FlashQuery ships open-source MCP data layer
FlashQuery is the open-source follow-up to the original “apps may dissolve” post: a local-first, persistent data layer for AI workflows that sits between MCP-capable clients like Claude, Cursor, and ChatGPT and the user’s own memories, documents, and relational data. The repo positions it as “Obsidian for AI workflows,” with searchable memory, markdown vault support, Supabase-backed structured data, and automated logging across interactions. The update emphasizes that the project is now live on GitHub and is being tested through unit, integration, e2e, and scenario coverage.
FlashQuery looks like infrastructure, not an app replacement in the old sense: it tries to become the durable substrate AI agents talk to, while the front-end interface stays fluid.
- –The core bet is that AI clients become the UI, while persistent user-owned data lives in a separate layer.
- –Its MCP-first design is the practical wedge: any compatible assistant can connect without bespoke integrations.
- –The release story is credible for builders because it ships with a strong testing narrative and a day-to-day dogfooding claim.
- –The most interesting product angle is not “chat with your data,” but “make AI interactions stateful, auditable, and portable.”
DISCOVERED
45d ago
2026-04-25
PUBLISHED
45d ago
2026-04-24
RELEVANCE
AUTHOR
jetstros