ReMe

项目详情摘要

A local-first, self-evolving personal knowledge base for AI agents. Previous versions: 0.3.x · 0.2.x · MemoryScope ✨ Why ReMe? 🧠 ReMe turns conversations and resources into readable, editable, searchable, and interconnected Markdown memory. Agents such as QwenPaw and DeepSeek Harness can share the same workspace to retrieve, maintain, and evolve knowledge, while users retain control of the durable files. **Memory as File, File as Memory**: ReMe stores durable memory as ordinary Markdown with frontmatter and wikilinks. Users and agents can inspect, edit, move, sync, and back it up with familiar tools, while indexes and generated metadata remain rebuildable. **Self-evolving knowledge base**: ReMe progressively turns conversations and resources into daily notes and long-term knowledge, preserving sources while refining facts, preferences, procedures, and relationships over time. **Recall is precise and context-aware.** BM25, optional embeddings, and wikilink expansion retrieve relevant line-level passages and their relationships without loading the entire knowledge base into the agent context. **One memory workspace works across agents.** Personal assistants, coding agents, and other agent runtimes can share the same local workspace through native integrations, SKILL.md, CLI, HTTP, MCP, or Python APIs. 📰 Latest Updates [2026.09] - **Hermes Agent memory provider available**: choose HTTP or embedded mode for automatic recall before model calls and asynchronous `auto_memory` after completed turns. The integration supports Hermes Agent 0.21+ and includes profile-aware background work. [2026.09] - **OpenClaw plugin released**: install it from ClawHub or npm to add native memory recall, automatic conversation capture, and scheduled consolidation to OpenClaw. [2026.09] - **DeepSe