Jev-Mem
Jev-Mem: System-One Controlled Agentic Memory
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GITHUB · launched Sep 20, 2026 · 72 upvotes (top 11%) · 0 views
Niche: ai agent memory infrastructure · 350 launches, 11 in the last 7 days ▼ -58% · Explore this niche →
Category and tags
- Horizontal
- Agent / copilot
- Developer
- AI-native
- Hobby / open-source project
- agent
- agent-memory
- agentic-ai
- agentic-memory
- agents
- jev
- +2 more
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More like this: all 350 launches in ai agent memory infrastructure →
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 : 4570 launches clear the similarity bar, closest 8 shown.
Attention rank: #516 of 4571 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 326 days after the earliest competitor.
- Memctl v0.1.0 Open source shared persistent memory for AI coding agents · hn · 2026-03-01 · 7 upvotes · similarity 0.72
- Hebbs · hn · 2026-03-09 · 6 upvotes · similarity 0.72
- Mnemosyne Local hierarchical memory engine for AI agents (MCP Native) · hn · 2026-08-23 · 10 upvotes · similarity 0.71
- RAW-RAG · github · 2026-10-20 · 17 upvotes · similarity 0.71
- We made a back end agnostic SDK for Agent Memory · hn · 2026-05-15 · 5 upvotes · similarity 0.71
- loci · github · 2026-10-01 · 26 upvotes · similarity 0.70
- MuscleMemory · hn · 2026-10-25 · 7 upvotes · similarity 0.70
- Friday · hn · 2026-09-16 · 9 upvotes · similarity 0.69
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