ChatGPT Plugin

DocuMemory

Searchable docs from AI chats

Brand: DocuMemory

Category: AI
Primary Subcategory: Personal AI Memory & Second Brain

Integration details

Description

DocuMemory keeps the decisions, fixes, and rules you work out in conversations as searchable documentation, so you don't have to work them out again. Ask ChatGPT to save the part of a discussion worth keeping, and DocuMemory turns it into a structured document with the problem, the decision, and any final code. Ask it to remember a rule or convention, and DocuMemory saves it as a memory you can load at the start of later work. Search by meaning or keyword, open any document, and add to or revise it. Every change keeps the previous version, which you can restore. DocuMemory saves or changes documents only when you ask. ChatGPT may offer to save something useful, but it waits for you to agree first. Documents are organized into projects, in your personal workspace or an organization's shared one. A connection reaches only the one workspace you choose when you sign in, with your own permissions there. You need a DocuMemory account to connect. Setup help and support: https://www.documemory.dev/help

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: AI
Primary Subcategory: Personal AI Memory & Second Brain
Secondary Subcategories: None listed
Brand: DocuMemory
Access: Account required
First tracked: 2026-11-11
Tool count: 16
Market: US

AgentDiscoChatGPT Plugin Discovery Score

ChatGPT organic discovery is live

Not discoverable in ChatGPT yet

ChatGPT now suggests Plugins on its own when they match a user's request, but not every Plugin is being surfaced yet.We haven’t seen DocuMemory suggested yet. Sign up and we’ll track it, and your Discoverability Score will appear here once ChatGPT starts surfacing it.

ChatGPT recommends Airtable when a user asks it to update a CRM. — ChatGPT surfaces Airtable because it matches the user's request.

Primary Subcategory

Competing in ChatGPT Personal AI Memory & Second Brain

View Category

Listed in alphabetical order

Primary Subcategory

2MindComing soonGet notified

AI BrainComing soonGet notified

AI PassportComing soonGet notified

AI Whisper Voice Note TakerComing soonGet notified

AI WisebaseComing soonGet notified

DocuMemoryComing soonGet notified

Tools

16 tools agents can invoke

Add Markdown to an existing document without changing what is already there: at the end, or at the end of one section. Use it for follow-ups — a new finding, a step, a key fact, a dated update. Nothing is distilled; your Markdown is stored as written. The previous version is kept. To change or remove existing text, use revise_doc.
append_to_doc
Create a project to group documents under. Only needed to set a description up front or to create one before any documents exist — save_chat_as_doc, save_memory and create_doc all create a project on demand when given project_name.
create_project
Delete a project. DESTRUCTIVE: with the default strategy its documents are deleted too and cannot be recovered. Confirm with the user before calling, and prefer strategy 'reassign' to keep the documents and move them to Inbox. Never call this to 'tidy up' on your own initiative.
delete_project
Show a document's version history, newest first: who changed it, when, and the note they left. Read an earlier version with read_doc and its version number.
list_doc_versions
List the projects you can access in this workspace, with your access level on each (VIEWER can read; EDITOR can also save documents; MANAGER can also change access). In an organization, call this before saving to pick a project you can write to.
list_projects
Return the most recent documents in this workspace. Defaults to architectural decision records (ADRs); pass doc_type to list memories or another type instead, or 'ANY' for all types.
list_recent_docs
Return every saved MEMORY for a project as one token-optimised block, ready to inject into your working context. Call this at the START of work on a project — before proposing architecture, editing config, or writing migrations — so you are operating on this team's actual constraints rather than defaults. Cheaper and more complete than searching for rules one question at a time.
load_project_context
Fetch the full Markdown of one document by id, as returned by search_docs or list_recent_docs, ending with its current version number. For MEMORY documents the injectable context snippet is returned first, so it can be lifted straight into a system prompt. Pass version to read an earlier version from list_doc_versions.
read_doc
Read an attachment by its ID, including images referenced by /api/v1/attachments/<id> in a saved document. Works for files you uploaded and files linked from documents you can read. Returns image content for images and a binary resource for other files.
read_attachment
Make an earlier version of a document current again, for example to undo a revision. The version being replaced is kept, so a restore can itself be undone. Confirm with the user before restoring over someone else's change.
restore_doc_version
Replace an existing document's body with a revised version you write, when its content is outdated or wrong or needs restructuring. Read it with read_doc first and send the complete new body — anything left out is removed from the current version. The previous version is kept and can be restored with restore_doc_version. To only add material, use append_to_doc.
revise_doc
Saves discussion excerpts, facts, or system rules as a reusable memory context document for AI re-ingestion and team handoffs. Produces standalone key facts plus an ai_context_snippet ready to paste into another model's system prompt. Use this — rather than save_chat_as_doc — when the value is standing context (architecture rules, constraints, conventions, config, domain knowledge, stated preferences) rather than a decision that was reached.
save_memory
Distil a discussion into a structured document (problem, decision, final code, tags) and save it to DocuMemory as a new document. Pass the relevant part of the discussion in its original wording rather than a summary. To update a document that already exists, use append_to_doc or revise_doc instead.
save_chat_as_doc
Hybrid semantic + keyword search across this workspace's documentation. Use it to recall prior decisions, conventions, and fixes before suggesting new ones.
search_docs
Upload actual file bytes supplied by the user. Do not invent binary content or fetch arbitrary URLs. Supply base64 bytes of a static image, PDF, UTF-8 text, ZIP, or Office file up to 3 MB. Returns a private Markdown link to include in create_doc or save_chat_as_doc. For large files, prefer POST /api/v1/attachments with raw bytes and X-Filename instead of passing base64 through model context.
upload_attachment
Write a document straight into DocuMemory from Markdown you compose yourself, with no distillation pass. Use this when asked to author something ('write a setup guide for Docker', 'document this module'). Use save_chat_as_doc or save_memory instead when the material is an existing discussion — those extract from a transcript, this one stores exactly what you write.
create_doc

FAQs

DocuMemory ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology

How do I improve DocuMemory'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 DocuMemory alternatives on ChatGPT?

As of 2026-11-11, DocuMemory competes with 2Mind, AI Brain, AI Passport, AI Whisper Voice Note Taker, AI Wisebase, AiAkiv Memory, AIDAN, AideMemo and 121 more in ChatGPT Personal AI Memory & Second Brain, ranked by public Discoverability Score.

Where is this profile measured?

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