ChatGPT Plugin

Kumbukum

Shared AI memory

Brand: Kumbukum

Category: AI
Primary Subcategory: Enterprise Knowledge Search & AI Context Layer

Integration details

Description

Kumbukum gives ChatGPT access to a user's authenticated private memory workspace. Users can search and retrieve notes, memories, and project metadata, then create new private notes and memories when requested.

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: AI
Primary Subcategory: Enterprise Knowledge Search & AI Context Layer
Secondary Subcategories: None listed
Brand: Kumbukum
Access: Account required
First tracked: 2026-07-02
Tool count: 12
Market: US

Agent DiscoverabilityChatGPT Discoverability ScoreUpdated daily

The first to track the ChatGPT, Claude, Muse, Grok & Google ecosystems, with the largest database on the core platforms. Tracked daily since 1 December 2025.

KumbukumChatGPT Plugin · Enterprise Knowledge Search & AI Context Layer

Discoverability Score

0/100

Invisible

Category rank

#39of 77

in Enterprise Knowledge Search & AI Context Layer

Picked: 0.0/100
Found: 0.0/100
Positioned: –/100

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Category leaderboard

Enterprise Knowledge Search & AI Context Layer

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Primary Subcategory

Competing in ChatGPT Enterprise Knowledge Search & AI Context Layer

View Category

Listed in alphabetical order

Primary Subcategory

AgentContext0/100

Algolia Productivity0/100

Analytics Brain0/100

Archiveye0/100

Atlan0/100

Kumbukum0/100

Tools

12 tools agents can invoke

Create a new note in a project
Get a project by ID
Get per-project document counts (notes, memories, URLs)
List notes, optionally filtered by project
List all projects
Read a specific memory by ID
Read a note by ID
Search memories semantically for prior decisions, debugging history, user preferences, task outcomes, or agent-scoped learnings. Use per_page: 3 for the first focused retrieval. Omit project_id to search across all projects.
Alias for recall_memory — search memories semantically for prior decisions, debugging history, user preferences, task outcomes, or agent-scoped learnings. Use per_page: 3 for the first focused retrieval. Omit project_id to search across all projects.
Search notes using semantic/text search. Use only for specs, docs, ADRs, structured write-ups, or when search_knowledge results point to notes. Use per_page: 3 for first focused retrieval. Omit project_id to search across all projects.
Store a new memory — use this to persist important conversation context, decisions, or learnings
Get suggested tags based on existing memory tags

FAQs

Kumbukum ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology

How do I improve Kumbukum's ChatGPT Plugin discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

What are Kumbukum alternatives on ChatGPT?

As of 2026-11-03, Kumbukum competes with Dropbox Dash, AgentContext, Algolia Productivity, Analytics Brain, Archiveye, Atlan, Big Documents Agent, BitsWeave and 68 more in ChatGPT Enterprise Knowledge Search & AI Context Layer, ranked by public Discoverability Score.

Where does Kumbukum rank in Enterprise Knowledge Search & AI Context Layer on ChatGPT?

As of 2026-11-03, Kumbukum ranks #39 of 77 in ChatGPT Enterprise Knowledge Search & AI Context Layer with a Discoverability Score of 0/100 (Invisible).

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.

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Competing in ChatGPT Enterprise Knowledge Search & AI Context Layer

12 tools agents can invoke

Kumbukum ChatGPT Plugin FAQ