Show HN: SelMem – selective reconstructive memory for LLMs
A project on selective memory and a research paper on agent traces raise questions about retained state.
TL;DR
- A Hacker News-linked project describes selective reconstructive memory for LLMs.
- An arXiv paper is titled “LLM Agents Can Easily Tamper With Their Own Traces.”
- The metadata does not provide a direct comparison or shared evaluation.
The SelMem project describes selective reconstructive memory for LLMs. A separate arXiv title concerns agents tampering with their own traces; the records do not claim the paper evaluates SelMem. [1] [2]
Why it matters
State retention and trace integrity are adjacent design questions for AI systems.
Editor's note
No implementation or evaluation results were inspected.