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Limits

Control layer for AI agents that take real actions

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Prompt instructions like 'never do X' don't hold up in production. LLMs ignore them when context gets long or users push hard.Limits sits between your agent and the real world. Every action — database writes, API calls, refunds — gets intercepted and checked against your rules before it executes. Deterministically. No LLM involved in enforcement.Three modes:Conditions: hard rules on structured data Guideance: validate LLM output before it reaches the user and give the agent chance to reason and retry Guardrails: scan for PII, toxicity, prompt injection etcOne line to integrate: npm install @limits/jsour website: https://limits.devour docs: https://docs.limits.devWe've processed 30,000+ policy checks across 16 teams. Would love feedback from anyone who's built something like this internally."

HN · launched Feb 25, 2026 · 9 upvotes (top 51%) · 1 view

Niche: ai agent guardrail software · 200 launches, 24 in the last 7 days ▲ +20% · Explore this niche →

Category and tags

  • Horizontal
  • Compliance & governance
  • B2B
  • AI-native
  • Commercial product

Visit website ↗ Source listing ↗

Could you build this?

Yes Limits / FirstFlow functions as an API proxy/guardrail middleware that checks outgoing agent tool calls against deterministic JSON schema policies or evaluator rules before forwarding them.

Discussion

2 comments analyzed.

Concerns raised: Policy layer complexity increases with varied agent workflows, Model behavior degradation over time

Feature requests: Append-only ledger for proposal/rejection/commit audit trail, Execution gates for irreversible actions (DB writes, payments, API mutations), Invariant checking (replay, sequencing, ceilings, context consistency)

Competitors

Other products that read as similar to this one : 399 launches clear the similarity bar, closest 8 shown.

Attention rank: #215 of 400 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 116 days after the earliest competitor.

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