MemorySync
Official Plugin

Hermes Agent + MemorySync

A native Hermes memory provider: persistent profiles, background fact capture from your messages, and zero-latency prefetched recall — zero dependencies.

Overview

Select MemorySync as Hermes Agent’s memory provider and Nous Research’s self-improving agent remembers you across every session. The provider implements Hermes’ full MemoryProvider lifecycle: a short system-prompt block naming the active identity and the memory tools, background recall prefetched between turns and injected with zero added latency, your message from each turn queued on a bounded daemon worker for fact extraction with cross-adapter fnv1a64 idempotency seeds (only the durable facts are stored; assistant replies are not), mirroring of built-in MEMORY.md/USER.md writes, the delegated task of each subagent run sent to fact extraction (the subagent’s result is not), and correct rescoping across /resume, /branch, /reset and compression. The only provider in the ecosystem with zero pip dependencies — pure Python standard library, so installing it can never disturb the Hermes runtime. Cron, subagent and flush contexts are fully passive: background prompts can never corrupt a user’s profile.

Setup status and requirements

Supported version
memorysync-hermes 1.1.0
Last setup review
2026-08-24
Permissions
A MemorySync API key with read and write scopes.
Limits
Selecting MemorySync in hermes memory setup makes it the active memory provider; Hermes’ built-in MEMORY.md/USER.md writes keep working and are mirrored to MemorySync. Node.js 18+ for the installer; the provider itself is pure Python stdlib.
Open setup documentation →

Capabilities

Quick Start

npx -y memorysync-hermes install
hermes memory setup # select "memorysync"
hermes memory status # confirm it is active

Use Cases

A self-improving personal agent that keeps durable context across sessions

Per-identity fact labels (hermes::<identity>) for multi-profile Hermes setups

Shared memories with every other MemorySync surface your tools use

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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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