AttentionBlock

4 ms·

1.
by AttentionBlock 9mo ago
great question claude-mem uses a compaction approach. It records session activity, compresses it, and injects summaries into future sessions. Great for replaying what happened. A-MEM builds a self-evolving knowledge graph. Memories aren’t c
2.
by AttentionBlock 9mo ago
Thanks for the feedback I am planning to extend for other agents. But now it should work with some caveats. I have configured claude specific hooks, the hooks keeps reminding Claude Code to use the memory when needed. Without them, the agen
3.
Show HN: A-MEM – Memory for Claude Code that links and evolves on its own(github.com)
8 points by AttentionBlock 9mo ago|4 comments
4.
by AttentionBlock 9mo ago
meta-analysis, make Claude write a blog post, connecting and deriving set of concepts across a range of books, articles, papers, etc. Basically a syntopic reading machine. Its a meaty side project (and expensive), but I am curious how close
5.
by AttentionBlock 9mo ago
Thanks for the pointer! But it seems to me beads is a different tool? Beads is a task tracker for multi-agent system, A-MEM is agentic memory for accumulated knowledge.
6.
Show HN: Persistent Memory for Claude Code (MCP)(github.com)
7 points by AttentionBlock 9mo ago|2 comments
7.
by AttentionBlock 9mo ago
> It’s a cynical way to view the C-staff of a company. I think it’s also inaccurate: from my limited experience, the people who run large tech companies really do want to deliver good software to users. I strongly disagree with this stat
8.
Show HN: I built an app where AI models debate real Polymarket events(polymarketaibets.com)
1 points by AttentionBlock 1y ago|0 comments
9.
by AttentionBlock 1y ago
Using LLM as a judge architecture to optimize multi-agent system prompts and configurations. For now it's achieved through LLM based consensus system that evaluates another LLM output, and based on its performance for a specific task,
10.
by AttentionBlock 4y ago
Paywall-ed and extra not available in my country :(