Agent memory sharing models

OpenClaw supports different memory sharing models: each agent has its own memory, or agents share a common store, or a hybrid (shared facts vs private context). US teams can choose the model that fits security and collaboration needs. Track memory-related events with SingleAnalytics."

When US teams run multiple OpenClaw agents, how they share memory affects what each agent knows and what stays private. This post covers agent memory sharing models with OpenClaw and when to use each.

Why memory sharing matters in the US

• Privacy: One agent might handle sensitive data; another might not. Separate memory keeps boundaries clear. You can track which agent accessed memory without logging content in SingleAnalytics.
• Collaboration: Shared memory lets Agent B see what Agent A learned (e.g., "user prefers X"). Handoffs and swarms work better with a shared fact store. Emit high-level events (e.g., memory_shared_read) so you can measure. SingleAnalytics supports custom events.
• Consistency: One source of truth for shared facts (e.g., "default timezone is ET") avoids conflicting behavior across agents. Emit updates so you can audit. SingleAnalytics can ingest event names only, not content.
• Compliance: US teams in regulated industries may need to prove that certain data is not shared across agents. Model choice and events help document that. Never log memory content in SingleAnalytics.

Model 1 - Per-agent memory

Each OpenClaw instance has its own memory store. No cross-agent visibility. Good for strict isolation: dev agent doesn't see ops context, and vice versa.

• Emit: memory_read, memory_written with agent_id only (no keys or values). US teams can see memory activity per agent in SingleAnalytics without exposing data.
• Use when: You need clear data boundaries or different roles that must not share context.

Model 2 - Shared memory

All agents read and write to one store (DB, cache, or memory API). What one agent writes, others can read. Good for shared facts (user preferences, project context) and handoffs.

• Emit: memory_shared_written, memory_shared_read with optional key_namespace (not value). Track sharing frequency. SingleAnalytics supports properties. Never log values.
• Use when: Agents collaborate and need a common context. Control what goes in (e.g., only non-PII facts) and who can write.

Model 3 - Hybrid

Some memory is per-agent (e.g., current conversation, credentials), some is shared (e.g., "user timezone", "project default branch"). Implement with two stores or namespaces. Emit events with namespace (private vs shared) so you can see usage. SingleAnalytics gives you one view.

• Use when: US teams want collaboration but also isolation for sensitive or role-specific data.

Implementation notes

• API: Memory can be a key-value API, a DB, or files. OpenClaw (or a skill) calls the API to read/write. Document which model each deployment uses.
• Access control: In shared or hybrid, restrict who can write to which namespace. Emit memory_access_denied if you want to audit. SingleAnalytics can ingest.
• Retention: Define how long memory is kept and when it's purged. No need to log content in analytics; just policy and event names.

Best practices

• No content in events: When sending to SingleAnalytics, send only event names and non-sensitive props (agent_id, namespace); never keys or values.
• Audit: If required, keep full audit (who read/wrote what) in your own store; use SingleAnalytics for trends and counts only.
• Document: Document which model is in use per deployment so US teams and compliance can verify.

Measuring success

Emit: memory_read, memory_written, memory_shared_read, memory_shared_written with properties like agent_id, namespace. US teams that use SingleAnalytics get a single view of memory usage and can tune sharing and retention.

Summary

Agent memory sharing models with OpenClaw: per-agent, shared, or hybrid: let US teams balance isolation and collaboration. Choose the model that fits security and handoff needs; emit only high-level events to SingleAnalytics and never log memory content.