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Jev-Mem

Jev-Mem: System-One Controlled Agentic Memory

Details

External ID
1377956199
Source
GITHUB
Company
—
Product
Jev-Mem
Website domain
github.com
Launched
Sept. 20, 2026
Cohort
—
Upvotes
72
Upvotes percentile
0.8895080707148347
Tags
agent, agent-memory, agentic-ai, agentic-memory, agents, jev, jev-ai, llm
Fetched at
Sept. 24, 2026, 5:02 p.m.
Updated at
Sept. 24, 2026, 5:02 p.m.

Enrichment

Theme
decision model runtimes and tools
Vertical
Horizontal
Function
Model & infra
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
system-one controlled agentic memory architecture
Manually corrected
False

Could you build this?

Partial The agent memory scaffolding and vector storage can be built quickly, but integrating a specialized fast heuristic controller (System-One) requires algorithmic design and memory eviction tuning.

What it would actually take: The system requires a hybrid architecture pairing a vector database (e.g., Qdrant or Milvus) with a fast, low-latency classifier/scorer for memory consolidation and pruning. The hard part is the algorithmic policy that accurately decides which episodic memories to discard or consolidate without degrading context quality, requiring knowledge in cognitive architectures and LLM agent memory research.

Competitors

Other products that read as similar to this one — 2193 launches clear the similarity bar, closest 8 shown.

Attention rank: #253 of 2194 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 326 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a model & infra tool for Fintech yet.