Show HN: SynapCores – AI-native database (vector, graph, SQL, AutoML, LLM)
SynapCores has launched an AI-native database that integrates graph traversal, vector similarity, and LLM inference into a single execution engine. The Community Edition is free and allows users to run AI-augmented queries in about 30 seconds. This database aims to simplify complex queries by unifying multiple workloads into one statement.
- ▪SynapCores combines graph traversal, vector similarity, and LLM inference into a single execution engine.
- ▪The Community Edition is free and production-ready, allowing users to execute AI-augmented queries quickly.
- ▪Users can access 148 ready-to-run recipes to experiment with various functionalities of the database.
Opening excerpt (first ~120 words) tap to expand
New — Native MCP + OpenClaw long-term memoryGraph + Vector + LLM + MCP. One database. One query.Free, single-binary install. Production-ready Community Edition. ~30 seconds to your first AI-augmented query.$curl -fsSL https://get.synapcores.com | shWant to see it run first?Watch the 5 live demosPrefer a packaged installer?All download options★ 5 LIVE DEMOS★ 161 READY-TO-RUN RECIPES★ NATIVE MCP★ OPENCLAW MEMORY★ MACOS + LINUX + DOCKER★ OPEN COMMUNITY EDITIONOne query. Three systems other databases need.SynapCores unifies graph traversal, vector similarity, and LLM inference into a single execution engine.GraphVectorIn-DB MLsynapcores · cypherone engine> ▋Same engine, three workloads — graph, vectors, and ML — each in one statement.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at SynapCores.
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