ReMe

<strong>A local-first, self-evolving personal knowledge base for AI agents.</strong><br>

Previous versions: 0.3.x · 0.2.x · MemoryScope

🧠 ReMe turns conversations and resources into readable, editable, searchable, and interconnected Markdown memory. It works alongside agents such as QwenPaw, OpenClaw, Hermes, and Claude Code, continuously organizing what they learn while keeping the files under the user's control.

✨ Core Ideas

• Memory as File, File as Memory: Markdown files with frontmatter and wikilinks serve as memory nodes that both users and agents can inspect, edit, move, and back up directly.
• Self-evolving knowledge base: Auto Memory, Auto Resource, and Auto Dream progressively transform conversations and resources into daily notes and long-term knowledge, while Auto Link writes relationships and sources back into the files.
• Progressive hybrid search: ReMe combines wikilinks, BM25, and embeddings for hybrid retrieval across keyword matching, optional semantic recall, and relationship expansion without loading every neighboring file into context.
• Agent-friendly integration: SKILL.md + CLI integration makes it easy for different agents to read, write, maintain, and reuse the same local workspace. HTTP, MCP, and Python integrations are also available.

🔭 Use Cases

• Personal assistants: Give personal assistants such as QwenPaw, OpenClaw, and Hermes a user-editable long-term memory layer.
• Coding agents: Preserve coding style, project background, repository decisions, and workflow experience across sessions when integrating with coding agents such as Claude Code.
• LLM Wiki: Turn conversations, notes, and resources into a searchable, traceable, and linked Markdown knowledge base that both users and agents can maintain.
• Self-evolving agents: Support agents that learn from experience by saving successful paths, failed attempts, reusable procedures, and periodic reflections as memory.

📰 News

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