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TeemLushEnterprise Knowledge + Team Memory

Give your agents expert knowledge—and a memory they build themselves.

Bring specialist expertise, the context of your actual enterprise systems, and lessons from completed work into one knowledge foundation. Your agents connect, search, read and write. TeemLush handles the complexity behind them.

Discuss your use caseExplore architecture & licensing ↓

01 · Expert knowledge library

ConstaVitality-managed SaaS

Library subscription

TeemLush

Your organization’s private host

02 · Application context
Captured from your systems
03 · Knowledge & memory
Built by your agents

Private cloud or on premise

CLI · MCP · REST

Your AI agents

Connect · Search · Read · Write

Three knowledge layers. One connection for your agents.

Direct answer

What is TeemLush?

TeemLush is an AI-native enterprise knowledge and team-memory system with three layers: a subscribed expert knowledge library, automatically captured application context, and knowledge and memory built by your AI agents. Agents access all three through one private TeemLush host using CLI, MCP or REST. Your organization owns its application context and agent-built content.

Highlights

What your agents gain

Give agents a useful starting point, a clearer understanding of your systems, and knowledge they can carry into the next task.

Understand the system you actually run

Give agents captured records, configuration, scripts and customizations to investigate—even when documentation is missing or the original consultants are unavailable. Supported applications have built-in capture, so your team can start without developing a capture integration.

Start with practical expert knowledge

Give agents implementation experience they can use from day one. The subscribed library brings together specialist methods, lessons and working examples, reducing the knowledge preparation your team needs to do itself.

Carry knowledge into the next task

Let agents build and maintain the knowledge they depend on. Validated lessons, system conventions and task methods remain available to authorized agents across sessions and teams, so useful work can be reused and improved.

Retrieve context suited to application work

Combine enterprise application engineering with advanced RAG techniques. Retrieval is designed for speed and precision across structured data, code, prose, documents and Markdown, with the application and account context needed to interpret them.

Architecture, deployment & licensing

Three knowledge layers. One connection for your agents.

Expertise comes from the TeemLush library. Application context comes from your systems. Knowledge and memory grow through your agents’ work. Each layer has a clear home and a clear role.

Layer 01

Expert knowledge, ready to use

ConstaVitality-managed SaaS library

Start with specialist knowledge held by human experts and typically unavailable on the public internet. ConstaVitality researches, acquires and curates this expertise into a preloaded library that your agents can use from day one.

ConstaVitality builds and maintains the library in its own cloud environment. Access requires a TeemLush library subscription.

Your private host accesses library knowledge through your subscription

Your organization’s private environment

One TeemLush host. Two private layers.

Layers 2 and 3 run together on the same server for your organization. Choose a private cloud hosted by TeemLush or an on-premise deployment.

  • TeemLush-hosted private cloud
  • On-premise deployment

Layer 02

Application context, captured automatically

TeemLush’s capture software runs in your private environment. It extracts application data dictionaries, metadata, configuration, master data, customizations, scripts and code from supported applications, then builds a knowledge base designed for AI agent retrieval (RAG).

Agents and authorized people can add explanations, business terminology and context that cannot be captured from the source systems. TeemLush provides the capture capability; your organization owns the data.

Layer 03

Knowledge and memory, built by your agents

AI agents are the primary readers, writers and maintainers. They research, work and learn, then create, validate, organize and improve the knowledge they will use again. TeemLush provides the knowledge and memory capabilities; your agents generate the content.

Built around broad intake, careful validation, precise retrieval and continuous improvement. Agents maintain context for their own use, turning experience into reusable team memory.

Your organization owns the content in both private layers. People retain administration, approval and oversight.

CLI / MCP / REST

Your agents connect to one host.

  • Connect
  • Search
  • Read
  • Write

Through CLI, MCP or REST, agents connect only to your private TeemLush host. The host handles access to the subscribed library alongside your private context and memory.

We manage the complexity. Your agents get a simple way to work.

What do you subscribe to?

Layer 1 · Library subscription
A TeemLush library subscription is required to access the expert knowledge library managed by ConstaVitality.
Layers 2 + 3 · Software subscription license
A software subscription license is required for the application context and agent-built knowledge and memory layers, in a TeemLush-hosted private cloud or on premise.

Contact us for exact pricing[email protected]

How knowledge earns trust

Agents build the knowledge. Evidence keeps it useful.

TeemLush treats knowledge as working material that agents maintain. Broad intake is paired with careful validation, precise retrieval and continuous improvement.

  1. Keep the source and scope

    Retain the source, account, application context and capture date. Keep shared expertise distinct from observations that belong to one organization or configuration.

  2. Read the evidence in context

    Read the full source before relying on a search excerpt. Check its qualifications, installed-version assumptions and the question it actually answers.

  3. Resolve conflicts against the system

    When stored knowledge and current evidence disagree, check the relevant live source. A captured snapshot carries a date; an unsuccessful search leaves an open question.

  4. Validate and place new learning

    Check proposed knowledge against evidence and existing entries. Save it in the appropriate shared or account scope, with its conditions and limits, so future agents can judge when it applies.

  5. Refresh, correct and retire

    Refresh captured context as systems change. Agents reconcile conflicting entries, correct what they learn to be wrong, and retire stale guidance to keep future retrieval useful.

Agents take responsibility for the knowledge they use: researching, writing, checking, organizing and improving it. Your organization owns the private content; people retain administration, approval and oversight.

Start with the knowledge problem in front of you.

How can AI understand your system customizations when documentation is missing?

Start from captured records, fields, workflows, scripts and reports. Give agents a way to investigate the implemented system when the original consultants are unavailable.

Explore NetSuite application knowledge →

How do we keep useful knowledge across AI sessions and teams?

Keep validated lessons, system conventions and task methods in shared organizational memory that authorized agents can retrieve, check and improve in later work.

Explore shared agent memory →

At a glance

TeemLush automatic capture · Supported applications

Built-in support captures application context and customizations without custom capture development. Once the application is connected and authorized, TeemLush builds the knowledge base for your agents to use.

Oracle NetSuiteSAP S/4HANA & SAP ECC 6.0Oracle E-Business Suite 12 & Fusion Cloud ERPSalesforceMicrosoft Dynamics 365 Finance & Supply Chain ManagementWorkday
Agent access
CLIMCP serverREST APIsCompatible with any capable AI agent
Knowledge
Subscribed domain expertiseAutomatically captured application data dictionariesApplication metadata, configuration & master dataCustomizations, scripts & codeProse, documents, Markdown & SOPsAgent-built knowledge, skills & task memory
Deployment
Layer 1: ConstaVitality-managed SaaS libraryLayers 2 + 3: one private hostTeemLush-hosted private cloud or on premise
Licensing
Layer 1: library subscriptionLayers 2 + 3: software subscription license
Security posture
ISO/IEC 27001-aligned controlsAuthenticated organizational, application-type & account scopes

Inside the expert library

Practical knowledge from the people who have done the work.

Browse selected topics from the TeemLush library: implementation experience, inventory and planning practices, consultant know-how and practical finance methods, available to your agents through the library subscription.

Follow the examples below. Browse sideways. Select a topic to explore.

Enterprise operationsE-invoicing in practiceExplore topicClose topic

Draw on experience adopting e-invoicing across countries: the actual implementation landscape, lessons learned and practical work involved in making it part of enterprise operations.

Give agents implementation context alongside government requirements and vendor documentation, so they can prepare work with a clearer understanding of operational realities.

Inventory & fulfillmentOmnichannel inventory optimizationExplore topicClose topic

Draw on practical experience optimizing inventory levels across sales channels, stock locations and fulfillment needs.

Help agents prepare inventory and replenishment decisions with a coordinated view of availability, service levels and operational constraints.

Material planningSAP MRP exception handlingExplore topicClose topic

Use practical methods for investigating exceptions in SAP MRP calculations and understanding the planning context behind them.

Help agents work through an exception, identify the inputs and assumptions to check, and prepare a resolution for review.

ERP implementationConsultant shortcuts & workaroundsExplore topicClose topic

Access practical methods used by experienced consultants working with SAP, Oracle EBS, NetSuite and other ERP systems—the details that rarely make it into help documents or user forums.

Help agents recognize a known implementation pattern and understand the conditions under which a shortcut or workaround applies.

Enterprise financeTransfer-pricing documentationExplore topicClose topic

Explore working examples of the evidence, documentation, reports and calculations used to support transfer-pricing processes.

Help agents organize review materials with the applicable jurisdiction, company policy and calculation assumptions in context.

ERP implementationNavigating conflicting data dictionariesExplore topicClose topic

One application’s record-operation dictionary, API record schema and SQL query data dictionary can differ—even contradict one another. TeemLush provides the practical knowledge experienced consultants use to navigate these differences and choose the right approach for each task.

The dictionaries themselves are automatically captured in layer 2. The expert library in layer 1 supplies the methods and workarounds rarely found in public documentation that help agents use those dictionaries together correctly.

Enterprise financeIntercompany profit eliminationExplore topicClose topic

Use practical examples of the documents, reports and calculations involved in eliminating intercompany profit.

Help agents trace calculation inputs and supporting evidence, with the relevant accounting framework and organizational policies kept in view.

Enterprise financeEvidence, reports & calculationsExplore topicClose topic

Explore how working examples connect supporting documents, reports and calculations in transfer pricing and intercompany accounting.

Give agents a practical basis for preparing traceable workpapers and materials for review.

Based on recorded FleeceTide inquiries · September 2026

Real examples: Ask about your work. Your agent finds the context.

Ask your agent what happens in your application, why a process works that way, or how to approach a task. It uses TeemLush to find the system context and practical knowledge behind its answer.

Work hours & project labor costs

A question you could ask your agent

How do we calculate project labor costs from reported work hours?

Context the agent found in TeemLush

FleeceTide retrieved time-entry and timesheet definitions, approval workflows, existing reports, and prior guidance on labor-cost rates and query rules.

  • Time records & approvals
  • Labor-cost guidance
  • Data dictionaries
  • Saved searches & reports

What the agent established

Which hours to count
The retrieved guidance identified the filter for actual work hours and explained how to keep other time categories out of the same calculation.
Which rate applies
Account-specific knowledge distinguished standard labor-cost rates from month-end allocation rates, and explained how to match the rate’s effective dates to the time entry.
Which fields and reports to use
The agent found differences between record fields and SQL query columns, alongside existing reports for time, labor costs and budget comparisons.

Business travel & expenses

A question you could ask your agent

How does our travel process work, from a trip request to project cost allocation?

Context the agent found in TeemLush

When guide searches returned no dedicated travel guide, FleeceTide followed captured records, approval workflows, integration scripts and saved searches to reconstruct the process.

  • Custom record definitions
  • Approval workflows
  • Integration scripts
  • Saved searches & reports

What the agent established

How requests move through approval
The agent connected travel-request records with approval rules to explain the configured approval path.
How bookings become expenses
It linked booking-platform integration data, monthly employee reconciliation and expense approvals into a connected workflow.
How costs reach projects
It traced the links between expenses and project cost fields, bringing the customized travel process into one coherent explanation.

Role in the delivery system

Each product can work independently. Together, they bridge capable models to completed enterprise tasks.

  1. MODEL
    Capable AI modelsReasoning + tool use
  2. 01Current product
    TeemLushEnterprise Knowledge + Team Memory
  3. 02
    FleeceTideCentralized Enterprise Harness + Runtime
  4. 03
    SiriusCoreAI-Native Enterprise Application + Workbench
  5. RESULT
    Delivered taskGoverned enterprise result
Why we built this →

TeemLush supplies the expertise, application context and memory. FleeceTide runs and governs the agents that put it to work.

Pairs with: FleeceTide →

Scenario observations

One working-scenario observation on knowledge and repeated tool work.

This specific scenario examined task completion and tool-call rounds when system-specific knowledge was available through TeemLush.

Illustrative working scenario

NetSuite data, process, reporting, and analysis work

GPT 5.5 / GPT 5.6 Sol/Terra + Codex + TeemLush + NetSuite through an MCP-standard SuiteApp, evaluated across arbitrary ad-hoc tasks.

Attempted-task completion
~30% → ~85%
Average tool-call rounds per task
~48 → ~13

FAQ

Questions buyers ask about TeemLush.

Is TeemLush simply a RAG service?

RAG is part of the foundation. TeemLush combines it with a specialist knowledge library, automatic application context capture, organizational scopes, and knowledge and memory that agents build and maintain themselves. Retrieval is optimized for enterprise application context, from structured data and code to prose and documents.

How does knowledge enter TeemLush?

Layer 1 — Expert knowledge library. ConstaVitality researches, acquires, curates and preloads specialist expertise, typically unavailable on the public internet, into its managed SaaS library. Your private host accesses this knowledge through a TeemLush library subscription.

Layer 2 — Application context. TeemLush software in your private environment automatically captures application data dictionaries, metadata, configuration, master data, customizations, scripts and code from supported systems and builds a knowledge base for agent retrieval. Agents and authorized people can add explanations, terminology and context beyond what those systems contain. Your organization owns this data.

Layer 3 — Agent-built knowledge and memory. Your AI agents generate the content through research, work and learning. They write, validate, organize and continually improve it using TeemLush’s knowledge and memory capabilities. This content belongs to your organization and runs alongside layer 2 on the same private host.

Do we need to develop an application capture integration?

No custom capture development is required for the supported applications listed above. TeemLush supplies the capture software. Once the application is connected and the necessary access is authorized, it automatically captures application context and customizations, builds the knowledge base, and makes that context available to your compatible AI agents.

Can it work with AI agents other than FleeceTide?

Yes. TeemLush exposes CLI, MCP and REST interfaces and is designed to work with any compatible AI agent. FleeceTide uses it as a first-class organizational memory layer.

Is TeemLush suitable for personal use?

It is designed for shared organizational knowledge, not personal note-taking. TeemLush may add context to an individual model call, while better knowledge can reduce retries and tool-call rounds. Total token use and cost depend on the task and operating environment.

How is private knowledge deployed?

Layers 2 and 3 share one TeemLush server for your organization, deployed in a TeemLush-hosted private cloud or on premise. Your organization owns the application context and agent-built content. Agents connect only to this private host; the host accesses layer 1 through your library subscription. ConstaVitality manages the expert knowledge library as a separate SaaS service.

How is TeemLush licensed?

Layer 1 requires a TeemLush library subscription. Layers 2 and 3 require a software subscription license, whether deployed in a TeemLush-hosted private cloud or on premise. Contact [email protected] for exact pricing.

Can TeemLush help when ERP customizations have no documentation?

Yes, where the relevant application artifacts can be captured. TeemLush gives agents access to record definitions, configuration, workflows, scripts and reports so they can investigate the implemented system. Captured evidence can reveal how a customization works; undocumented business intent or policy may still need confirmation from the organization.

How does TeemLush preserve knowledge across AI sessions and teams?

Authorized agents save validated lessons, system conventions and reusable methods in the organization’s private TeemLush host. Later sessions and other authorized agents can search, read, check and improve that knowledge. Agents actively maintain useful memory under organizational scopes; people retain administration, approval and oversight.

Give your agents a clearer understanding of your business systems.

Tell us which applications you run and what your agents need to accomplish. We’ll discuss capture coverage, relevant knowledge libraries, private deployment and pricing.

Discuss your use case[email protected]