memsearch

项目详情摘要

  memsearch Cross-platform semantic memory for AI coding agents. 📰 What's New **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. Each plugin captures conversations automatically and provides semantic recall with zero configuration. For Claude Code Users After restarting, just chat with Claude Code as usual