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YantrikDB – Persistent Memory for AI Agents

YantrikDB is an embedded memory engine for AI agents that goes beyond simple retrieval. It combines vector, graph, temporal, and decay indexes with cognitive operations like record, recall, think, and conflict detection. It uses a decoupled write path and CRDT-based sync to provide local-first, scalable memory that fits in under 100 tokens per query, even with thousands of memories.

SourceHacker News AIAuthor: pranabsarkar
YantrikDB – Persistent Memory for AI Agents
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Key points and analysis

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Key points

  • YantrikDB is an embedded, local-first memory architecture for AI, similar to SQLite but for memory. No server required.
  • It features five indexes (vector, graph, temporal, decay, key-value) for multi-signal scoring and context-aware retrieval.
  • Built-in conflict detection, semantic consolidation, and proactive triggers make memory self-optimizing over time.
  • Supports multi-device sync (CRDT) and cluster mode for distributed deployments with strong consistency.

Highlights and analysis are generated automatically and may contain errors. Check the original source.