Engrama review
Engrama gives agents graph-based memory, profiles and hybrid retrieval from $19 monthly.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Engrama provides long-term memory infrastructure for AI agents, copilots, chatbots and personal assistants. It extracts facts and intents from conversations and connected data, links them in typed, versioned graphs, and returns ranked context through an API. Persistent user profiles, document, browser-data and GitHub connectors, plus graph-and-vector retrieval, make it suited to developers building assistants that need continuity across tools. TypeScript and Python SDKs support application integration, while cloud and self-hosted deployment cover local infrastructure, private clouds, Kubernetes and air-gapped environments.
The freemium structure offers a $0-per-month Free plan with a REST API, TypeScript SDK, MIT-licensed self-hosting and community support. Pro costs $19 per month and adds a knowledge graph, analytics and all framework integrations. Scale lists webhooks, SSO/SAML and a 99.9% uptime SLA. Enterprise adds unlimited tokens and search, on-premises and air-gapped deployment, a 99.99% uptime SLA, audit logs and dedicated support. Integrations span Cursor, Claude, ChatGPT, Gemini, LangChain, LlamaIndex, VS Code and CrewAI, giving teams several paths into existing agent workflows.
Engrama is a strong fit when structured relationships, profile persistence and scoped retrieval matter more than a simple key-value memory layer. Its open-source model and self-hosting options can suit teams that need infrastructure control, while paid tiers add operational features for larger deployments. Buyers should account for the tier boundaries: analytics and webhooks require payment, SSO/SAML is listed on Scale, and unlimited usage plus audit controls are reserved for Enterprise. Teams seeking only lightweight conversation recall may find this graph-oriented architecture broader than necessary.
Engrama pros and cons
- Where it wins
- Automatic fact and intent extraction from conversations
- Typed, versioned graphs with hybrid graph and vector retrieval
- Hosted or self-hosted deployment with TypeScript and Python SDKs
- Where it doesn't
- Analytics and webhooks are available only on paid tiers
- SSO/SAML and uptime SLAs start with the Scale plan
- Unlimited tokens and search are reserved for Enterprise
Engrama fact sheet, pricing and score →
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