Show HN: MemStitch – Zero-copy context bridging for vLLM (25x TTFT speedup)
Summary
MemStitch introduces Context-Stitcher, a zero-copy gateway for multi-agent GPU inference that bridges KV caches across agents to eliminate repeated prefill and reduce TTFT. It uses context topology hashing, Merkle-like fingerprints, and a zero-trust gate to enable secure, shared memory references between agents, with a Python SDK and OpenAI-compatible REST API for integration. The project aims to accelerate collaborative LLM workflows while managing security and resource efficiency.