Linchpin is an open-source, self-hostable runtime for managed AI agents. Apache-2.0. One `docker compose up` and you get a full agent platform — REST + SSE API, per-session Docker sandbox, MCP tools, encrypted vaults. Bring any cloud model via OpenRouter, or local via Ollama.
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
As a CS student who's been trying to self-host agent setups, the gap between 'here's a library' and 'here's a running platform' is genuinely painful. One thing I'm curious about is that how do you handle the agent going rogue inside the Docker sandbox? Like is there a kill switch or resource cap per session, or is that still on the roadmap?
Managed AI agents often feel like a black box, so a self-hostable runtime is a breath of fresh air for privacy-conscious teams. What’s the resource overhead like for running a single agent instance on a local server?
About Linchpin on Product Hunt
“Open-source, self-hostable runtime for managed AI agents”
Linchpin launched on Product Hunt on May 13th, 2026 and earned 77 upvotes and 5 comments, placing #30 on the daily leaderboard. Linchpin is an open-source, self-hostable runtime for managed AI agents. Apache-2.0. One `docker compose up` and you get a full agent platform — REST + SSE API, per-session Docker sandbox, MCP tools, encrypted vaults. Bring any cloud model via OpenRouter, or local via Ollama.
Linchpin was featured in Open Source (68.4k followers), Developer Tools (512.5k followers), Artificial Intelligence (468.6k followers) and GitHub (41.2k followers) on Product Hunt. Together, these topics include over 194.8k products, making this a competitive space to launch in.
Who hunted Linchpin?
Linchpin was hunted by NIkhil Aourpally. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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NIkhil Aourpally