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llm-multi-agent-game-evaluation

A dynamic multi-agent game framework for evaluating LLM strategic reasoning, communication-driven decision-making, deception, and social-norm behavior across RPS, Hawk-Dove, and Liars Bar environments.

Details

External ID
1383099972
Source
GITHUB
Company
—
Product
llm-multi-agent-game-evaluation
Website domain
github.com
Launched
Sept. 23, 2026
Cohort
—
Upvotes
19
Upvotes percentile
0.5840379195490648
Tags
—
Fetched at
Sept. 27, 2026, 5:02 p.m.
Updated at
Sept. 27, 2026, 5:02 p.m.

Enrichment

Theme
autonomous agent research and evaluation
Vertical
Horizontal
Function
Observability & eval
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
game-based evaluation framework for multi-agent llms
Manually corrected
False

Could you build this?

Yes This is a prompt-and-environment benchmarking harness orchestrating turn-based games (RPS, Hawk-Dove, Liars Bar) via standard LLM API calls and tracking state.

Competitors

Other products that read as similar to this one — 1170 launches clear the similarity bar, closest 8 shown.

Attention rank: #420 of 1171 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 328 days after the earliest competitor.

Other launches for this product

Same idea, different domain

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