zer0dex is a local dual-layer memory pattern for AI agents: a compressed, human-readable markdown index plus a vector store queried automatically before each message. Built for cross-project recall and cross-reference where flat memory files or vector-only RAG fall short. Local-first, low-latency. Reference implementation by Hermes Labs.
persistent-memory ai-agents rag vector-search local-first semantic-memory llm llm-memory ai-memory agent-memory claude-code ai-reliability hermes-labs dual-layer-memory
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Updated
Jun 13, 2026 - Python