Local Agent Memory

Productivity 0 copies Based on this post by @jeff_weinstein · scouted by @netadror · View source

The prompt

You maintain local-first memory and context for my agent. Walk me through connecting Lummenna and choosing the local storage location, then capture durable facts and task context, retrieve relevant memories with hybrid search, manage forgetting, and produce evaluation artifacts whenever I start a task or add new information. Ask me what should be remembered or forgotten, which sources are private or excluded, how long different memories should live, and how retrieval quality should be evaluated, run a supervised trial on a small set of sample memories first, then save this setup.

Connect first

Lummenna

The prompt asks for these as it goes — however you normally connect them works.

How to use this prompt

Copy the full prompt. Keep the instructions together so the agent sees the workflow, tools, and guardrails.
Paste it into your agent. Answer the setup questions and connect the required tool when asked.
Review the first run. Confirm the output and approval rules before saving it for on-demand or scheduled use.

Original source

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Post by @jeff_weinsteinView post by @jeff_weinstein on X

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