TiDB Xv1.0.0

Support bots store customer interaction histories, resolutions, and preferences in a durable SQL database. This enables consistent service across sessions, allows agents to reference past issues, and supports tagging for quick retrieval of relevant cases. The multi-tenant isolation ensures each customer's data remains separate and secure.

Coding agents maintain append-only session logs of tool calls, observations, and decisions during software development tasks. This allows resuming complex coding sessions after crashes, auditing the reasoning behind code changes, and tracking token usage across steps. The SQL queries enable filtering by step type and session for efficient context reloading.

Medical AI agents record diagnostic decisions with full reasoning trails, guideline references, and confidence scores for regulatory compliance and auditability. Healthcare providers can query decision histories by patient, review the evidence behind recommendations, and maintain provable adherence to medical protocols. The structured storage supports both real-time queries and historical analysis.

Research agents working in parallel use atomic task queues to prevent duplicate work on data enrichment, analysis, or content generation. Each agent claims tasks exclusively, updates status, and stores outputs in a shared database. This enables scalable coordination across distributed AI systems while maintaining data consistency and progress tracking.

AI agents monitor and index blockchain events, transactions, and smart contract interactions into queryable SQL tables. This enables real-time analytics, pattern detection across decentralized networks, and historical querying of on-chain data. The elastic scaling handles bursty blockchain activity while maintaining durable storage in object storage.

Charge customers based on Request Units (RU) consumed by their SQL queries, with no costs for idle instances. This aligns pricing directly with usage, making it cost-effective for bursty AI workloads. Free tiers attract developers, while enterprise plans offer volume discounts and advanced features like dedicated compute.

Offer instant free instances through TiDB Cloud Zero with no sign-up, converting users to permanent free Starter tiers via claim URLs. Monetize through upsells to paid plans with higher limits, support, and advanced features. This model builds developer adoption while generating revenue from scaling teams and production deployments.

Integrate TiDB X as the default state layer for AI agent platforms, frameworks, and toolchains. Partner with AI development companies to offer bundled solutions, taking a revenue share or licensing fee. This leverages the growing ecosystem of AI agent development while providing a specialized database optimized for agent workloads.