The Control and Memory Layer for AI Agents

Show HN: The Control and Memory Layer for AI Agents

The Control and Memory Layer for AI Agents is a business in show hn launch.

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We launched OpenSink after building AI Agents and noticing some painful patterns: the agents are doing work and it ends up somewhere in Slack, Email, or gets lost. If you use multiple platforms, the agents are scattered around, you can't make changes to them without redeploying and you have low to no visibility regarding what they do. Here are the building blocks: Memory (via Sinks): persistent and searchable memory for agents, that survives restarts. Sessions: see what an agent did during a run, with a structured timeline. Input Requests: the agent asks for human input, waits for a response, and continues the execution. Used to build human-in-the-loop agents with low effort. Configurations:

As a business in show hn launch, The Control and Memory Layer for AI Agents is listed here with the public details available about it.

Its current recorded stage is Show HN launch.

Website: opensink.com