Current data for the next action.
Remac is a universal data pipeline for AI agents and applications. It reads selected business data, prepares it for each use, returns it during a request, or keeps connected destinations current.
Read current data while an agent or application is handling a request. Remac returns the selected data for your model and workflow to use immediately.
Keep prepared records and their vectors aligned with source updates and deletes. Use them for retrieval, recommendations, similarity matching, classification, clustering, and other vector workflows.
Prepare separate outputs for operational and analytics systems. Each destination receives the fields and format it needs, and each delivery is tracked separately.
Use the TypeScript, Python, or Go SDK, call the HTTP API, or connect agents through MCP.
Sources can include databases, SaaS applications, websites, APIs, webhooks, files, object stores, and event systems.
Destinations can include managed context and search stores, vector stores, operational databases, warehouses, object storage, streams, queues, and application endpoints.
Remac is proprietary software and a managed service from Remac Technologies Inc. This public repository contains product information. It does not contain the product source code or grant a software license.
All rights reserved. See the license notice.