Argus
Open-source AI code review that learns from your team
Details
- External ID
- 1257485
- Source
- PH
- Company
- —
- Product
- Argus
- Website domain
- producthunt.com
- Launched
- Sept. 22, 2026
- Cohort
- —
- Upvotes
- 2
- Upvotes percentile
- 0.7405388069275176
- Tags
- Developer Tools, Artificial Intelligence, GitHub
- Fetched at
- Sept. 23, 2026, 1:01 a.m.
- Updated at
- Sept. 23, 2026, 1:01 a.m.
Description
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.
Enrichment
- Theme
- AI agent frameworks and developer tools
- Vertical
- Horizontal
- Function
- Dev tools
- Audience
- Developer
- AI stance
- AI-native
- Project type
- Hobby / open-source project
- Normalized one-liner
- open-source ai code reviewer for engineering teams
- Manually corrected
- False
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 — 197 launches clear the similarity bar, closest 8 shown.
Attention rank: #53 of 198 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 325 days after the earliest competitor.
- Multi-Agent Code Review · hn · 2025-11-04 · 5 upvotes · similarity 0.52
- Claude Code Review · ph · 2026-03-10 · 539 upvotes · similarity 0.49
- Ming — Review AI-Written Code · ph · 2026-09-27 · 1 upvotes · similarity 0.46
- Autofix Bot · hn · 2025-12-11 · 37 upvotes · similarity 0.46
- Critic · hn · 2026-09-24 · 8 upvotes · similarity 0.46
- Octopus Review · ph · 2026-09-25 · 1 upvotes · similarity 0.44
- Mira · hn · 2026-06-17 · 15 upvotes · similarity 0.44
- easyspecs.ai · ph · 2026-09-11 · 153 upvotes · similarity 0.44
Other launches for this product
- No other launches for this product.
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