Supermemoryv0.2.1

A customer support agent uses Supermemory to automatically extract facts from support tickets and chat logs. The memory system tracks decisions, preferences, and project updates, enabling the agent to recall previous interactions without manual logging. This reduces resolution time and improves personalization across sessions.

A personal AI assistant powered by Supermemory remembers user preferences, past conversations, and ongoing projects across devices. The assistant can recall facts like 'prefers dark mode' or 'project deadline is April 15' and update them when contradicted or extended, creating a continuous, coherent user experience.

Multiple AI agents working on a project share a common Supermemory database. Each agent ingests facts from its interactions, and others can search across sessions to get context-aware responses. For example, a scheduling agent can retrieve deadline changes made by a different agent, ensuring alignment.

A medical AI assistant uses Supermemory to extract facts from patient consultations and research articles. The memory system tracks when facts are updated or contradicted (e.g., medication changes) and supports time-travel queries ('as-of' date) to view historical knowledge, aiding diagnostic consistency.

A legal AI agent ingests facts from case documents, discovery materials, and client interviews. It builds entity profiles for parties, judges, and precedents, and enables semantic search across jurisdictions. The system tracks contradictory statements and outdated facts, ensuring accurate case history.

Offer Supermemory as a managed cloud service with per-ingest pricing plus a subscription for storage and search. The low per-ingest cost ($0.01-0.02) allows scaling, while free local embeddings keep search costs low. Revenue scales with memory insertions and query volume.

Provide the core Supermemory as open-source (local-first, SQLite) to drive adoption. Charge for enterprise features like managed hosting, SLA, SSO, audit logs, and multi-agent orchestration plugins. This model generates revenue from large organizations needing reliability and compliance.

Integrate Supermemory into existing AI agent platforms or no-code tools like OpenClaw. Charge a platform fee or take a cut of agent usage. The memory becomes a value-add feature that differentiates the platform, driving user retention and increased transaction volume.