* feat(docs): add multilingual documentation with GitHub Pages deployment * docs(readme): update agent integration documentation with current status
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Overview
Remember Me, Refine Me — a memory management toolkit for AI agents
ReMe turns conversations and resources into readable, editable, and searchable file-based long-term memory. Long-term memory no longer hides inside a black-box database — it lives as Markdown files in a workspace directory that both users and agents can read, write, move, and delete.
English documentation is in progress. The pages below mirror the Chinese structure;
some currently link back to the complete <a href="../zh/index.html">中文文档</a>.
✨ Core Ideas
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:::{grid-item-card} 📄 Memory as File Markdown files with frontmatter and wikilinks act as memory nodes that users and agents can edit directly. :::
:::{grid-item-card} 🌱 Self-evolving knowledge base Auto Memory / Resource / Dream progressively distill conversations and resources into long-term memory, weaving wikilink relationships automatically. :::
:::{grid-item-card} 🔎 Progressive hybrid search wikilinks + BM25 + embeddings combine keyword matching, semantic recall, and relationship expansion. :::
:::{grid-item-card} 🤝 Agent-friendly integration
SKILL.md + CLI integration lets different agents read, write, maintain, and reuse memory.
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🔄 Memory Pipeline
ReMe's capabilities follow a capture → consolidate → recall pipeline:
- Capture — Auto Memory distills conversations into daily cards; Auto Resource interprets resource files.
- Consolidate — Auto Dream extracts and integrates daily notes into
long-term
digest/; Auto Link weaves source and related wikilinks. - Recall — Memory Search does hybrid retrieval with link expansion; Proactive surfaces "what's worth attention today".
The underlying file model and runtime are covered in Memory as File and Framework.
📚 Start Reading
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:::{grid-item-card} 🚀 Quick Start 🔗 quick_start :link-type: doc
Install, launch, and run your first write, index, and retrieval. :::
:::{grid-item-card} 📄 Memory as File 🔗 memory_as_file :link-type: doc
The file-based memory model: layering, frontmatter, wikilinks, chunking. :::
:::{grid-item-card} 🏗️ Framework 🔗 framework :link-type: doc
The Application / Service / Job / Step runtime and dependency injection. :::
:::{grid-item-card} 🧠 Auto Memory 🔗 auto_memory :link-type: doc
How conversations become daily memory cards with preserved provenance. :::
:::{grid-item-card} 🔎 Memory Search 🔗 memory_search :link-type: doc
Index building, hybrid recall, and progressive link expansion. :::
:::{grid-item-card} ✨ Proactive 🔗 proactive :link-type: doc
Reading the day's interest topics to drive proactive reminders and insights. :::
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