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Shotgun - AI Cofounder Framework

Don't Build Solo. Let Shotgun Ride Along.

Open Source
Artificial Intelligence
GitHub
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Hunted bykrishna tejakrishna teja

An open-source "operating system" that turns your favorite AI agent into a persistent, personalized virtual cofounder for solo founders. It works on any AI agent, with first-class wiring for Claude Code, Cursor, Antigravity, Gemini CLI, and GitHub Copilot. One line installs it, `shotgun-init` injects the full OS into any folder or existing codebase, you run onboarding once, and from then on the agent knows your venture, remembers everything, builds your product, and keeps your data organized.

Top comment

I'm a solo founder and my main frustration with AI tools is amnesia: every session starts from zero.

Shotgun is my attempt at fixing that with the simplest possible architecture. One command injects it into any folder; your agent picks it up via the AGENTS.md standard (works on Claude Code, Cursor, Codex CLI, and 28+ others). A SHOTGUN.md file defines a strict operating loop (read memory at session start, log decisions with their reasoning, update open loops at session end), and all state lives in plain markdown files. Memory, a data vault for business files, and per-project code workspaces. The model is swappable because nothing lives in the model. CI validates the whole framework on every push: skill frontmatter, loop routing, and the installer end-to-end.

*The latest updates for Shotgun (V1.6) are now available. Shotgun has been enhanced with additional features, skills, and abilities that are typically priced in the field. This makes Shotgun a standout product in its niche. We encourage you to explore these updates. Cheers!

Comment highlights

since you asked for honest feedback - the place i'd expect a weaker model to drift is the memory-write step itself, not the actual work. it'll do the task correctly but skip logging the decision, or compress it down to "did X" with no reasoning, which quietly defeats the whole point once you need to know why a call was made three sessions later. is that step enforced structurally somehow, like blocking session-end until the checklist items in SHOTGUN.md are actually filled in, or does it fully depend on the model choosing to follow the loop on its own?

I like that you're treating the AI agent as infrastructure rather than the product itself.

As models become interchangeable, I think the longer-term advantage shifts toward the operating system that preserves context, decisions, and continuity across whichever models people choose to use.

That's a much harder layer to build.

Building solo, the loneliest part is re-explaining everything every single time. An assistant that actually keeps up with the whole story of what I am making sounds like real company for the long haul. Nicely done, Krishna ;)

how does it actually persist context between sessions, does it just dump everything into the repo as markdown or is there a real vector store behind it

Ran shotgun-init on a side project and the onboarding actually felt like delegating to a real cofounder, not just feeding a chatbot context. The fact that it works across Claude Code and Cursor without rewriting anything is what sold me.

The one-line install plus onboarding flow is genuinely well thought out, makes something this ambitious feel approachable instead of overwhelming.

The one-line install and `shotgun-init` approach is really thoughtful, removing the usual setup friction that kills most frameworks before anyone even sees what they do.

One line to install and my Claude Code agent actually remembered context across sessions without me re-explaining the project each time. Felt like having a real partner instead of a forgetful tool.

About Shotgun - AI Cofounder Framework on Product Hunt

Don't Build Solo. Let Shotgun Ride Along.

Shotgun - AI Cofounder Framework was submitted on Product Hunt and earned 24 upvotes and 17 comments, placing #20 on the daily leaderboard. An open-source "operating system" that turns your favorite AI agent into a persistent, personalized virtual cofounder for solo founders. It works on any AI agent, with first-class wiring for Claude Code, Cursor, Antigravity, Gemini CLI, and GitHub Copilot. One line installs it, `shotgun-init` injects the full OS into any folder or existing codebase, you run onboarding once, and from then on the agent knows your venture, remembers everything, builds your product, and keeps your data organized.

Shotgun - AI Cofounder Framework was featured in Open Source (68.6k followers), Artificial Intelligence (473.7k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 145.6k products, making this a competitive space to launch in.

Who hunted Shotgun - AI Cofounder Framework?

Shotgun - AI Cofounder Framework was hunted by krishna teja. 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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