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).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
Anchor SDK
Build the agent. Not the plumbing.
An open-source TypeScript AI agent harness with composable strategies, tools, sandbox adapters, memory, inbox delivery and traces.
Hey Product Hunt 👋 I'm Hrithik, the maker of Anchor.
What inspired it
I've been building AI agents in production, and the same plumbing came up every time: a safe place to run code, memory that survives long tasks, budgets so a runaway loop doesn't burn money, traces you can replay, and some way to know "done" actually means done. Every team rebuilds this, and it's what slows down shipping. So I packaged it into one open-source SDK.
What it does
⚓ Pluggable sandboxes: Heyo Computer, Docker, E2B or local, all behind one contract and tested by the same conformance suite (Daytona, Northflank, Vercel, etc coming soon)
⚓ Durable runs: conversations, workspaces and the agent's notes survive crashes, context limits and budget limits
⚓ Evidence, not vibes: every tool result is recorded, and passing tests are tied to the exact code they ran against
⚓ Guardrails and replayable traces, each with an off switch
How the approach evolved
My first version didn’t trust the agent at all. Every phase was gated: no moving from “fix” to “verify” without a passing test. The agents became rigid and literal. Even “review your work” turned into running tests for no reason.
So I flipped the philosophy: trust the reasoning, verify the claims. The agent works freely, while Anchor quietly records the evidence (every tool result, every test run tied to the exact code it ran on). You decide where that evidence has to back up a claim. The result is agents that think like engineers and still can’t fake “done.”
It's early alpha (0.1.x) and fully open source:
📦 npm i anchor-ai-sdk
💻 github.com/hrithikkoduri/anchor-ai-sdk
I'd love your feedback: what's the piece of agent plumbing you've rebuilt the most?
And if it's useful, a ⭐ on GitHub means a lot.
About Anchor SDK on Product Hunt
“Build the agent. Not the plumbing.”
Anchor SDK was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #158 on the daily leaderboard. An open-source TypeScript AI agent harness with composable strategies, tools, sandbox adapters, memory, inbox delivery and traces.
On the analytics side, Anchor SDK competes within Open Source, Software Engineering, Artificial Intelligence and GitHub — topics that collectively have 635.3k followers on Product Hunt. The dashboard above tracks how Anchor SDK performed against the three products that launched closest to it on the same day.
Who hunted Anchor SDK?
Anchor SDK was hunted by Hrithik Koduri. 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 Anchor SDK including community comment highlights and product details, visit the product overview.
Hrithik Koduri