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Paveo

Stop risky AI agent actions before they run

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This is 1 of 113 launches in ai agent guardrail software — see how it stacks up on momentum and crowding →

307 other launches read as similar to this one →

Details

External ID
1275683
Source
PH
Company
—
Product
Saveo
Website domain
producthunt.com
Launched
Oct. 11, 2026
Cohort
—
Upvotes
1
Upvotes percentile
0.33
Tags
Developer Tools, Artificial Intelligence, GitHub, Security

Description

Let your AI agents act, and prove what you allowed. When your coding agent tries to run rm -rf or force-push to main, Paveo refuses it before it runs and records the decision. Works with Claude Code, Codex, Cursor, MCP and Python agents, on your own machine. With design partners: a model trained on your team's own decisions that flags what the rules allow but shouldn't, and someone on your team to approve what gets flagged. Try it: uvx paveo doctor

Enrichment

Niche
ai agent guardrail software
Vertical
Security
Function
Compliance & governance
Audience
Developer
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
safety guardrails for ai agent actions
Manually corrected
False

Could you build this?

Partial While intercepting CLI tool calls or proxying MCP messages with simple rule sets is straightforward, reliable security guardrailing against subtle prompt injections or destructive multi-step tool calls with provenance auditing is complex.

What it would actually take: A production version requires an eBPF or low-level OS process interceptor and an MCP proxy to reliably sandbox executions and hook terminal syscalls. It needs a fine-tuned safety classifier model that evaluates ASTs and shell semantics in real-time, coupled with an immutable cryptographic audit log for compliance. Engineering this requires systems programming (Rust/C++) and specialized agent security expertise.

Competitors

Other products that read as similar to this one — 307 launches clear the similarity bar, closest 8 shown.

Attention rank: #186 of 308 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 327 days after the earliest competitor.

Other launches for this product