Show HN: MemStitch – Zero-copy context bridging for vLLM (25x TTFT speedup)

Category: infrastructure

Tags: inference, vllm, kv-cache

Score: 7.5/10 (Innovation: 8, Technical: 8, Documentation: 7, Utility: 7)

MemStitch is a zero-copy context bridging gateway for multi-agent GPU inference, allowing agents to share KV cache blocks and avoid redundant prefill phases. It uses cryptographic hashing and memory-level stitching to achieve up to 25x TTFT speedup and reduced VRAM usage. The project is particularly innovative for its approach to inter-agent cache reuse and includes a real-time monitoring dashboard.

Target audience: backend devs, ml engineers, data engineers

Repository: https://github.com/DaqulaLin/MemStitch · HTML

View on Hacker News