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agentagon

Evidence-backed audits, evaluations, and measured improvements for any AI agent.

Details

External ID
1364395402
Source
GITHUB
Company
—
Product
agentagon
Website domain
agentagon.ai
Launched
Sept. 10, 2026
Cohort
—
Upvotes
9
Upvotes percentile
0.21822956699974377
Tags
agent-evaluation, ai-agents, claude-code, codex, developer-tools, python
Fetched at
Sept. 14, 2026, 5:29 p.m.
Updated at
Sept. 14, 2026, 5:29 p.m.

Enrichment

Theme
ai agent infrastructure and tooling
Vertical
Horizontal
Function
Observability & eval
Audience
Developer
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
auditing and evaluation platform for ai agents
Manually corrected
False

Could you build this?

Partial A basic dashboard tracking agent inputs and outputs is easy to build, but automated, evidence-backed evaluation, benchmark harnesses, security auditing, and latency/regression tracking require sophisticated eval methodologies.

What it would actually take: The architecture requires an instrumentation SDK (OpenTelemetry-based), a scalable event-streaming pipeline (Kafka/ClickHouse) to handle high-cardinality agent traces, and synthetic evaluation runners. The hard part is building reliable deterministic evaluators, red-teaming/security fuzzers, and statistical regression detection algorithms that don't rely solely on noisy LLM-as-a-judge heuristics. Requires senior MLOps and distributed data engineering experience.

Competitors

Other products that read as similar to this one — 2437 launches clear the similarity bar, closest 8 shown.

Attention rank: #1752 of 2438 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 316 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a observability & eval tool for Media & entertainment yet.