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Persistent memory for AI coding agents over MCP. NeuralMind indexes a codebase into a weighted code graph, learns which files belong together from real usage, and returns compressed, ranked context — 12-50× per-query token reduction. Local-first: no telemetry, no repository content transmitted (one outbound call: a one-time public embedding-model download, pre-seedable for air-gapped installs). Point Agent Zero's MCP config at neuralmind-mcp to share one learned memory across sessions.
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NeuralMind — Persistent Codebase Memory
Persistent memory for AI coding agents over MCP. NeuralMind indexes a codebase into a weighted code graph, learns which files belong together from real usage, and returns compressed, ranked context — 12-50× per-query token reduction. Local-first: no telemetry, no repository content transmitted (one outbound call: a one-time public embedding-model download, pre-seedable for air-gapped installs). Point Agent Zero's MCP config at
neuralmind-mcpto share one learned memory across sessions.Quick links
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