Pass Context Between AI Agents Without Sending the Whole String

Passing context between AI agents without sending the whole string means sharing a compact reference or structured summary instead of copying a large conversation into every request. This can reduce repeated data transfer and make handoffs easier to manage, but the receiving agent still needs a reliable way to retrieve the information it needs. Before you start, choose a shared storage location that both agents can access, and decide what information each handoff must preserve.

What You’ll Need

• Two agents or agent steps that can exchange a handoff message.
• A shared store accessible to both, such as a database, document store, or application-managed key-value store.
• A stable conversation, task, or session identifier, plus permission checks so agents only read the right context.
• A defined handoff format, such as JSON, for the reference, summary, and retrieval details.

Step-by-Step

1. Decide what counts as context. List the details the next agent needs to complete its task: the user’s goal, relevant constraints, decisions already made, unresolved questions, and any source references. Do not assume that every message in the conversation is useful. Separate durable facts from temporary discussion, and identify sensitive data that should not be stored or passed along.
2. Choose a context-sharing method. For a straightforward workflow, store a structured handoff record in a shared database or document store. For large or searchable collections, use a retrieval system that can locate relevant passages using a task ID, metadata, or semantic search. A pointer alone is not enough: the receiving agent needs read access and a defined retrieval method. Avoid putting confidential content in public links or unprotected logs.
3. Create a stable identifier. Generate a unique task or context ID and associate it with the right user, session, or workflow. Pass this ID to the next agent rather than relying on a display name or an ambiguous conversation title. Use access controls and, where appropriate, an expiry time. Never let an untrusted request choose an arbitrary ID and thereby retrieve another user’s context.
4. Write a compact, structured handoff. Save a record with fields such as task_id, goal, constraints, decisions, open_questions, references, and updated_at. Keep the summary factual and concise. Preserve exact values, dates, names, and important wording when changing them could change the result. Include links or record keys for source material the next agent may need to inspect.
5. Send the pointer and retrieval instructions. The handoff message can contain the identifier, the expected record version, and a short instruction such as “Load task context, verify the goal and constraints, then continue.” Include only the minimum information needed to locate and interpret the record. Do not send a bare ID if the agent has no tool or permission to fetch it.
6. Have the receiving agent retrieve and check it. The next agent should load the record, confirm it belongs to the current task, and check whether it is complete and current. It should distinguish stored facts from summaries or assumptions. If a required field is missing, a reference is inaccessible, or the record is outdated, it should ask for clarification or fetch the original source rather than inventing details.
7. Update context as work progresses. When the agent makes a decision or learns a relevant fact, write a new version or update the record using a consistent method. Include an update time or version number so another agent can detect stale data. If multiple agents may write at once, use version checks or another conflict-handling approach instead of silently overwriting changes.
8. Test the handoff end to end. Try a realistic task with a long conversation. Check that the second agent can retrieve the correct record, understand the summary, and find source details when needed. Also test missing IDs, expired records, permission failures, and stale versions. Measure what is actually sent and retrieved; a short pointer does not help if the system then fetches the entire conversation unnecessarily.

Common Mistakes

• Sending a pointer without access: An ID or URL is useful only if the receiving agent can resolve it under the correct permissions.
• Compressing away critical details: A summary can omit exceptions, numbers, or uncertainty. Keep important exact details and cite the source record.
• Treating generated summaries as ground truth: Summaries can misstate or overlook information. Label them as summaries and retain access to the original where accuracy matters.
• Using one shared record for unrelated tasks: This can mix contexts. Scope records to a task or session and verify ownership before retrieval.
• Ignoring freshness and concurrent edits: A handoff may be outdated or overwritten. Track versions or update times and define how conflicts are handled.
• Storing everything indefinitely: Keep only what is needed, set retention rules, and avoid saving secrets or personal information without a clear need and appropriate safeguards.

Tips

• Make the handoff schema small and consistent; agents work more reliably when key fields are predictable.
• Keep an explicit “unknowns” or “open questions” field so uncertainty is not mistaken for a settled fact.
• Include source identifiers and relevant timestamps for facts that can change.
• Use retrieval to fetch only relevant passages when the context is large, and set a sensible limit on how much is returned.
• Log the context ID, version, and retrieval outcome for debugging, but avoid logging sensitive content unnecessarily.

Troubleshooting

The next agent says the context is missing. Confirm that the writer saved the record successfully, that both agents use the same storage environment, and that the ID was passed without truncation or formatting changes. Check permissions and expiry settings. Return a clear retrieval error rather than silently continuing without the context.

The agent retrieves the wrong task. Check how IDs are generated and mapped to users or sessions. Require the receiver to verify the record’s task and owner before using it. Do not fall back to searching broadly across unrelated records.

The handoff is too vague. Compare the receiver’s missing information with the schema. Add fields for essential constraints, decisions, and unresolved questions, and preserve exact source values where necessary. Ask the first agent to regenerate the handoff if the source conversation is still available.

The retrieved context is stale or contradictory. Check its version and update time, then compare conflicting details with their source. Use a defined rule for which version wins, or ask an agent to reconcile the conflict before proceeding.

Retrieval still transfers too much data. Inspect the retrieval query and response size. Fetch selected records or passages by task and relevance instead of loading the full conversation. If a task genuinely requires the full source, retrieve it deliberately and only for the authorized agent.

Frequently Asked Questions

Does passing an ID mean no context is sent?
No. The ID is a compact pointer, but the receiving agent must still retrieve relevant context. The benefit is avoiding repeated transfer of the entire conversation when only part is needed.

Should I pass a summary or a storage reference?
Often both: send a short summary for immediate orientation and a reference for details. For a small task, a structured summary alone may be enough.

Can agents share context across different systems?
Yes, if both systems can access a shared store through a supported integration and compatible permissions. Agree on the record format, identifier, and error behavior.

How do I keep the context secure?
Limit access to the agents that need it, scope identifiers to the right user or task, protect stored data, and set retention rules. Do not treat an unguessable link as a substitute for authorization.

What if the summary conflicts with the original conversation?
Prefer the original source for verification, and update the handoff with the corrected fact and its source. Mark uncertain or disputed details rather than presenting them as settled.

Does this always reduce cost or improve speed?
Not necessarily. Storage lookups and retrieval have overhead, and some workflows need more context than others. Measure total transfer, retrieval time, and task quality to see whether the approach helps.

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