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hermes-and-jev-play-minecraft

Hermes Agent plans, Jev (TypeSafe) picks bounded actions, Mineflayer executes: Minecraft with no screenshots or keypresses from a model. Includes the reproduction of rmalde/minecraft-agent's Ender Dragon run.

Details

External ID
1378940814
Source
GITHUB
Company
—
Product
hermes-and-jev-play-minecraft
Website domain
github.com
Launched
Sept. 21, 2026
Cohort
—
Upvotes
8
Upvotes percentile
0.14514476044068664
Tags
—
Fetched at
Sept. 25, 2026, 1:03 a.m.
Updated at
Sept. 25, 2026, 1:03 a.m.

Enrichment

Theme
local AI inference and runtimes
Vertical
Media & entertainment
Function
Agent / copilot
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
autonomous ai agent framework for playing minecraft
Manually corrected
False

Could you build this?

Partial While connecting an LLM to Mineflayer via standard agent frameworks is achievable, coordinating reliable multi-step planning to defeat Minecraft's Ender Dragon requires complex prompting, error recovery, and robust state-space handling.

What it would actually take: The architecture pairs an LLM planner (Hermes) with a structured type-safe schema validator (Jev) and Mineflayer's bot API over Node.js. The primary challenge is maintaining state awareness, dynamic pathfinding failure recovery, and inventory management in continuous 3D space without visual input. Success requires extensive trial-and-error scaffolding, domain-specific state representations, and robust hierarchical action trees.

Competitors

Other products that read as similar to this one — 147 launches clear the similarity bar, closest 8 shown.

Attention rank: #141 of 148 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 245 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a agent / copilot tool for Agriculture yet.