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ARGUS
Catch Silent Failures in your AI Agent Pipelines
AI agents don't fail loudly. They fail quietly.A node returns success. Passes corrupted data downstream. Wrong outputs. No error. No warning. You find out when a user complains. ARGUS fixes this. Catches silent failures the moment they happen — not four steps later. → Silent failure detection at every node boundary → Root cause tracing — exact node, exact field → Deterministic replay from any node LangGraph today. CrewAI + Google ADK coming next.
Hey PH 👋 I'm Varad — 20, engineering student, built ARGUS because I lost 6 hours debugging a pipeline that never threw a single error.
The node succeeded. The data was wrong. Four steps later — garbage output.LangSmith showed green the whole time.
That's the problem nobody talks about. AI agents don't crash. They quietly lie.
ARGUS sits at every node boundary and catches it the moment it happens. Wrong field, missing data, type mismatch: right there, not after your user notices.
What makes it different from LangSmith/Langfuse:
Those show you traces. ARGUS validates whether what each node produced was actually correct.
Different layer entirely.
Also built deterministic replay — freeze the LLM responses from a failed run, re-execute from any specific node without burning API costs again. This one alone has saved hours.
Open source, AGPL, free forever for core features.
Would love brutal feedback — especially if you've hit this problem yourself. And if you
find something broken, tell me directly. I'll fix it same day.
If you want to follow the build and talk directly : https://discord.gg/dMWU3r92e2
About ARGUS on Product Hunt
“Catch Silent Failures in your AI Agent Pipelines”
ARGUS was submitted on Product Hunt and earned 12 upvotes and 1 comments, placing #45 on the daily leaderboard. AI agents don't fail loudly. They fail quietly.A node returns success. Passes corrupted data downstream. Wrong outputs. No error. No warning. You find out when a user complains. ARGUS fixes this. Catches silent failures the moment they happen — not four steps later. → Silent failure detection at every node boundary → Root cause tracing — exact node, exact field → Deterministic replay from any node LangGraph today. CrewAI + Google ADK coming next.
On the analytics side, ARGUS competes within Open Source, Developer Tools and Artificial Intelligence — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how ARGUS performed against the three products that launched closest to it on the same day.
Who hunted ARGUS?
ARGUS was hunted by Varad Durge. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of ARGUS including community comment highlights and product details, visit the product overview.
Varad Durge