en.Wedoany.com Reported - Weaviate has announced the general availability of Engram, its managed memory and context service for agent-based applications, which is now included in Weaviate Cloud with a free tier.

Many organizations encounter a common problem when deploying AI agents into production: agents cannot reliably remember users across sessions, learn from feedback, or share context when tasks span multiple agents. The workarounds teams adopt struggle to handle real-world complexity, such as re-feeding entire conversation histories into models, manually organizing files, or building custom memory systems. Engram treats memory as infrastructure on par with storage and retrieval.

Rather than simply piling up ever-growing context, Engram runs asynchronous pipelines to extract facts, cross-reference them with known information, and handle deduplication and updates to maintain clear, structured memory. These pipelines operate in a fire-and-forget mode: applications pass raw events and continue working, while memory is continuously built in the background. Memory is returned via Weaviate's hybrid search, giving teams a memory layer powered by a retrieval stack they already trust.

Scoping is fundamental to Engram: memory is isolated by project, user, and attribute, ensuring the right context reaches only the right caller. Common use cases such as personalization, continuous learning, and multi-agent shared state are available as ready-made templates, which teams can customize to meet their needs.

Bob van Luijt, CEO and co-founder of Weaviate, stated that memory is the difference between an agent that answers questions and one that continuously improves on the job. With Engram, every team can obtain a production-grade memory layer without having to build or operate it themselves on infrastructure they already trust. Engram is now generally available in Weaviate Cloud. The free tier includes 1,000 pipeline runs per month, with paid plans starting at $45 per month.

Weaviate is the company behind the open-source AI-native vector database, which developers use to build AI applications at scale. The Weaviate platform encompasses the Weaviate database, query agents, and Engram. Weaviate is an open-source product with over 150 million monthly downloads.

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