jev-recall
Retrieve by relevance, not resemblance: filter an AI assistant's memories with TypeSafe's Jev
Get picks like this daily. Today's launch numbers, the top launches, AI and tech news, and a daily opportunity pick, straight to your inbox.
Want to reach these readers? Sponsor an issue.
GITHUB · launched Sep 19, 2026 · 33 upvotes (top 25%) · 0 views
Niche: ai agent memory infrastructure · 350 launches, 11 in the last 7 days ▼ -58% · Explore this niche →
Category and tags
- Horizontal
- Search & retrieval
- Developer
- AI-native
- Commercial product
- ai-agents
- embeddings
- llm
- memory
- nextjs
- rag
- +2 more
Visit website ↗ Source listing ↗
More like this: all 350 launches in ai agent memory infrastructure →
Could you build this?
Yes This is an AI memory retrieval filter that wraps an LLM call to score or filter context memories based on relevance prompts rather than vector embeddings.
Competitors
Other products that read as similar to this one : 3004 launches clear the similarity bar, closest 8 shown.
Attention rank: #731 of 3005 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 325 days after the earliest competitor.
- Lossless-memory · hn · 2026-09-21 · 67 upvotes · similarity 0.67
- awesome-jev · github · 2026-09-18 · 75 upvotes · similarity 0.66
- Jev-Mem · github · 2026-09-20 · 72 upvotes · similarity 0.65
- gitmemory · github · 2026-09-28 · 14 upvotes · similarity 0.64
- jev-mcp · github · 2026-09-17 · 218 upvotes · similarity 0.64
- jev_project_context · github · 2026-09-22 · 9 upvotes · similarity 0.64
- Mnemosyne · hn · 2026-02-24 · 5 upvotes · similarity 0.63
- A memory learning layer for AI agents to learn on the job · hn · 2026-01-23 · 6 upvotes · similarity 0.63
The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.