Personalization Use Cases
Context Handoff
You can now allow your agents, devices, and tools to share the same user state and context — so interactions can continue seamlessly across platforms.
Using Fastino’s Personalization API, your agents can retrieve the user’s latest goals, open tasks, and conversational context, making every transition feel natural and continuous.
Overview
Users expect their assistants to remember context — whether they move from Slack to email, mobile to desktop, or one agent to another.
Fastino provides a unified memory layer that stores conversation history, world model updates, and user state, so context can be transferred, resumed, or shared on demand.
This capability is key for:
Multi-agent systems
Cross-device AI experiences
Tool integrations (e.g., Slack ↔ Notion ↔ Gmail)
Enterprise collaboration environments
Key Capabilities
Capability | Description | Example |
|---|---|---|
Seamless Continuity | Resume tasks or reasoning threads between agents or devices. | A Slack message continues into an email draft. |
Cross-Agent State Sharing | Share contextual embeddings between specialized agents. | A calendar bot hands off meeting prep context to a notes agent. |
Deterministic Context Export | Retrieve structured, portable user state. | Export user focus, goals, and communication tone. |
Temporal Context Awareness | Account for when context was last updated. | “This context was last active 2 hours ago.” |
Example: Transferring Context Between Tools
Step 1 — Retrieve active context from Fastino
Response
Step 2 — Pass summary to another agent
When the user switches from Notion to Slack, the receiving agent (Slack assistant) initializes with the same summary:
This ensures continuity without repeated user input.
Example: Cross-Device Handoff
When a user moves from desktop to mobile:
Mobile app requests recent context.
Fastino returns portable session memory.
The mobile agent starts mid-session with full state awareness.
Example: Multi-Agent Context Bridge
Agents can also share context explicitly through Fastino.
For example, a scheduler agent can hand off context to a communication agent:
Later, the email assistant retrieves this document to draft the appropriate message.
Example: Querying Context for a Specific Tool
Response
This allows tool-specific context rehydration with minimal latency.
Architecture
Context Handoff Flow
Each agent contributes and retrieves context from the same world model, ensuring aligned state across tools.
Example: Deterministic Handoff Snapshot
Response
This can be stored or sent as a JSON payload between agent runtimes.
Integration in Agent Systems
Component | Function | Example |
|---|---|---|
Memory Manager | Writes recent session summaries to Fastino. |
|
Session Loader | Retrieves portable summaries for new contexts. |
|
Task Coordinator | Passes structured reasoning states. | “What was the last unresolved task?” |
Transparency Layer | Explains what context was used. | “Continuing from your last Notion session.” |
Example Implementation (Python)
Use Cases
Use Case | Description |
|---|---|
Device Handoff | Continue user sessions between desktop, mobile, and web. |
Multi-Agent Continuity | Pass context between specialized assistants. |
Cross-Tool Flow | Maintain task awareness across Notion, Gmail, and Slack. |
Session Persistence | Save working memory for later resumption. |
Transparent AI Collaboration | Let users view what context was shared and when. |
Best Practices
Use
purpose=handofforpurpose=session-handofffor portable summaries.Keep context documents concise (<2KB) to optimize retrieval.
Always timestamp handoff events for chronological integrity.
Implement transparency: show the user what context is being transferred.
Use
/deleteor TTLs to clear stale session context automatically.Combine with Cross-tool Reasoning for unified coordination across tools.
Example: Session Transparency Log
Agents can record when handoffs occur for user auditability:
This reinforces user trust and traceability.
Summary
The Context Handoff use case makes personalization continuous and portable.
By enabling agents to exchange user state and intent through Fastino’s world model, your ecosystem can maintain coherence across sessions, tools, and devices — delivering fluid, memory-aware experiences that feel naturally human.
Next, continue to Personalization Use Cases → Personalized Retrieval to learn how Fastino fetches and ranks user-specific context snippets for adaptive grounding.
Join our Discord Community