administrator f9dc61e32c Add Knowledgebase MCP server — persistent memory for Claude conversations ...

PostgreSQL-backed knowledge store with hybrid search:
- Full-text search via tsvector (always available)
- Semantic reranking via Voyage AI embeddings + Python cosine similarity
- Tables: kb_memories, kb_sessions, kb_messages
- Tools: store_memory, store_conversation, search, get_context, get_recent, stats

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

2026-06-06 11:55:26 +02:00

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feedback_proactive_suggestions.md

notebook

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feedback_use_mcp_emaily.md

notebook

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feedback_worktree.md

Add Claude memory store synced via Gitea

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MEMORY.md

Add Knowledgebase MCP server — persistent memory for Claude conversations

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project_claude_learning.md

Migrate IWRS from MySQL to MongoDB

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project_covance.md

Add Claude memory store synced via Gitea

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project_dropbox_file_transfer.md

Add Claude memory store synced via Gitea

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project_edc_mongo.md

Add Claude memory store synced via Gitea

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project_graph_email_import.md

Add Claude memory store synced via Gitea

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project_iwrs_mongo.md

Migrate IWRS from MySQL to MongoDB

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project_knowledgebase_mcp.md

Add Knowledgebase MCP server — persistent memory for Claude conversations

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project_mcp_emaily.md

notebook

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project_mcp_soubory.md

notebook

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project_python_runner.md

Add Knowledgebase MCP server — persistent memory for Claude conversations

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setup_memory_sync.md

Document memory sync setup in memory store

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