Enterprise Memory for AI Agents
Enterprise Memory for AI AgentsTeemLush
Organizational memory that makes every AI agent better.
TeemLush gives AI agents the private context they cannot learn from a foundation model or the public web: your policies, system customizations, procedures, decisions, and accumulated operating knowledge.
What is TeemLush?
TeemLush is a production long-term memory and knowledge base for organizations using AI agents. It gives compatible agents a shared, structured knowledge layer through CLI, MCP and REST APIs, combining preloaded expertise, automatically collected application context, and knowledge created through daily work.
Highlights
One memory layer for the organization
TeemLush is built for teams and enterprises, not for one person’s assistant. Knowledge can be shared by many agents while remaining scoped to the relevant organization, application type, and account.
Structure that evolves with use
This is more than a static document index. Agents can discover the current knowledge structure, add or update documents, and propose new structures as the organization’s knowledge changes.
Context a foundation model cannot know
TeemLush combines policies, protocols, SOPs, system metadata, customizations, skills, operational rules, and private documents—the exclusive context that makes an enterprise agent useful in your environment.
Already working in production
TeemLush technology serves more than 70 live customers. It is available as a managed SaaS service, a private-cloud option, or a hybrid deployment for organizations that need local control of private knowledge.
At a glance
- Product status
- Production70+ live customers
- Agent access
- MCP serverREST APIsCompatible with any capable AI agent
- Knowledge
- Policies, protocols, guides & SOPsEnterprise application metadata & customizationsAgent skills, rules & lessonsDocuments and searchable operational data
- Deployment
- Managed SaaSPrivate cloudHybrid deployment with customer-managed private data
- Security posture
- ISO/IEC 27001-aligned controlsAuthenticated organizational, application-type & account scopes
FAQ
Is TeemLush simply a RAG service?
RAG is part of the technical foundation, but not the product’s full value. TeemLush adds organizational scope, evolving structure, agent-managed write workflows, application-specific knowledge, and managed knowledge subscriptions around retrieval.
How does knowledge enter TeemLush?
Knowledge can be preloaded by ConstaVitality, collected automatically from supported enterprise applications, or written and refined by authorized agents and people during daily work.
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. It may increase token consumption because it supplies richer enterprise context in exchange for better task quality.
How is private knowledge deployed?
Organizations can use managed SaaS, a private-cloud option, or a hybrid model in which private and agent-generated knowledge remains in the customer-managed environment while subscribed knowledge is managed by ConstaVitality.
Pair TeemLush with FleeceTide to give a governed enterprise agent durable organizational memory.