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Building the Live Context Graph for Agents, 28 Weekly Releases Later

Materialize recaps 28 weekly releases focused on enabling a 'live context graph' for AI agents — incrementally maintained materialized views that give agents fresh, consistent data for tight feedback loops. Key updates include: an MCP Server for agents to discover and query data products, replacement materialized views for zero-downtime in-place schema changes, a new mz-deploy CLI (built in Rust) for declarative deployments with local compilation and unit testing, a Developer MCP endpoint for coding agents like Claude Code and Cursor, an Apache Iceberg sink for exactly-once delivery to lakehouses, source versioning for zero-downtime upstream schema changes across PostgreSQL/MySQL/SQL Server, SSO/OIDC support for self-managed deployments, and significant performance improvements including 50% p99 latency reductions and 75% faster DDL.

    #ai-agents#apache-iceberg#materialize
Jun 16•11m read time•From materialize.com
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Build and iterate on your context graphMoving towards a headless developer experienceConnect to all your sources and sinksEnterprise readinessOne weekly release at a time
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Materialize Blog offers insights, tutorials, and updates on real-time data processing, streaming ana...

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