Tensormesh
Tensormesh sells a shared KV cache for LLM serving, so a model does not redo work it has already done when the same prompt, tool list or chat history comes…
Tensormesh sells a shared KV cache for LLM serving, so a model does not redo work it has already done when the same prompt, tool list or chat history comes back. It comes two ways: a hosted serverless API (OpenAI-compatible, pay per token, with cached input tokens billed at $0 for the models that list it, plus reserved GPUs by the hour) and the Tensormesh Platform, a Kubernetes install that adds a multi-tier cache (GPU memory, host memory, filesystem) to your own vLLM fleet. The engine underneath, LMCache, is open source (Apache-2.0, 12.0k stars on its GitHub page, read 2026-10-09). Relation to our focus: this is the KV cache itself, and their own posts run open-weight models inside coding agents (Codex CLI and Claude Code) through the serverless API.
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Company details
| Industry | AI & Machine Learning |
| Website | Visit Tensormesh |
Others in the same industry
5 namesWhere Tensormesh sits against the other names we cover on this beat. Each line is that company’s verdict, not a summary of it.
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Palantir
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