Agently

Agently is designed to act as an intelligent layer for your business operations, holding your company's entire context to perform work autonomously. It is built for businesses looking to streamline their workflows and eliminate manual oversight by enabling their tools and data to work together seamlessly. Traditional tools often operate in silos, answering queries, retrieving data, or executing predefined rules. This fragmented approach can lead to inefficiencies and missed opportunities. Agently addresses this by creating a unified 'brain' that understands the interconnectedness of your business processes, moving beyond simple automation to true operational intelligence. One of Agently's core capabilities is its extensive connectivity, boasting over 100 connectors that integrate with various business applications. This allows it to ingest data from diverse sources and maintain a comprehensive, persistent memory of your company's operations. This memory is not static; it dynamically updates and learns, ensuring that the system always has the most relevant and current information. For example, it can link a Stripe event to a specific Slack thread and a corresponding Linear ticket without manual intervention. Agently employs a unique bi-temporal approach to data and time. It stores both the source's reported time and the ingestion order independently, treating the source's timestamp as a claim rather than absolute truth. This allows for accurate reconciliation of events, even when data arrives out of order or contains conflicting information, such as with external feeds like SAM.gov. This robust temporal handling ensures that the system's understanding of events is grounded in reality, not just the sequence of arrival. The system operates through 'agents' that are triggered by events or commands. When something needs to be done, Agently routes the task to the appropriate agent, which then executes the work end-to-end. This includes everything from initial triggering and execution to final shipping of the completed task. The governance of these agents is also a key feature; policy changes are treated as consequential actions, requiring proper permissions, logging, and audit trails, preventing unauthorized or unnoticed modifications to operational rules. Agently's approach to memory and context is a significant differentiator. The system backfills data upon connection, understanding your company's behavior even before its implementation. Context is not purged when an integration is revoked; instead, the data stream is cut, but the learned context remains. This persistent memory is crucial for long-term operational intelligence and learning. The benefits for users include the automation of complex, multi-step workflows, reducing the need for constant human oversight. By linking disparate systems and ensuring that work is completed without falling through the cracks, Agently frees up valuable time and resources. The system's ability to learn from user corrections and decisions creates a compounding value, making the company's learned context a significant moat and switching cost. Specific use cases include automatically linking customer support tickets to sales opportunities, tracking project progress across development and communication tools, and managing financial transactions from initiation to reconciliation. For instance, a Stripe event could automatically trigger a notification in Slack and update a corresponding ticket in Linear, all managed by Agently. Agently is offered as a free service. It is a web-based platform, accessible through any modern browser. The underlying technology stack includes components like Claude by Anthropic, Supabase, and Cursor, indicating a robust and modern architecture designed for AI-driven operations. In summary, Agently transforms your business stack into a self-running entity by providing a unified, intelligent context that automates complex workflows and ensures operational continuity, moving businesses closer to true artificial general intelligence.