memsearch

项目详情摘要

  memsearch Cross-platform semantic memory for AI coding agents. 📰 What's New **Optional Jev reranking** — rerank memory search results with Jev through the TypeSafe API, with no local model download. See configuration and the Chinese/English evaluation. **DeepSeek Harness support** — MemSearch now brings automatic capture, pre-step memory injection, native skill-based recall, background maintenance, and a read-only memory browser to DeepSeek Harness (DSH). **Skills from memory** — MemSearch now distills the workflows you repeat into reusable, installable agent skills (a third "procedural memory" layer) and keeps them up to date in the background. See Skills from Memory. **Advanced memory maintenance** — optional background tasks keep durable `PROJECT.md` and `USER.md` notes current across sessions. See Advanced Memory Maintenance. Why memsearch? 🌐 **All Platforms, One Memory** — memories flow across Claude Code, Codex, DeepSeek Harness, OpenClaw, and OpenCode. A conversation in one agent becomes searchable context in all others — no extra setup 👥 **For Agent Users**, install a plugin and get persistent memory with zero effort; **for Agent Developers**, use the full CLI and Python API to build memory and harness engineering into your own agents 📄 **Markdown is the source of truth** — inspired by OpenClaw. Your memories are just `.md` files — human-readable, editable, version-controllable. Milvus is a "shadow index": a derived, rebuildable cache 🔍 **Progressive retrieval, hybrid search, smart dedup, live sync** — 3-layer recall (search → expand → transcript); dense vector + BM25 sparse + RRF reranking; SHA-256 content hashing skips unchanged content; file watcher auto-indexes in real time 🧑‍💻 For Agent Users Pick your platform, install the plugin, and you're done. E