Kirok Memory

Install

Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/tadfuji-kirok-mcp

About

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Permissions

What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.

Tools

9 read · 3 write · 4 delete · 3 not yet classified

Secrets

1 (API keys, tokens or passwords)

Install scripts

Not scanned yet

Runs as

Python package

Tools (19)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

• KIROK_clear_bank

  Delete ALL memories and observations in a bank, keeping the bank itself. Mental models are preserved. This is destructive and cannot be undone. Without confirm=true this makes NO changes and returns a preview of what would be deleted. Only pass confirm=true after the user has explicitly approved deleting this specific bank's contents. Args: bank_id: Bank to clear. confirm: Must be true to actually delete. Defaults to false (preview).

• KIROK_consolidate

  Manually trigger observation consolidation for a bank. Processes unconsolidated memories and synthesizes them into observations — patterns, preferences, and durable knowledge. Args: bank_id: Memory bank to consolidate.

• KIROK_delete_bank

  Permanently delete a bank and ALL its memories, observations, models, and config. This is destructive and cannot be undone. Without confirm=true this makes NO changes and returns a preview of what would be deleted. Only pass confirm=true after the user has explicitly approved deleting this specific bank. Args: bank_id: Bank to delete entirely. confirm: Must be true to actually delete. Defaults to false (preview).

• KIROK_delete_mental_model

  Delete a specific mental model. This is destructive and cannot be undone. Args: model_id: ID of the mental model to delete.

• KIROK_forget

  Delete a specific memory by its ID. This is destructive and cannot be undone. Args: memory_id: ID of the memory to delete.

• KIROK_get_bank_config

  Get the current configuration for a memory bank. Args: bank_id: Memory bank to query.

• KIROK_get_memory

  Get full details of a specific memory by its ID. Args: memory_id: The memory ID to look up.

• KIROK_get_mental_model

  Get full details of a specific mental model. Args: model_id: The mental model ID to look up.

• KIROK_list_banks

  List all available memory banks with their memory counts.

• KIROK_list_memories

  List memories in a bank with pagination, ordered by most recent. Args: bank_id: Memory bank to browse. limit: Maximum number of memories to return (default 20, max 100). offset: Number of memories to skip for pagination (default 0).

• KIROK_list_mental_models

  List mental models (insights generated by Reflect) for a bank. Args: bank_id: Memory bank to list mental models from. limit: Maximum number of models to return (default 10).

• KIROK_recall

  Search and retrieve relevant memories using semantic similarity and keyword matching, merged with Reciprocal Rank Fusion. Args: bank_id: Memory bank to search. query: Natural language search query. limit: Maximum number of results (default 10, max 50). time_min: Optional ISO 8601 lower bound for timestamp filtering. time_max: Optional ISO 8601 upper bound for timestamp filtering. verbose: If True, also show relevance scores (RRF/Sim) per item. Default False keeps the output compact (content + ID only) to save context tokens.

• KIROK_reflect

  Reflect on accumulated memories to generate new insights. Retrieves relevant memories, analyzes them with an LLM, and saves the resulting insight as a 'mental model' for future reference. Args: bank_id: Memory bank to reflect on. query: What to reflect on (question, topic, or open-ended prompt). limit: Max memories to consider (default 20, max 100). auto_refresh: Whether to refresh this model after future consolidations. source_query: Optional query to use for future refreshes. Defaults to query.

• KIROK_refresh_mental_model

  Refresh an existing mental model by re-analyzing current memories. Updates the insight based on the latest data in the bank. Args: model_id: ID of the mental model to refresh. limit: Max memories to consider (default 20, max 100).

• KIROK_retain

  Store new information in agent memory. Automatically extracts entities and keywords, generates a semantic embedding, and indexes for later retrieval. Smart Deduplication (inspired by Mem0): If the new content is highly similar to existing memories (cosine > 0.85), the system will decide whether to ADD (new info), UPDATE (enrich existing), or NOOP (skip). Args: bank_id: Memory bank identifier (e.g. 'antigravity', 'user-prefs'). content: The information to remember. context: Optional free-text source of this memory (e.g. 'project meeting', 'code review'). Stored and displa…

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1

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Weekly downloads

27

Last commit

Sep 25, 2026 (1 month ago)

Last release

Jul 20, 2026 (3 months ago)

Last package publish

Jul 20, 2026 (3 months ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Registry name

io.github.TadFuji/kirok-mcp

Version

1.4.2

Auth

API key

Packages

pypi kirok-mcp

License

MIT

Repository

github.com/TadFuji/kirok-mcp

First seen

Oct 24, 2026

Last checked

Oct 24, 2026

Source

Official MCP Registrygithub-graphql