This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
OpenHermit is an open-source platform for deploying AI agents as production services. Most CLI agents keep state in files — fine for one user, but it breaks at scale. OpenHermit puts internal state (memory, sessions, schedules, secrets, etc) in Postgres, while the workspace stays a sandboxed Docker container. Fleet ops become trivial: install a skill on 100 agents with one command, push instructions, audit sessions, all operable from one admin UI and CLI commands.
Hey Product Hunt 👋 — I'm William, the maker of OpenHermit.
OpenHermit is an open-source runtime that runs AI agents as deployable, operable services — not as personal CLI assistants.
The core idea: most CLI agents (Claude Code, OpenClaw, Hermes…) keep their state in files or per-agent SQLite DBs. That's perfect for one human at one machine, but it falls apart the moment you need to run a fleet — for a team, a SaaS, or a swarm of specialized agents.
So OpenHermit splits state in two:
- Internal state — sessions, messages, events, memories, instructions, skills, MCP, schedules, secrets, users — lives in a shared Postgres, scoped by agent_id.
- External state — the workspace files the agent is actually working on — stays in a sandboxed Docker container per agent.
Once internal state is centralized, fleet operations that were painful become trivial:
- push a new instruction or skill to 100 agents with one command
- one user, multiple identities across Web / CLI / Telegram / Discord / Slack — recognized as the same person
- platform-side visibility into every session, event, and memory
- gateway-managed auth, routing, and lifecycle
The goal isn't "your personal local assistant" — it's agents as deployable services.
I'd especially love feedback on the internal/external state split — does it match how you'd want to run agents at scale? I'll be in the comments all day.
No comment highlights available yet. Please check back later!
About OpenHermit on Product Hunt
“Operable agents platform”
OpenHermit was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #147 on the daily leaderboard. OpenHermit is an open-source platform for deploying AI agents as production services. Most CLI agents keep state in files — fine for one user, but it breaks at scale. OpenHermit puts internal state (memory, sessions, schedules, secrets, etc) in Postgres, while the workspace stays a sandboxed Docker container. Fleet ops become trivial: install a skill on 100 agents with one command, push instructions, audit sessions, all operable from one admin UI and CLI commands.
OpenHermit was featured in Open Source (68.4k followers), Artificial Intelligence (467.3k followers) and GitHub (41.2k followers) on Product Hunt. Together, these topics include over 121.3k products, making this a competitive space to launch in.
Who hunted OpenHermit?
OpenHermit was hunted by William Wang. 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.
Want to see how OpenHermit stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
William Wang
Hey Product Hunt 👋 — I'm William, the maker of OpenHermit.
OpenHermit is an open-source runtime that runs AI agents as deployable, operable services — not as personal CLI assistants.
The core idea: most CLI agents (Claude Code, OpenClaw, Hermes…) keep their state in files or per-agent SQLite DBs. That's perfect for one human at one machine, but it falls apart the moment you need to run a fleet — for a team, a SaaS, or a swarm of specialized agents.
So OpenHermit splits state in two:
- Internal state — sessions, messages, events, memories, instructions, skills, MCP, schedules, secrets, users — lives in a shared Postgres, scoped by agent_id.
- External state — the workspace files the agent is actually working on — stays in a sandboxed Docker container per agent.
Once internal state is centralized, fleet operations that were painful become trivial:
- push a new instruction or skill to 100 agents with one command
- one user, multiple identities across Web / CLI / Telegram / Discord / Slack — recognized as the same person
- platform-side visibility into every session, event, and memory
- gateway-managed auth, routing, and lifecycle
The goal isn't "your personal local assistant" — it's agents as deployable services.
🔗 Site: https://openhermit.ai
📖 The story: https://openhermit.ai/blog/agents-but-operable
💻 Repo: https://github.com/williamwa/openhermit (MIT)
I'd especially love feedback on the internal/external state split — does it match how you'd want to run agents at scale? I'll be in the comments all day.