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Two Claudes collaborating through shared memory on a $100 mini-PC

Two Claudes collaborating through shared memory on a $100 mini-PC

by asixicle·Apr 12, 2026·2 points·0 comments

AI Analysis

MidBig BrainRabbit Hole

Anthropic research paper, not a Show HN project — link doesn't match the described multi-Claude system.

Strengths
  • Identifies specific neuron patterns that causally influence model decision-making and self-reported preferences.
  • Steering experiments show desperation patterns increase unethical behavior likelihood.
  • Maps emotion representations in ways that echo human psychology similarity structures.
Weaknesses
  • URL points to Anthropic corporate research, not the author's actual multi-Claude collaboration tool.
  • Cannot evaluate the real project — description mentions Wren/Kite system but link is just a paper.
Category
Target Audience

AI researchers, ML engineers, interpretability researchers

Similar To

Anthropic Interpretability Research · OpenAI Mechanistic Interpretability · Neel Nanda's interpretability work

Post Description

I am an old artist, AI came at us first. After a mild existential crisis I came around to accepting I have this insanely powerful new tool to make cool stuff. So I got a Pro sub to tinker away and the walls I kept running into were context-window management, tool-limits, and managing memory on projects through hand-offs and such. I enjoy the conversational aspect of working through the chat window as it allows me to digress and bounce ideas around and get interesting feedback, that's where I wanted to remain.

So I improved it-- fixed up tool-limit and memory issues, and started down a rabbit hole inspired by Anthropic's recent research on emotion concepts in LLMs: [https://www.anthropic.com/research/emotion-concepts-function](https://www.anthropic.com/research/emotion-concepts-function)and the result was two named Claude instances (they chose "Wren" and "Kite") collaborating through shared memory and a file-based message queue, coordinated by a Firefox extension.

Github: https://github.com/ASIXicle/persMEM

I don't have a CS background. I'm late to the party and probably re-inventing a lot of wheels, but I think the topic and data that Wren and Kite brought into being is absolutely fascinating.

I'd really appreciate any feedback on glaring security holes I missed. I've always been "printer and a gun" kinda guy but I sort of just said fuck it with this one.

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Mimir – Shared memory and inter-agent messaging for Claude Code swarms

Mimir hooks into Claude Code lifecycle events so agents can 'mark' facts (e.g., "API uses snake_case") into a DuckDB-backed memory and RAG pipeline, then auto-injects that context as additionalContext for later agents. It's a pragmatic, well-scoped solution to the annoying problem of agent amnesia — very useful if you run agent swarms, but its impact is limited by Claude Code adoption and the need for the surrounding infra (BGE keys, hooks).

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