io.github.turbyho/mem-context

MCPcommunity
v0.1.4io.github.turbyhoUnknownUpdated 23d agoGitHub

Temporal memory MCP server with LanceDB vector search, weight-decay scoring, and LLM consolidation

Full-text search over past AI assistant sessions. Uses SQLite FTS5 with trigram tokenizer + dual-pass CZ/EN query translation via Ollama. Stores complete session texts, syncs via git shared repo across machines. AI assistants lose context between sessions. mem-context stores complete session transcripts in SQLite FTS5 and retrieves relevant past context using full-text search with BM25 ranking +…

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23d agoLast update
Package
Authorio.github.turbyho
LicenseUnknown
Version0.1.4
Sourcemcp-registry
Trust Status
B
60/100Good
Listed in Forge index+10/10
Publisher identity verified+0/25
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CVE scan · clean+30/30
Static analysis · clean+20/20
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Publish from GitHub Actions with the --provenance flag
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StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain
Provenance
DependenciesNot audited
Tool surface
Security scan✓ Cleanv0.1.12 · 19d ago
EvalsNone
IndexedJun 13, 2026

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About

Full-text search over past AI assistant sessions. Uses SQLite FTS5 with trigram tokenizer + dual-pass CZ/EN query translation via Ollama. Stores complete session texts, syncs via git shared repo across machines. AI assistants lose context between sessions. mem-context stores complete session transcripts in SQLite FTS5 and retrieves relevant past context using full-text search with BM25 ranking + vector re-rank. No lossy LLM extraction — search operates on primary data. FTS5 full-text search —…

Keywords
mcp