convex-agents

Build stateful AI agents by using a framework that provides persistent state and conversation history, ensuring context survives session restarts. This approach manages extended conversations and durable workflows without bespoke state scaffolding.

Threaded conversations and multi-agent workflows are managed through a stateful framework that coordinates multi-step processes. It provides durable workflows and thread management to orchestrate complex tasks across extended interactions.

Integrate external tools and retrieval-augmented generation by using an agent framework with built-in tool integration and RAG support. This allows agents to fetch data, execute actions, and access knowledge during reasoning.

Yes, you can stream real-time AI agent responses while managing durable workflows. The framework supports real-time streaming for interactive experiences alongside persistent state for coordinating long-running tasks.

You need a backend platform that supports durable execution and stateful workflows to run persistent agents. The framework relies on a stateful backend component to manage conversation history and coordinate multi-step processes reliably.

AI agents lose conversation history when the session restarts if they lack persistent state management. A stateful agent framework with durable workflows ensures conversation context and history survive restarts automatically.