jev_project_context
Evidence-first long-term experiment memory skill for AI coding agents, with optional Jev decision-model layers
Details
- External ID
- 1380789081
- Source
- GITHUB
- Company
- —
- Product
- jev_project_context
- Website domain
- github.com
- Launched
- Sept. 22, 2026
- Cohort
- —
- Upvotes
- 9
- Upvotes percentile
- 0.21822956699974377
- Tags
- agent-skills, ai-agents, claude-code, claude-skills, evidence, experiment-tracking, jev, jev-ai, jev-api, llm, research, skills, typesafe
- Fetched at
- Sept. 26, 2026, 6:21 p.m.
- Updated at
- Sept. 26, 2026, 6:21 p.m.
Enrichment
- Theme
- AI coding agents and developer tools
- Vertical
- Horizontal
- Function
- Dev tools
- Audience
- Developer
- AI stance
- AI-native
- Project type
- Hobby / open-source project
- Normalized one-liner
- long-term experiment memory skill for ai coding agents
- Manually corrected
- False
Could you build this?
Yes This is an MCP or coding agent skill/prompt-layer module for tracking long-term context in files or a local database, easily implemented via standard agent workflows.
Competitors
Other products that read as similar to this one — 2066 launches clear the similarity bar, closest 8 shown.
Attention rank: #1483 of 2067 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 328 days after the earliest competitor.
- A memory learning layer for AI agents to learn on the job · hn · 2026-01-23 · 6 upvotes · similarity 0.75
- Komi-learn · hn · 2026-05-31 · 27 upvotes · similarity 0.74
- Friday · hn · 2026-09-16 · 9 upvotes · similarity 0.73
- alice_skill · github · 2026-09-23 · 26 upvotes · similarity 0.72
- Hebbs · hn · 2026-03-09 · 6 upvotes · similarity 0.70
- jev-superpowers · github · 2026-09-18 · 14 upvotes · similarity 0.70
- A framework that makes your AI coding agent learn from every session · hn · 2026-02-10 · 8 upvotes · similarity 0.70
- Unspaghettit · hn · 2026-05-27 · 5 upvotes · similarity 0.70
Other launches for this product
- No other launches for this product.
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