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Mesrai vs ShardStitch

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

Mesrai compared with ShardStitch
DetailMesrai logo MesraiShardStitch logo ShardStitch
What it doesMulti-agent AI code review that reads your repo as a graph, not just the diff Local-first AI coding memory and recovery for Claude, Cursor, Codex, Gemini, and more
StageStartup Not given
Founded2025 Not given
Based inIN Not given
Pricing modelFreemium Paid
PricingFree Trial: 14 days, full feature access, no credit card required. Pro: $6 / ₹499 per active developer per month (bring your own LLM key). Enterprise: Custom pricing, contact sales. $49 one-time lifetime license, no subscription or recurring fees, Windows/macOS/Linux desktop apps included
Key features
  • Multi-agent code review analyzing bugs, security, performance, and architecture on every PR
  • Whole-codebase graph analysis across monorepos and multi-repo setups
  • Inline PR comments with severity, rationale, and suggested fixes
  • CLI for local and CI review with pre-push hooks
  • IDE extension supporting Cursor, Copilot, Claude and Windsurf rule sync
  • Support for GitHub, GitLab, Bitbucket, and Azure Repos
  • Bring Your Own Key (BYOK) with zero markup on LLM costs
  • Code never stored or used for model training
  • Session recovery across 31 AI coding tools including Claude, Cursor, Codex, Gemini, Cline, Devin, Windsurf, and more
  • Git-aware state tracking with branch, diff, changed files, and recent commits
  • Dependency graph showing file relationships and god-node detection
  • 49 MCP tools callable directly from Claude Code, Cursor, Devin, and Windsurf
  • Session Vault for local recovery history after crashes and outages
  • Zero telemetry with local recovery and optional explicit exports only
  • Hivy on-device intelligence for context trimming and drift detection
  • Windows, macOS, and Linux desktop apps with CLI and VS Code/Cursor extension
  • Council 12-agent review layer for risky handoffs to surface stale assumptions
What makes it different
  • Architectural understanding of the entire codebase instead of just reviewing isolated diffs
  • Multi-agent parallel analysis running specialized agents for different review categories simultaneously
  • Consistent review rules enforced across IDE, CLI, and cloud reviewer
  • Recovers from disk state without needing the old session alive, unlike transcript-based approaches
  • Works after the session ends or is locked out, unlike /compact or /handoff skills
  • Formats for 31 AI tools instead of locking you into one platform
  • Local-first with zero telemetry and no cloud sync unless explicitly configured
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)1 no change since last check8 no change since last check
Trust Flow (Majestic)05
Citation Flow (Majestic)2220
Referring domains (Majestic)2224

5 details filled in for both companies.

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