[KongchangAI]
Product

GBrain

GBrain is a memory management tool designed for AI agent systems, providing intelligent agents with persistent and retrievable memory storage capabilities. Its core features include a multi-layer hybrid retrieval strategy that combines keyword search, vector search, and Reciprocal Rank Fusion (RRF) reranking, as well as a knowledge-graph-based graph traversal mechanism. These enable agents to efficiently recall relevant historical information during complex tasks, enhancing contextual understanding and long-term memory.

Timeline (last 90 days)

Sep 23

GBrain is a product that provides a unified memory layer and tool access layer for all AIs, with the tagline 'Plug your own memory, tools, and skills into any AI'.

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Sep 23

GBrain's memory is a folder of Markdown files that users can read, correct, and take with them.

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Sep 23

GBrain uses plain-text Markdown files to store memory, sacrificing some semantic retrieval precision in exchange for complete auditability and portability.

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Sep 23

GBrain allows users to use its own inference service, or to run on the user's own inference environment.

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Sep 23

GBrain provides a shared workspace feature where an entire team can share one workspace, enabling collaboration on memory, connected accounts, and tools.

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Sep 23

GBrain offers $100 off the first month for team workspaces via its ProductHunt exclusive link.

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Sep 23

GBrain is categorized under Productivity, Artificial Intelligence, and Business.

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Sep 23

GBrain was built by a team including Jamie Mercurio.

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Sep 23

GBrain received 91 upvotes on ProductHunt, ranking 8th for the day, with 3 comments.

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Sep 23

GBrain uses 'readable Markdown memory + unified account connectivity + self-hosting option' as its differentiated selling points.

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