io.github.ayushagrawal288/memex

MCPcommunity
v0.1.0io.github.ayushagrawal288UnknownUpdated 29d agoGitHub

Persistent memory for AI agents — semantic + recency search, ONNX embeddings, Docker Compose.

A production-grade persistent memory service for AI agents. Agents forget everything between sessions by default — memex fixes that. It stores, retrieves, and ranks conversation memory using semantic search with recency decay, so agents surface what's relevant and recent, not just what's semantically closest. Write path: content → fastembed ONNX inference (local, ~12 ms CPU, ) → INSERT with…

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29d agoLast update
Package
Authorio.github.ayushagrawal288
LicenseUnknown
Version0.1.0
Sourcemcp-registry
Trust Status
B
60/100Good
Listed in Forge index+10/10
Publisher identity verified+0/25
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StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain
Provenance
DependenciesNot audited
Tool surface
Security scan✓ CleanvHEAD · 19d ago
EvalsNone
IndexedJun 13, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts — it cannot prove the absence of malicious code.

About

A production-grade persistent memory service for AI agents. Agents forget everything between sessions by default — memex fixes that. It stores, retrieves, and ranks conversation memory using semantic search with recency decay, so agents surface what's relevant and recent, not just what's semantically closest. Write path: content → fastembed ONNX inference (local, ~12 ms CPU, ) → INSERT with 384-dim vector → return memory ID. Read path: query → embed → pgvector cosine search (topk × 3…

Keywords
mcp