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Inked

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from coldielb

A memory management server for Claude apps with optional AI-powered search, using local SQLite storage.

๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅโœ“ VerifiedFreeQuick setup

Inked

A powerful MCP server for memory management with Claude apps. Fast, simple, and optionally enhanced with AI-powered search.

<a href="https://glama.ai/mcp/servers/@coldielb/inked"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@coldielb/inked/badge" /> </a>

Features

  • Fast text search - Lightning-fast memory retrieval by default
  • AI-powered search - Optional embedding-based semantic search currently not working as of 06/25/25
  • AI reranking - Experimental reranking for even better results
  • Simple storage - Plain text storage in SQLite (no encryption overhead)
  • Secure - All data stored locally in ~/.inked/

Experimental Features

AI-Powered Search (Optional)

Inked supports experimental embedding-based search for more nuanced memory retrieval.

Embedding Models

FlagModelMemory UsageBest For
--use-embeddingsQwen3-0.6B~2GB RAMShort memories, quick responses
--use-embeddings=4bQwen3-4B~8GB RAMLonger memories, better nuance
--use-embeddings=8bQwen3-8B~16GB RAMComplex memories, documents

Reranking Models (Requires embeddings)

FlagModelAdditional MemoryBest For
--use-rerankingQwen3-Reranker-0.6B~1GB RAMImproved relevance
--use-reranking=4bQwen3-Reranker-4B~4GB RAMBest result quality

How to Choose Models

For most users: Start with no flags (fast text search)

For better semantic understanding: Add --use-embeddings

  • Good for finding memories by meaning rather than exact words
  • First run downloads ~2GB model (one-time)

For nuanced, longer memories: Use --use-embeddings=4b

  • Better at understanding context in longer text
  • Handles more complex relationships between ideas

For best results: Add --use-reranking with embeddings

  • AI re-scores top candidates for optimal ranking
  • Significantly improves search quality

For power users: --use-embeddings=8b --use-reranking=4b

  • Best possible search quality
  • Requires 20+ GB RAM
  • Good for research, documentation, complex projects

Memory Requirements

ConfigurationRAM NeededDownload SizeFirst Launch
Default (text)~50MB0MBInstant
Basic embeddings~2GB~1.2GB2-5 minutes
4B embeddings~8GB~4GB5-10 minutes
8B embeddings~16GB~8GB10-20 minutes
+ Reranking+1-4GB+0.5-2GB+1-3 minutes

Models are cached locally and only downloaded once

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Tools

read

Search and retrieve memories.

Parameters:

  • search (required): Query string or "ALL" for everything
  • topr (optional): Number of results (1-5, default: 3)

write

Add or delete memories.

Parameters:

  • content (required): Memory text (NEW) or search query (DELETE)
  • sTool (required): "NEW" or "DELETE"
  • id (optional): Specific ID to delete

License

AGPL v3 - Open source for personal use. Commercial use requires either open-sourcing your application or a commercial license.