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A replayable A2A jury for tracing how agents influence decisions

Details

External ID
49233306
Source
HN
Company
—
Product
A replayable A2A jury for tracing how agents influence decisions
Website domain
github.com
Launched
Aug. 9, 2026
Cohort
—
Upvotes
20
Upvotes percentile
0.7452956989247311
Tags
—
Fetched at
Sept. 10, 2026, 5:32 a.m.
Updated at
Sept. 10, 2026, 5:32 a.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
tracing tool for agent decision-making
Manually corrected
False

Could you build this?

Yes Creating a replayable agent-to-agent deliberation simulator with logged state transitions and decision tracing is easily achievable with standard LLM APIs and modern front-end state management.

Discussion

1 comment analyzed.

Competitors mentioned: Ollama, OpenAI, Anthropic, Gemini

Concerns raised: Offline fixture is deterministic, not evidence mesh communication improves reasoning generally, After-message change does not establish causation, Difficult to tell if agents influenced each other vs answered separate prompts

Feature requests: Benchmark how different LLMs affect group decisions, Measure vote flips and evidence grounding across model rotations

Competitors

Other products that read as similar to this one — 1499 launches clear the similarity bar, closest 8 shown.

Attention rank: #306 of 1500 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 282 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.