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San
An open, 12MB runtime for fast AI agents
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.
Tell us what you'd plug in 👇
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.
On the analytics side, San competes within Open Source, Developer Tools and Artificial Intelligence — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how San performed against the three products that launched closest to it on the same day.
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.
For a complete overview of San including community comment highlights and product details, visit the product overview.
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 👇