MemorySync
Official SDK

AutoGen + MemorySync

A real Memory-protocol implementation for Microsoft AutoGen — async-native, budgeted recall, and a clear() that cannot nuke a customer.

Overview

Install autogen-memorysync and AutoGen agents remember users across sessions. MemorySyncMemory implements the full autogen_core Memory protocol: update_context runs before every model call and injects recalled context as a SystemMessage under a hard budget (default 1.2s) — a slow or dead memory backend means an unenriched turn, never a late or broken one. Retrieval is role-aware (the last user message, not blindly messages[-1] — which after a tool result is assistant text, a real retrieval bug in the Mem0 adapter that ships inside autogen-ext). Everything is genuinely async (Mem0’s calls a synchronous client inside async methods, blocking the event loop), writes carry deterministic idempotency seeds so retries never duplicate, clear() is session-scoped by default with whole-user wipe as an explicit opt-in, and add_turn_pair() reduces the capture loop AutoGen deliberately leaves to applications to one call. search_memory and save_memory FunctionTools included.

Setup status and requirements

Supported version
autogen-memorysync 1.0.0 (PyPI)
Last setup review
2026-08-24
Permissions
A MemorySync API key with read and write scopes.
Limits
Requires autogen-agentchat/autogen-core 0.4+ (Python 3.10+). AutoGen is in maintenance mode — the Memory protocol is frozen and stable; a Microsoft Agent Framework adapter is a separate roadmap item.
Open setup documentation →

Capabilities

Quick Start

from autogen_agentchat.agents import AssistantAgent
from autogen_memorysync import MemorySyncMemory
memory = MemorySyncMemory(api_key="ms_...",
user_id="customer-42",
session_id="support")
agent = AssistantAgent("assistant", model_client=...,
memory=[memory])
result = await agent.run(task=user_text)
await memory.add_turn_pair(user_text,
result.messages[-1].content)

Use Cases

AutoGen assistants that greet returning users with context

Multi-agent teams where each agent carries per-user memory

Migrating off the event-loop-blocking Mem0 autogen-ext adapter

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Built for production AI systems

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MemorySync provides the infrastructure layer for persistent memory, adaptive retrieval, and enterprise AI intelligence.

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