Engram MCP Serverv0.1.0

An AI agent can switch between expert personas (e.g., tech support, billing, product specialist) during a single conversation, each with its own memory and workflow rules. This reduces context-switching overhead and improves resolution accuracy.

A SaaS application uses Engram to remember user-specific settings, past interactions, and key facts across sessions. This enables personalized experiences without relying on external databases or vector stores.

Researchers load expert role profiles containing domain knowledge, reasoning patterns, and workflow rules. The AI can retrieve relevant knowledge on demand and maintain a dynamic memory of findings and hypotheses.

Developers integrate Engram with MCP-compatible IDEs (e.g., Cursor) to enforce coding standards, review checklists, and maintain project-specific rules across sprints. The agent remembers past code reviews and adapts its feedback.

Offer Engram server as a hosted service with tiered plans based on number of expert roles, memory size, and API requests. Revenue comes from monthly/yearly subscriptions.

License Engram to enterprises that build custom AI agents, charging per deployed agent or per seat. Revenue includes upfront licensing and ongoing support contracts.

Provide the core Engram server as open-source, and charge for premium features like advanced memory analytics, UI dashboards, and priority support. Revenue from premium licenses and consulting.