vMem
Virtual memory for LLM context. For Claude Code and every AI agent.
Your AI never forgets — no more "context compacted" interruptions.
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One-line install via Claude Code:
/install-plugin github:soolaugust/vMem
The problem: context compaction kills your flow
If you use Claude Code, you know this pain:
⚠️ Auto-compact: conversation is approaching context limit...Every time this happens, your AI loses track of decisions, constraints, and hard-won context. You re-explain. It re-learns. Hours of accumulated understanding — gone in one compaction event.
And if you run multiple agents? They can't share what they've learned. Each one starts from zero.
This isn't a model limitation. It's a missing infrastructure layer.
The solution: persistent context that survives compaction
vMem gives your AI agents persistent, retrievable context managed like virtual memory: the context window is the hot working set, and durable knowledge lives outside it until demand-paged back in.
