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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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 —…
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