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).
San is an open-source ~12MB terminal runtime for AI agents. Plug in any model, any search backend, and switchable personas; it learns from your work into durable memory and skills. Fast and lean — ~0.01s cold start — and built to be an open, reusable harness you can shape.
I kept rebuilding the same layer for every agent I made — the harness around the model. So we built one worth keeping and opened it up.
San is one ~12MB Go binary with ~0.01s cold start — small enough to run anywhere, from your laptop to a CI step, a container, or an edge device.
It's flexible by design: plug in any model and search backend, switch personas to keep each agent's context lean. It learns as you work, turning recent sessions into durable memory and reusable skills. And it plugs into what you already use — skills, subagents, plugins & MCP run unmodified.
It's an open, fast harness, made to be built on. Apache-2.0, and we'd love to build it out with you.
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About San on Product Hunt
“An open, 12MB runtime for fast AI agents”
San was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #85 on the daily leaderboard. San is an open-source ~12MB terminal runtime for AI agents. Plug in any model, any search backend, and switchable personas; it learns from your work into durable memory and skills. Fast and lean — ~0.01s cold start — and built to be an open, reusable harness you can shape.
San was featured in Open Source (68.6k followers), Developer Tools (515.4k followers) and Artificial Intelligence (473.1k followers) on Product Hunt. Together, these topics include over 193.8k products, making this a competitive space to launch in.
Who hunted San?
San was hunted by Meng Yan. 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 San stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Meng Yan
Hi PH 👋
I kept rebuilding the same layer for every agent I made — the harness around the model. So we built one worth keeping and opened it up.
San is one ~12MB Go binary with ~0.01s cold start — small enough to run anywhere, from your laptop to a CI step, a container, or an edge device.
It's flexible by design: plug in any model and search backend, switch personas to keep each agent's context lean. It learns as you work, turning recent sessions into durable memory and reusable skills. And it plugs into what you already use — skills, subagents, plugins & MCP run unmodified.
It's an open, fast harness, made to be built on. Apache-2.0, and we'd love to build it out with you.
Tell us what you'd plug in 👇