AI/ML●Mid
Magma Memory Claude Browser cloaking tool
Local AI memory with REM compression, but gated behind a contact form.
Bold BetSlick
vektormemory
202mo ago
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I made an open-source memory layer for agents
by MarsB·May 22, 2026·8 points·0 comments
AI Analysis
●●SolidSolve My ProblemShip It
Graph memory with auto-extraction beats simple vector stores for context.
Strengths
- •Neo4j-backed graph storage enables relationship traversal, not just keyword matching.
- •Built-in Qwen2.5 pipeline auto-extracts entities and links memories without manual tagging.
- •Dual deployment: self-hosted Docker for control or managed cloud for quick setup.
Weaknesses
- •Competes directly with established players like Mem0, LangMem, and Zep in a crowded space.
- •Reliance on a specific 7B model for extraction may limit customization for advanced users.
Category
Target Audience
Developers building stateful AI agents or LLM applications
Similar To
Mem0 · Zep · LangMem
Post Description
Store memories, auto-extract entities and relationships, search semantically.
MCP server + REST API + SDKs.
Self-hostable, cloud option, MIT license.
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