Veris – Agent sandboxes with simulated external services
Train your agents before deployment and keep training them after. Generate scenarios from code, prompts, and production traces; run them in simulation; turn every verified failure into a fix or an RL reward.
Veris – Agent sandboxes with simulated external services launched on May 7, 2026 with 9 votes, #1,305 of 20,538 launches that month and more than 75% of that year's launches.
What it does
Before launch, battle-test your agent until it passes QA and compliance. After launch, feed every production failure back into simulation, so the agent that shipped keeps getting better. Agents plateau after launch. Failures are found by customers, fixes are guesswork, and evals report scores without driving improvement. An eval suite that says 74% and nothing about why. Incidents get patched one prompt tweak at a time, each fix silently breaking something else, and the agent six months after launch is the agent you launched. Every failure, caught before deploy or replayed from production, is root-caused, fixed, and pinned as a regression scenario. When your model is open-source, the same…from veris.ai
Does a similar job
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ReplicasJun 2026 · replicas.dev · ▲239Hey HN! I'm Connor, creator of Replicas. I'm a heavy Codex/Claude Code user, and I wanted to hand off tasks to agents like I would to an engineer - kick something off before work, let it scaffold while I'm at lunch, even come back to a ready PR. The problem: existing alternatives use workspace VMs that are black boxes. I have no access to any of them - they can't run tests, read logs, or use tools like the Playwright MCP (which I use to verify agents actually fixed what they claim to fix). Replicas gives agents real cloud workspaces where they can: - Run your test suite and read the…



I Built a Sandbox for AgentsJan 2026 · github.com · ▲31Contribute to vrn21/bouvet.com development by creating an account on GitHub.
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