I built "Semvec": A Constant-Cost Semantic Memory for LLMs (Looking for testers!)

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ClaudeAI

Hey everyone, If you build LLM applications, autonomous agents, or just use Claude/Cursor for coding, you've probably hit this wall: Conversation history grows infinitely, token costs explode, latency skyrockets, and eventually, the LLM starts forgetting early context anyway. To fix this, I built semvec. It replaces unbounded conversation histories with a fixed-size semantic state combined with a tiered, content-aware memory (short/medium/long-term). The result: The cost and latency of every LLM

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