AutoGen Context Carryover 🔥 Pass Memory Between AI Agents (Step-by-Step Pipeline)

This tutorial demonstrates how to implement context carryover and memory passing between AI agents in AutoGen, enabling intelligent multi-agent pipelines where information flows seamlessly from one agent to another. The step-by-step approach shows how to structure agents to maintain conversation history and shared context, allowing downstream agents to leverage insights from upstream processing. This capability is essential for building complex workflows where agents need to build upon each other's work and decisions.

Key Points

• •Implement context carryover by passing conversation history and extracted information between sequential agents
• •Use AutoGen's GroupChat or nested agent structures to enable multi-agent communication with shared memory
• •Store and retrieve agent outputs as context variables that subsequent agents can access and process
• •Design agent prompts to explicitly reference previous agent outputs and maintain conversation continuity
• •Implement state management patterns to track what information has been processed and what remains
• •Use message formatting and structured outputs to ensure context is machine-readable for downstream agents
• •Test context flow by validating that each agent receives and correctly interprets previous agent outputs
• •Optimize token usage by summarizing context before passing to prevent context window overflow

Workflow Diagram

Concepts