/ AI DIGITAL EMPLOYEE

Enterprise memory system / Shared brain across agents

The employee that never leaves.

Onboards once, remembers forever, gets sharper every interaction — built on an enterprise-grade memory system, deployed across Slack, Feishu, WeChat, Teams and your CRM. The same memory layer powers Hermes, OpenClaw, and any custom agents you run.

4 service tiers3-layer memoryCross-agent shared
/01 Onboard once, remember forever
/02 Memory layer is framework-agnostic
/03 Full build or memory-only — you pick
/ Why this is its own product line
Onboards once

A human takes 6 months to ramp up. This employee onboards once and retains it all, forever.

Remembers forever

Three-layer memory (short-term / long-term / episodic) across pluggable backends — not a prompt we keep stretching.

Gets sharper daily

Learns from every interaction and writes reusable skills. It actually gets better — not marketing spin.

Shared brain

One memory layer powers Hermes / OpenClaw / your custom agents — support, approvals, CRM follow-ups all share the same mind.

/ USE CASES — what enterprises can actually do with it

By department · by industry · by deployment rhythm · FAQ

Product talk is not enough. We break down the digital employee's real usage across 6 departments (customer service, sales, HR, finance, engineering, legal) and 4 industries (property, finance, e-commerce, education) to executable granularity.

See enterprise use cases →
/ SERVICES — 4 ways to install it

Digital Employee Pilot

2-3w

One role, one channel, live in 2-3 weeks.

Start with a single, well-scoped digital employee — one role (customer support, lead qualifier, internal Q&A, etc.) on one channel (Slack or WeChat). We set up a starter memory layer, build the core skills, and get it running against real traffic. Low commitment, fast validation, clear upgrade path to the full Core engagement.

Deliverables
  • · Scoped role definition and success metrics
  • · Single-channel deployment (Slack / Teams / WeChat / Feishu — your pick)
  • · Starter memory layer (SQLite + FTS5, long-term knowledge ingestion)
  • · 5-10 custom skills for the scoped role
  • · Eval harness with golden test set
  • · 30-day go-live support
FLAGSHIP

AI Digital Employee · Core

6-12w

Onboards once, remembers forever, gets sharper every day.

The full build: an enterprise-grade digital employee backed by a three-layer memory system (short-term / long-term / episodic) deployed across Slack, Feishu, WeChat, Teams, email and your CRM. Traditional employees take 6 months to ramp up and walk out with their know-how. This one onboards once, accumulates your business knowledge forever, and gets sharper with every interaction. The same memory layer powers Hermes Agent, OpenClaw and any custom agents you deploy.

Deliverables
  • · Three-layer memory system: short-term / long-term / episodic, multi-backend (SQLite+FTS5 / pgvector / graph)
  • · Persona & SOP ingestion — encode how your team actually works
  • · Multi-channel deployment (Slack / Feishu / WeChat / Teams / email / CRM)
  • · Cross-agent memory sharing — one knowledge layer for Hermes, OpenClaw, custom agents
  • · Data isolation, access control, audit logging (enterprise-compliance grade)
  • · Self-improvement loop — employee learns from every interaction and writes reusable skills
  • · Onboarding program — we train the digital employee alongside your team like a new hire
  • · 90-day ramp-up support + retainer option
Proof

The pattern we run internally — agents + persistent memory + self-updating skills library — is the architecture we deploy for clients. We ship JR Academy with it every day.

Enterprise Memory Platform

4-8w

Just the memory backbone — drop into any agent stack you already run.

For teams who already have agents but lack a real persistent memory layer. We build the horizontal memory platform your agents plug into — short-term, long-term and episodic memory with pluggable backends (SQLite+FTS5, pgvector, Neo4j), an SDK your engineers call from any framework (LangChain, LlamaIndex, Hermes, OpenClaw, custom), a recall/precision eval harness, and the observability and access-control you need to put it in front of customers.

Deliverables
  • · Three-layer memory architecture (short-term / long-term / episodic)
  • · Pluggable backend selection per workload (SQLite+FTS5 / pgvector / graph)
  • · Memory SDK + API — framework-agnostic integration
  • · Recall / precision / LLM-judge evaluation harness
  • · Observability, cost tracking, access control, audit log
  • · Integration guide for Hermes / OpenClaw / LangChain / custom agents

Digital Employee Operations Retainer

retainer

Keep your digital employees sharp — skill authoring, memory curation, eval.

A long-term partnership that keeps your digital employees improving after launch. Monthly new-skill development, periodic memory audits (dedup, relevance, decay), eval regression testing, adoption tracking and quarterly review. The difference between "we installed an AI employee" and "our AI employee gets better every month".

Deliverables
  • · Monthly new skill development and iteration
  • · Memory curation — dedup, relevance scoring, decay policy
  • · Eval regression harness on a growing golden set
  • · Usage dashboards and adoption tracking
  • · Quarterly business review with improvement roadmap
  • · Priority Slack support channel
/ ARCHITECTURE — enterprise-grade memory system

Not one prompt glued to one vector DB. Three memory layers each doing distinct work, with the right backend per workload.

SHORT-TERM

Short-term / working memory

Current conversation context, in-flight tasks, active tool calls.

In-process / Redis
LONG-TERM

Long-term / semantic memory

Business knowledge, SOPs, past decisions, learned facts.

SQLite + FTS5 · pgvector
EPISODIC

Episodic memory

Past interaction traces, case studies, reusable skills.

Graph DB · Event log
/ One memory layer, multiple agents

Hermes Agent

Self-improving general-purpose

OpenClaw 🦞

Self-hosted, native WeChat / Feishu

Custom Agent

Anything you build yourself

/ WHY METATREE — why we can actually build this
We run it

Our team ships JR Academy daily with the exact pattern — agents + persistent memory + self-updating skills. What we deliver is what we use.

AI-asset-backed

Our parent JR Academy runs 10+ production AI systems (training-rag, SigmaQ, MCP servers, 3 live Chrome agents). These are live receipts, not slideware.

Compliance + China

Native WeChat / Feishu / WeCom integration and fully self-hosted deployment — we operate where n8n and Zapier cannot.

Build + teach + stay

Not just installation — we use JR Academy's training system to actually enable your team. We don't vanish after launch.

/ 08 — NEXT STEP

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