The Database Built for Agentic Workloads
Agent systems create bursts of isolated work, memory, and state that traditional databases were not designed to handle. TiDB supports branching, durable state, and concurrency for agents operating independently at scale.
Purpose-Built for Agentic Scale
Designed to keep branching, state, and transactional consistency together as agents operate across multiple tasks and sessions.
Instant Branching
Durable Agent State
Concurrent Execution at Scale
Proven at Scale
Leading AI teams use TiDB to power stateful agent systems.
Manus
Scaled autonomous agent orchestration with instant branching for parallel task execution.
Dify
Built end-to-end agent workflows with persistent state management across complex multi-step operations.
Rengage
Deployed concurrent agent sessions with ACID guarantees for reliable state tracking.
Build, Test, and Scale Agent Systems
Explore practical examples, runnable demos, and developer resources for building stateful agent workflows on TiDB.
Instant isolated environments for parallel agent execution
- Create branches in milliseconds without data duplication
- Run independent agent sessions simultaneously
- Merge changes back safely with conflict resolution
- Full ACID transactions within each branch
Common Agentic Patterns
Practical code examples and architectural patterns for agent systems on TiDB.
Branch-per-Agent Pattern
Map independent agent tasks to isolated branches for parallel execution without interference.
Stateful Workflow Tracking
Persist tool outputs and decisions across steps with queryable workflow history.
Multi-Agent Coordination
Patterns for multiple agents writing safely to shared systems with strong consistency.