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Guide ยท 2 min read

How to keep context in sync between AI agents

Why does context drift between agents?

Every agent has its own context window. The moment you have two, you have two versions of the truth. Drift starts small: a subagent learns the customer is on a legacy plan and summarizes it as "customer eligible for upgrade." The lead plans an upgrade. Nobody lied; the reason got compressed out.

Actions carry implicit decisions, and conflicting decisions carry bad results.
Source: Cognition, Don't Build Multi-Agents, Jun 2025

Anthropic adds the structural warning: work that requires "all agents to share the same context" remains hard for multi-agent systems. (Anthropic)

What context should agents share?

Decisions and reasons ("chose plan B because the customer is on the legacy contract"). Constraints discovered along the way (rate limits, missing permissions, a deadline). Ownership (who is doing what now, who is next). Open questions (what nobody has answered yet).

Not everything else. Raw tool output, internal scratch reasoning and secrets usually stay with the agent that produced them. A2A was designed so agents can collaborate "without needing to share internal memory, tools, or proprietary logic." (A2A)

What are the seven rules for keeping context in sync?

  1. One owner per fact. If two agents can write the same field, decide which one wins before it happens.
  2. Write the why. Every decision recorded in shared state carries a one-line reason.
  3. Read before you act. Before a long action, re-read the shared facts it depends on; long tasks are where stale reads happen.
  4. Scope visibility. Personal, team and global scopes, so agents see what they need and nothing that leaks.
  5. Pass traces at handoffs, not just summaries (see the handoff guide).
  6. Version shared state. Checkpoints let you replay how a wrong fact got in.
  7. Make ownership visible to humans. If a person cannot tell who is working on what, neither can your agents.

How do the tools handle shared context?

ToolShared context mechanismScope
LangGraphShared graph state with checkpointsInside one graph
Microsoft Agent FrameworkGroup Chat shared conversation; checkpointingInside one workflow
CrewAICrew and Flow stateInside one crew or flow
A2AMessages and artifacts between opaque agents; no shared memory by designAcross frameworks, point to point
BANDRooms plus cross-agent Memories; three-tier isolation (personal, org, global)Across frameworks, with humans

Where does BAND fit in keeping context in sync?

When agents come from different frameworks, there is no shared state object to lean on. BAND gives them one: rooms where history persists, Memories that carry context across agents, and isolation tiers that control who sees what. Humans in the room can inspect and correct a fact before it spreads.

Get started with BAND

What do people ask about keeping context in sync?

Shared context is the set of facts, decisions and ownership that several agents need to act consistently. It can live in a shared state object, a memory service, or a collaboration layer such as BAND.

Either pass it explicitly over A2A messages or connect the agents to a collaboration layer such as BAND, where rooms and Memories hold shared context for all participants.

No. Share decisions, constraints, ownership and open questions; keep raw tool output and secrets scoped to the agent that needs them.

Not sure which pattern fits?

Six questions, about a minute. You'll get a pattern, a shortlist and the tradeoffs.

Take the finderTry BAND

Last reviewed: September 2026