A software developer working daily with AI agents has asked the Hacker News community how others keep context intact when switching between tools, sessions and clients. The developer says repeating information the agent should already know is the largest time cost, because each tool keeps its own memory. No replies have been reported yet.
A software developer who works with AI agents every day has turned to the Hacker News community with a problem that many heavy users say they share: keeping context intact when switching between tools, sessions and clients.
In an Ask HN post, the developer wrote that the largest time cost is repeating information the agent should already know. That includes past decisions and client-specific rules. Each tool, the poster said, keeps its own memory, so nothing carries over automatically.
How Do Developers Keep AI Agent Context Across Sessions?
The post lays out five questions for the community. The first asks how users give an agent context when they start a new session, and where that material comes from, whether chat logs, email or support tickets. The second asks whether people run more than one agent type, such as Claude or Codex, and if so, how they pass context between them.
How Do Developers Keep Client Context Separate When Using AI Agents?
The third question concerns client work. The poster asked how users keep the context for several clients separate. The fourth asks for a recent example of something going wrong, such as an agent using a rejected approach or forgetting a decision, and how much time it cost.
The final question asks whether people have paid for or built a tool to address these issues, and whether they still use it. The poster said they are weighing whether to build something themselves and framed the thread as research into how other people really work.
The post was written in a casual, direct tone and invited replies from anyone with experience. The poster thanked readers in advance for their responses. The thread itself does not include any answers in the material available for this report, so it is not yet clear how other practitioners handle the problem or what tools, if any, have worked for them.
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