Skip to main content

Documentation Index

Fetch the complete documentation index at: https://docs.memorycrystal.ai/llms.txt

Use this file to discover all available pages before exploring further.

Knowledge Bases are the shelf of books your AI can read when it needs stable reference material.

​
What this means in practice

Use them for:
  • documentation
  • policies
  • runbooks
  • reference notes
  • scoped project or workspace knowledge
They are different from conversational memory because they are meant to stay stable and be queried deliberately.

​
How it actually works

Key repo surfaces:
  • convex/crystal/knowledgeBases.ts
  • convex/crystal/knowledgeHttp.ts
  • packages/mcp-server/README.md
  • convex/schema.ts

​
Commands / examples

Representative tool names:
  • crystal_list_knowledge_bases
  • crystal_query_knowledge_base
  • crystal_import_knowledge

​
Common mistakes

  • treating Knowledge Bases as just another name for memory stores
  • forgetting the difference between stable reference data and conversational memory
  • documenting import/query behavior without checking the actual HTTP/tool surfaces

​
Source of truth

Primary files behind this page:
  • convex/crystal/knowledgeBases.ts
  • convex/crystal/knowledgeHttp.ts
  • packages/mcp-server/README.md
  • convex/schema.ts