If you use Claude Desktop, Cursor, or OpenCode, you know the daily struggle: every new session is a blank slate. Standard RAG solutions treat memory as flat vector chunks, which makes them fundamentally time-blind.
To solve this, I built Synapse 4D, an open-source local-first cognitive memory engine that acts as a permanent hippocampus for AI agents.
Core Architecture
- D1 Focus: Working memory buffer with strict token management.
- D2 Distiller: Extracts atomic facts and resolves contradictions.
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D3 Chronos: Bi-temporal SQLite database (
valid_from,valid_to) with Hebbian recency decay. - D4 Mesh: Reciprocal graph ensuring zero orphan stubs.
🧠 Permanent AI Memory: Integrates natively with Claude Desktop & Cursor via MCP.
⏳ Bi-temporal Tracking: Resolves contradictory facts without erasing historical context.
🔒 100% Local & Private: Pure SQLite + ONNX embeddings. Zero cloud APIs, zero telemetry, zero PyTorch bloat.
Check the open-source repository on GitHub:
👉 https://github.com/MShesat/SYNAPSE-4D
For those interested in a visual 3D neural graph HUD and a Windows installer, I also packaged a Pro Edition:
👉 https://synapse4d.lemonsqueezy.com/buy
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