Keystone
building self-configuring agents
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When cloning a repo, we kept hitting the same wall: no Dockerfile, no dev container, no clear path to running it. Asking an agent to fix it directly on your system is risky, as it can clear Docker config, change kernel settings, downgrade packages without warning.Keystone runs the agent inside a Modal sandbox with its own Docker daemon. It iterates until tests pass, then hands you a .devcontainer/ you can just check in. Now your repo knows how to run itself!
HN · launched Mar 25, 2026 · 5 upvotes (top 89%) · 0 views
Niche: ai agent execution sandboxes · 137 launches, 6 in the last 7 days ▼ -25% · Explore this niche →
Category and tags
- Horizontal
- Agent / copilot
- Developer
- AI-native
- Commercial product
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More like this: all 137 launches in ai agent execution sandboxes →
Could you build this?
Partial The agent harness and prompt loop are straightforward to vibe-code, but safe dynamic containerization and autonomous environment diagnosis across diverse tech stacks require deep systems knowledge.
What it would actually take: The architecture requires integrating an LLM agent with an isolated microVM or container runtime (like Modal, Firecracker, or Docker sandboxes) via an automated command execution and state-inspection daemon. The hardest part is heuristic environment detection, resolving dependency graph conflicts, parsing varied compiler/runtime error logs, and preventing system escapes. It requires expertise in Linux internals, system virtualization, and automated dev-environment orchestration.
Discussion
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Competitors
Other products that read as similar to this one : 291 launches clear the similarity bar, closest 8 shown.
Attention rank: #276 of 292 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 129 days after the earliest competitor.
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- Render Sandboxes · ph · 2026-11-04 · 250 upvotes · similarity 0.47
- Running AI agents across environments needs a proper solution · hn · 2026-03-24 · 8 upvotes · similarity 0.47
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