convex-agents

Persistent AI agents maintain conversation history across sessions and devices by leveraging stateful backend environments. Convex Agents provide thread management and durable storage, ensuring context survives restarts for continuous chat and automation workflows.

Streaming AI responses deliver tokens to clients immediately as the model produces them. Convex Agents enable real-time output streaming directly within chat workflows, reducing latency and improving user experience for interactive applications.

Convex functions can be defined and integrated as executable tools for AI agents. This allows agents to orchestrate complex operations, trigger background workflows, and coordinate long-running tasks directly within the Convex environment.

Retrieval augmented generation in a stateful backend combines vector search with conversation history to provide contextual answers. Convex Agents integrate vector search capabilities, enabling knowledge retrieval and contextual responses within persistent threads.

Managing long-running tasks requires durable workflow orchestration that maintains state during execution. Convex Agents coordinate durable workflows, allowing AI automations to execute reliably across extended periods without losing progress or context.

Building customer support agents with background action capabilities requires persistent context and tool orchestration. Convex Agents support this by preserving conversation history, suggesting actions, and triggering durable workflows for automated resolution.