Sirro vs Veridu

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Sirro compared with Veridu
Detail	Sirro	Veridu
What it does	Save assets once. Reuse in every project.	Verification for code your AI agent writes
Stage	MVP	MVP
Founded	Not given	Not given
Based in	Not given	US
Pricing model	Freemium	Freemium
Pricing	Free: 10 saved assets, 1 MB storage. Pro: $19/month for 150 saved assets, 10 MB storage. Team: $49/month for up to 4 members, 500 shared assets, 30 MB shared storage.	Free: $0, 20 free reviews per month on public GitHub repos, no card required. Solo: $25/month ($20/month billed annually), includes 20 reviewed changes per month, private repo access, full reviewer catalog. Team: $25/user/month ($20 billed annually, 3 seat minimum), 20 reviewed changes per seat mont
Key features	External memory for AI coding agents Team shared libraries across projects MCP server integration with Cursor, Claude Code, Codex, and more Save and retrieve assets by name Collaboration across agents and repositories Versioned searchable asset storage Automatic versioning when you save Organize library with tags	Change-impact analysis showing callers, implementations, and removed code references Two independent reviewers (Codex and Claude) with parallel verification and reconciliation Five surfaces: MCP, CLI, Web, GitHub App, API MCP integration for agent verification before commit GitHub App for automatic pull request reviews Grounded findings with file, line, and evidence for each issue Per-review model selection on paid plans No repository connection required; only files from the agent are read Code review artifact retention and export
What makes it different	Reduces token costs by fetching existing assets instead of regenerating them Eliminates copy-paste archaeology with named asset retrieval Lives outside individual projects and repositories for cross-project reuse Works with multiple AI coding tools through single MCP connection	Checks code context outside the diff, not just the change itself Dual independent reviewer reconciliation catches contradictions humans need to judge Only grounded findings block; AI certainty is not enough Does not train on customer code and never will Integrates with coding agents before commit to catch issues early
Free plan	Not given	Not given
Open source	Not given	Not given
Platforms	Not given	Not given
Public API	Not given	Not given
Community votes	0	0
DR (Domain Rating by Ahrefs)	3 no change since last check	2 no change since last check
Trust Flow (Majestic)	20	1
Citation Flow (Majestic)	20	25
Referring domains (Majestic)	15	20

6 details filled in for both companies.

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