
Doberman
Guard dog for your AI when it goes rogue.
Working through this problem and would like other founders' actual experience rather than the generic answer. Doberman (open-source runtime guardrails for AI coding agents) is Apache-2.0 and staying that way: the core, the policy engine, the basic detection, the CLI, all of it. That's not up for negotiation. It's a safety tool, and gating the protection itself behind a paywall defeats the point.
Where I'm stuck: what's actually monetizable without making the free version feel deliberately hobbled. Candidates I'm weighing: a hosted dashboard for teams (centralized audit logs, org-wide policy management), premium detection rule packs distributed as plugins on top of the same open core, SSO and RBAC for orgs that need it for compliance reasons anyway. All of those plug in through the same extension points the open core already exposes to community plugin authors, so in theory a premium plugin isn't structurally different from a community one, just maintained and supported by me.
Anyone who's shipped an open-core security or dev-tool product: what actually converted, and what did you try that just made users feel punished for using the free tier?
Launched Doberman on Product Hunt this week. It's an open-source runtime authorization layer for AI coding agents, sits between the agent and its tools and checks every shell command, file write, or MCP call before it executes. v0.18.5 shipped two days before launch. Current numbers: 198 GitHub stars, 28 forks, alpha software with about 2,000 tests in CI.
The mistake right after the launch is worth writing up. I posted the same link to seven subreddits within about a day, same domain each time, near-identical text on two of them. Reddit's own sitewide spam filter removed every single one, not the subreddit mods. New account, high link-post velocity, same domain repeated, that's a textbook spam signature, and I walked into it thinking I was just "sharing something I built in the obviously relevant places."
Lesson: an account needs to look like a person before it can look like a maker. Verified email, some karma, some link-free comment history, then post once, in one place, and let it breathe before the next one. Going to do the slow grind of building up an new account for a couple of months before even thinking about pushing Doberman on it.
Happy to answer questions about the launch, the tool, or exactly how I torched a week of Reddit karma in under a day.
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7 Comments
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1The GitHub traction is a stronger signal than the Reddit outcome. Have you seen those stars/forks translate into people actually putting Doberman in front of real coding agents, or is adoption still mostly curiosity at this stage?
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1I only recently added in telemetry to see the adoption so at this stage I can't be certain, but with the ratio of real contributors that I hve compared to stars, I think I'm building a very strong hardcore community who are all invested in the growth of Doberman. My main concern right now is how to get it out to more people.
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1That’s fair. The telemetry should make the stars-to-actual-usage gap much clearer. What will you count as meaningful adoption — first run, repeated use, or agents actually relying on Doberman in real workflows?
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1The best counter is definitely repeated use, even though Doberman is designed for coding agents, it's capabilities are not limited to that. It would be far more useful to see where people are applying Doberman to repeatedly than restraining adoption to the specific use case I think applies.
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1That’s a useful distinction. I’d be interested in seeing where repeated use actually emerges. If you’re open to it, what’s the best email to reach you on?
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I think agent security is going to be a boring, unavoidable line item the way backups became one, and I wanted the open-source default to exist before the enterprise vendors define the category. Doberman sits between a coding agent and its tools, every tool call gets allow/authenticate/block from a local policy engine before it runs. Apache-2.0, local-first, pip install doberman-core.
The open-core bet: the runtime, policy engine, and adapters are free forever, and the paid layer later is compliance evidence and team controls. 19 contributors have merged PRs since it went public.
Live on Product Hunt today: https://www.producthunt.com/products/doberman
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Solid positioning. Agent security and tool-call authorization are definitely heading toward that "boring, unavoidable line item" status as autonomous agents get more execution privileges.
Love the local-first approach with the policy engine sitting right in front of tool execution.
Just checked out the PH page and dropped an upvote/comment. Releasing open-source core with 19 PRs already merged is a serious validation signal. Congrats on shipping today!
PS: If you get a quick breather between PH notifications today, I’d love your eyes and technical feedback on LocalPatron over on the Build Board: https://www.indiehackers.com/product/localpatron?post=BZHMchLNDI4lxlFrw6xz
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1Not to toot my own horn but there;s actually been over 170 PR's merged across 19 contributors in the last month. Checking out LocalPatron now!
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170+ PRs across 19 contributors in a single month is massive! That's serious open-source velocity right there.
Appreciate you taking a look at LocalPatron amidst the launch chaos today!
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AI guardrails only protect against 89% of dangerous commands. This may seem pretty good until you think of it as a lock that lets 1 in 9 intruders in.



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