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
Aming Claw
Governance for reliable, long-running AI agents
AI agents drift during long-running work when they lose their verified state and guess among multiple next actions. Aming Claw is open-source governance infrastructure that verifies an agent’s position, pushes one legal next entrance, and preserves causal evidence across handoffs. It adds a graph-backed backlog, independent worker/QA roles, auditable bypasses, and controlled merge/reconcile flows—so humans provide judgment instead of acting as an expensive GPS.
Hi Product Hunt! 👋
I started building Aming Claw after repeatedly watching capable coding agents fail for reasons that were not really about intelligence. They lost their verified position, reconstructed stale context, or chose among several plausible next actions. Humans then had to act as an expensive GPS.
The project began as a timeline and backlog for long-running agent work. Through dogfooding, it evolved into graph-backed governance with independent worker and QA roles, auditable bypasses, and controlled merge/reconcile flows.
That process also produced the model behind the product:
P(correct step) =
P(correct position) × P(correct entrance | position)
Aming Claw therefore verifies where the agent is and pushes one legal next entrance instead of asking it to pull and guess its own context.
I would especially value real failure cases and counterexamples. Where have your agents lost their place, and does “position + one entrance” explain the failure?
About Aming Claw on Product Hunt
“Governance for reliable, long-running AI agents”
Aming Claw was submitted on Product Hunt and earned 6 upvotes and 1 comments, placing #93 on the daily leaderboard. AI agents drift during long-running work when they lose their verified state and guess among multiple next actions. Aming Claw is open-source governance infrastructure that verifies an agent’s position, pushes one legal next entrance, and preserves causal evidence across handoffs. It adds a graph-backed backlog, independent worker/QA roles, auditable bypasses, and controlled merge/reconcile flows—so humans provide judgment instead of acting as an expensive GPS.
On the analytics side, Aming Claw competes within Open Source, Developer Tools and OpenAI Day — topics that collectively have 586.2k followers on Product Hunt. The dashboard above tracks how Aming Claw performed against the three products that launched closest to it on the same day.
Who hunted Aming Claw?
Aming Claw was hunted by Aming. 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 Aming Claw including community comment highlights and product details, visit the product overview.
Aming