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Hebbia ships memory, Word plugin, and new data integrations in October release

The AI research platform's monthly update adds persistent memory to its Max agent, a Microsoft Word plugin, and connectors to Daloopa, Intralinks, and Dynamo.

INFLXD Research··3 min read
Hebbia ships memory, Word plugin, and new data integrations in October release

Hebbia published its October product update on Monday, adding persistent memory and version history to its Max agent, a Microsoft Word plugin, and three new third-party data sources covering fundamentals, deal rooms, and pipeline CRM data.

The memory feature lets Max retain context across a user's prior sessions, a capability analysts have had from consumer tools like ChatGPT for over a year but which has been slower to arrive in enterprise research platforms where data residency and compliance review gate every feature. Version history, shipped alongside memory, lets users roll back agent outputs rather than re-running a workflow from scratch.

The Microsoft Word plugin is the more consequential surface move. Research analysts, PE associates, and credit teams write their memos in Word. A plugin that brings Hebbia's retrieval and extraction into the document itself shortens the loop between "find the number" and "cite the number in the IC memo." It also puts Hebbia in direct surface competition with the Word-native agent features Microsoft has been building into Copilot.

A stack of research transcripts that in previous months would scatter and reset at the top of each page ,  here fused into one continuous spine-bound ledger, its binding threaded through a glowing RAM

On the data side, three integrations landed. Daloopa, which standardizes fundamentals from filings and transcripts into structured feeds, is now available to Hebbia customers. Intralinks, the virtual data room provider used across M&A and private credit, syncs content directly into Hebbia so deal teams work against a live feed rather than a snapshot export. Dynamo, a deal-pipeline CRM common in alternatives, syncs documents into Hebbia with pipeline records attached.

The October release follows a September update that introduced "Headless Hebbia," an API and MCP (Model Context Protocol) server letting firms embed Hebbia's capabilities into their own internal tools rather than driving everything through Hebbia's UI.

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