versioned configs), environments (container templates), sessions • 8 built-in tools (bash/read/write/edit/glob/grep/web_fetch/web_search) • MCP via stdio, custom HTTP tools • Fernet-encrypted credential vaults • ~3k LOC Python + a small React console • Single VM, ~4 GB RAM minimum Honest tradeoffs: single-tenant single-user today. No observability dashboards yet. No SSO/RBAC. Deliberate cuts to keep v0.1 small and readable. If you've tried self-hosting OpenHands, OWL, Aider, etc. as a control plane vs. a CLI — would genuinely love to hear what you wished existed at the platform layer. Repo: https://github.com/linchpinhq/li... Site: https://linchpin.work Arch: https://linchpin.work/architecture

Linchpin

Open-source, self-hostable runtime for managed AI agents

Open-source, self-hostable runtime for managed AI agents