Give your agent long-term memory with an LLM wiki skill
A researcher keeps an "LLM wiki" with 399 knowledge nodes that runs as a single agent skill, giving agents persistent memory without flooding their context. He built it while using Claude Code to research coding agents like Claude Code, OpenCode, Pi and Aider, and links findings to papers.
Source
@pauliusztin_ on X · 2026-10-19
Written in our own words. Credit to the original author. Link checked 2026-10-19.
What they did
A researcher keeps an "LLM wiki" with 399 knowledge nodes that runs as a single agent skill, giving agents persistent memory without flooding their context. He built it while using Claude Code to research coding agents like Claude Code, OpenCode, Pi and Aider, and links findings to papers.
Result (as claimed)
A growing knowledge base his agents can query.
Tools they used
Cost: Claude Code: from $17/mo.
Set it up
Gather your sources
Collect the papers, notes, links or files you want to work from in one place.
Load them into the tool
Open Claude Code and add your sources. Keep the original files so you can check claims later.
Ask focused questions
Ask for summaries, comparisons or connections with citations to the source passages.
Verify and save
Spot check claims against the sources, then save the output as notes you can reuse.
Copy the full setup prompt
Paste into your agent and it will walk you through the setup, asking before anything that sends, posts or spends.
You are helping me set up this AI use case end to end in Claude Code. Goal: Give your agent long-term memory with an LLM wiki skill What the original author did: A researcher keeps an "LLM wiki" with 399 knowledge nodes that runs as a single agent skill, giving agents persistent memory without flooding their context. He built it while using Claude Code to research coding agents like Claude Code, OpenCode, Pi and Aider, and links findings to papers. Reported result (as claimed by the author): A growing knowledge base his agents can query. Source: https://x.com/pauliusztin_/status/2112159327565840708 Tools they used: Claude Code Category: Research & learning Please: 1. Ask me 3 short questions about my situation (accounts I have, budget, what I want the output to look like). 2. Propose a step-by-step plan using these tools or cheaper alternatives, with the time and cost of each step. Use official pricing pages; say "check pricing" if unsure. 3. Then do the setup with me one step at a time, waiting for my OK before anything that sends messages, posts publicly, spends money or deletes data. 4. Finish with a checklist to run it again next time.
You are helping me set up this AI use case end to end in Codex. Goal: Give your agent long-term memory with an LLM wiki skill What the original author did: A researcher keeps an "LLM wiki" with 399 knowledge nodes that runs as a single agent skill, giving agents persistent memory without flooding their context. He built it while using Claude Code to research coding agents like Claude Code, OpenCode, Pi and Aider, and links findings to papers. Reported result (as claimed by the author): A growing knowledge base his agents can query. Source: https://x.com/pauliusztin_/status/2112159327565840708 Tools they used: Claude Code Category: Research & learning Please: 1. Ask me 3 short questions about my situation (accounts I have, budget, what I want the output to look like). 2. Propose a step-by-step plan using these tools or cheaper alternatives, with the time and cost of each step. Use official pricing pages; say "check pricing" if unsure. 3. Then do the setup with me one step at a time, waiting for my OK before anything that sends messages, posts publicly, spends money or deletes data. 4. Finish with a checklist to run it again next time.
You are helping me set up this AI use case end to end in Grok Bot. Goal: Give your agent long-term memory with an LLM wiki skill What the original author did: A researcher keeps an "LLM wiki" with 399 knowledge nodes that runs as a single agent skill, giving agents persistent memory without flooding their context. He built it while using Claude Code to research coding agents like Claude Code, OpenCode, Pi and Aider, and links findings to papers. Reported result (as claimed by the author): A growing knowledge base his agents can query. Source: https://x.com/pauliusztin_/status/2112159327565840708 Tools they used: Claude Code Category: Research & learning Please: 1. Ask me 3 short questions about my situation (accounts I have, budget, what I want the output to look like). 2. Propose a step-by-step plan using these tools or cheaper alternatives, with the time and cost of each step. Use official pricing pages; say "check pricing" if unsure. 3. Then do the setup with me one step at a time, waiting for my OK before anything that sends messages, posts publicly, spends money or deletes data. 4. Finish with a checklist to run it again next time.
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Guides for this use case
How to vibe code an app with Claude Code · How to run multiple coding agents together · How to add memory to coding agents · How to build agent memory and context layers
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