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dsh-jev

Jev-powered decision layer for DeepSeek Harness

Details

External ID
1376577535
Source
GITHUB
Company
—
Product
dsh-jev
Website domain
github.com
Launched
Sept. 19, 2026
Cohort
—
Upvotes
18
Upvotes percentile
0.5655905713553676
Tags
agent-harness, dsh-plugin, jev, typesafe-ai, typescript
Fetched at
Sept. 23, 2026, 5:02 p.m.
Updated at
Sept. 23, 2026, 5:02 p.m.

Enrichment

Theme
DeepSeek harness plugins and tooling
Vertical
Horizontal
Function
Workflow automation
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
decision layer integration for deepseek harness using jev
Manually corrected
False

Could you build this?

Partial The orchestration harness and agent UI are straightforward to vibe-code, but implementing calibrated semantic branch evaluation from shared prefixes requires specialized model decoding knowledge.

What it would actually take: A production version requires an orchestration service in Python interfacing with DeepSeek model inference backends and managing dynamic KV cache reuse. The hard part is implementing efficient logit extraction and branch calibration over high-cardinality candidate tokens without incurring multiple full forward passes. This requires machine learning engineers familiar with KV cache mechanics, constrained generation, and token log-probability normalization.

Competitors

Other products that read as similar to this one — 1196 launches clear the similarity bar, closest 8 shown.

Attention rank: #511 of 1197 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 323 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a workflow automation tool for Real estate yet.