DAISIDB
A database built for a world where applications and AI agents both need durable memory — documents and tables in one place, with history you can actually use.
AI Agents Forget
Every new chat session starts blank. Decisions, facts, and context from last week vanish. Different tools don't share what they learned. Teams end up re-explaining the same background over and over — or pasting notes into tools that still can't truly remember.
DaisiDb is designed to be the local memory agents and apps can share — so what matters survives across sessions, across tools, and across time.
Remember once
Facts, decisions, and session history stay put for the next conversation.
Share across tools
One memory agents can all use — instead of a silo per product.
Ask about the past
Look up what was known last month — not just what is true today.
One Place for Both Shapes
Most stacks force a choice: a document store or a relational database — or two products that never quite fit. DaisiDb treats a document and a row as first-class peers, so product data and free-form knowledge live in the same system.
That means fewer moving parts, less glue code, and a single source of truth for both humans and agents.
Why DaisiDb Matters
Memory is the missing piece of useful AI. Without it, every agent is a brilliant amnesiac — impressive in the moment, unreliable for real work.
Continuity for teams
Projects, preferences, and prior decisions stay available so people and agents pick up where they left off.
Accountability over time
When something changes, you can still see what was true before — essential for audits, disputes, and learning from mistakes.
Simpler architecture
Embed it next to your app like a local file database, or run it as a shared service — without splitting your world into two data products.
Built for Real Work
Whether you're shipping a product that needs reliable data, or building AI assistants that must stay consistent day after day, DaisiDb is meant to be the foundation that doesn't forget.
- Product teams who want documents and relational data without two systems
- AI builders who need agents to share durable memory
- Operators who care about history, restore, and control of their own data
Coming soon
DaisiDb is in active development. Talk with us about early access, design partners, or how durable agent memory could fit your stack.
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