convex-agents

Build persistent AI agents by leveraging a Convex-based architecture that maintains state across restarts. This enables durable workflows, continuous thread management, and stateful dialogue for complex, long-running AI tasks without losing conversation history.

Stream real-time AI agent responses directly to clients using Convex. The architecture supports continuous streaming outputs alongside tool execution, allowing interactive AI systems to deliver immediate, incremental feedback during complex task orchestration.

Integrate tool execution and RAG retrieval into AI agent workflows by orchestrating function calls within a Convex architecture. This supports tool automation, RAG-based knowledge retrieval for informed decision making, and modular execution of complex agent tasks.

Manage conversational threads for stateful AI agents through built-in thread management within a Convex architecture. This handles persistent state, ensuring continuous dialogue context and durable workflow orchestration across multiple long-running chat sessions.

Convex supports durable workflows for orchestrating complex agent tasks through modular state management. This ensures persistent task execution, tool integration, and workflow coordination survive system restarts for reliable AI agent automation.

AI agents lose conversation history after restarts if they lack persistent state architecture. Using a Convex-based approach ensures durable thread management and stateful dialogue, maintaining continuous conversation context and workflow progress across system restarts.