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Argus

Open-source AI code review that learns from your team

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Argus reviews GitHub pull requests with specialist agents for bugs, security, architecture, and regressions. It adjusts review depth to each change and asks every finding to explain a concrete failure and a fix. Team feedback and past fixes become memory for future reviews. See which checks ran and what each review cost. Open source under AGPL-3.0, self-hostable, and bring your own LLM key.

PH · launched Sep 22, 2026 · 2 upvotes (top 26%) · 0 views

Niche: automated code review tools · 204 launches, 7 in the last 7 days ▼ -22% · Explore this niche →

Category and tags

  • Horizontal
  • Dev tools
  • Developer
  • AI-native
  • Hobby / open-source project
  • Developer Tools
  • Artificial Intelligence
  • GitHub

Visit website ↗ Source listing ↗

Could you build this?

Partial A basic GitHub PR webhook that triggers an LLM review is simple, but building multi-file AST dependency graphs, multi-agent regression simulation, and persistent repo-specific AST/vector memory requires sophisticated static analysis tooling.

What it would actually take: Requires a GitHub App integration ingesting PR webhooks, using Tree-sitter or LSP engines to parse codebase syntax trees and trace call graphs across dependencies. The hard part is building an execution harness or symbolic runner to simulate failure cases deterministically, paired with a temporal knowledge graph that correlates historical commits, pull requests, and regression post-mortems.

Competitors

Other products that read as similar to this one : 597 launches clear the similarity bar, closest 8 shown.

Attention rank: #225 of 598 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 325 days after the earliest competitor.

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.