How are you all handling session bloat and state handoff between agents?

Reddit r/AI_Agents News

Summary

A user discusses the challenge of session bloat and state handoff in multi-agent workflows, seeking advice on solutions like state summarization, external databases, or frameworks such as LangGraph and AutoGen.

Hey everyone, As I've been scaling up my multi-agent workflows, I keep running into a frustrating bottleneck: session state management. When a conversation goes on for too long, or when an agent is processing complex tasks, the session state (and context window) just explodes. It becomes super expensive and latency goes through the roof. My main challenge right now is the handoff process. When a session gets too bloated and I need to pass the context to another specialised agent or a fresh session, what is the cleanest way to do this without losing critical context? I’m curious about your real-world setups: Are you summarising the state before handoff? Relying entirely on external DBs (like Redis, Postgres, or Vector DBs) to reconstruct state? Using frameworks like LangGraph or AutoGen to manage the routing and memory? Would love to hear how you guys are solving this in production!
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