MemoryPlugin

com.memorypluginPublished by memoryplugin.comOfficial publisherv1.0.0Updated Oct 24, 2026

Give every AI you use one shared, permanent memory. Store once, recall in whichever AI you open.

VerifiedStreamable HTTPWeb executableProductivity & WorkflowFiles & StorageKnowledge & Memory

Overview

AI-generated overview

A remote memory service that lets an assistant save, organize, search and recall a user's memories, uploaded documents and past AI conversations across chats.

What you can do
Save memories and organize them into buckets, including creating buckets and editing or moving memories between them. Retrieve saved memories and bucket lists, and browse Smart Memory categories with their summaries. Search memories by hybrid semantic and keyword search, and search documents in the user's uploaded document library. Recall past AI conversations, with summaries, full transcripts, JSON export and an AI-generated overview of the user.
When to use it
Useful when a user wants facts, preferences or project details to persist across different AI assistants, or wants an assistant to look back at earlier conversations and uploaded documents. Best for people who already keep a MemoryPlugin account and want one shared memory across tools.
Requirements
A remote endpoint at memoryplugin.com over streamable HTTP; no local runtime, packages, environment variables or headers are declared. It works against the user's MemoryPlugin account, and some features such as Smart Memory categories and the chat history overview depend on those being enabled or generated in the MemoryPlugin dashboard.
Before you install
The server reads and writes the user's stored memories, uploaded documents and synced conversation history, so an assistant can change or reorganize saved data. Conversation export returns a temporary download link that needs no authentication while it is valid, so treat that link as sensitive. Syncing past conversations means their content is held in the MemoryPlugin account.

Installation

In SourceWeft

  1. Open MemoryPlugin in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/com.memoryplugin%2Fmemory/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "memoryplugin": {
      "type": "http",
      "url": "https://www.memoryplugin.com/api/mcp/mcp"
    }
  }
}

Tools

14

store_memory

Store memory

Save information to the user's MemoryPlugin account. MemoryPlugin lets users build persistent memory across AI conversations. WHEN TO USE: When the user asks to remember something, or confirms that a specific fact, preference, decision, or project detail from the conversation should be kept for later. Save only that item. Ask the user which bucket to save to if unclear. Buckets are organizational folders (e.g., 'Work', 'Personal', 'Health').

ParameterstextrequiredbucketId

list_buckets

List buckets

List the user's memory buckets. Buckets are organizational folders for memories (e.g., 'Work', 'Personal', 'Health').

Takes no parameters.

create_bucket

Create bucket

Create a new bucket to organize memories. Buckets are folders like 'Work', 'Personal', 'Health'. Ask the user for a name if not specified.

Parametersnamerequired

get_memories_and_buckets

Get memories and buckets

Retrieve the user's saved memories from MemoryPlugin, optionally filtered by bucket. Also returns the list of available buckets. Use when the user asks what you know about them or refers to something they saved earlier.

ParametersallcountquerylatestbucketId

list_bucket_categories

List bucket categories

List AI-generated categories within a bucket. When users activate Smart Memory, their memories are automatically organized into topic-based categories. Returns for each category: - name: Category title - summary: Dense overview of core facts, preferences, current projects, key context (~200 words) - additionalInfo: Lists specific topics available in this category and suggests when to load the full memories - memoryCount: Number of memories in category Also returns recentMemories: the 30 most recent memories in the bucket. Use the summary and additionalInfo to decide if/when to load full memories via list_category_memories.

ParametersbucketIdrequired

list_category_memories

List category memories

Get all memories within a specific Smart Memory category. Use when a category's summary (from list_bucket_categories) indicates it's relevant to the current conversation. The categoryId persists across conversations.

ParameterslimitbucketIdrequiredcategoryIdrequired

search_memories

Search memories

Search the user's saved memories using hybrid semantic + keyword search. Returns matching memories ranked by relevance. MemoryPlugin stores memories the user wants to persist across AI conversations. Use when looking for specific saved information.

ParameterslimitqueryrequiredbucketId

search_uploaded_files

Search uploaded files

Search documents the user has uploaded to their MemoryPlugin document library (not files uploaded directly to this conversation). MemoryPlugin file buckets store documents persistently across all AI chats. Returns relevant text passages with source file and page info. Use when: - User explicitly mentions their MemoryPlugin documents - User asks about "my files" or "my documents" and there are no files in the current conversation - If unsure whether they mean MemoryPlugin files or conversation files, ask to clarify

ParameterstopKqueryrequiredbucketId

get_conversation_summary

Get conversation summary

Get details of a specific past conversation. For short conversations (<5K tokens), returns the full transcript. For longer conversations, returns an AI-generated summary. Use when the user wants to dive deeper into a conversation returned by recall_chat_history. Requires the conversationId from that tool's sources array.

ParametersconversationIdrequired

get_full_conversation

Get full conversation

Get the complete transcript of a specific past conversation. Returns all messages in the conversation without summarization. Use when you need the raw conversation content. Requires the conversationId from recall_chat_history's sources array.

ParametersconversationIdrequired

export_conversation

Export conversation

Download the complete transcript of a past conversation as a machine-readable JSON file. Returns a temporary download URL (expires in 15 minutes, no auth needed) that you fetch yourself to get the full conversation as structured messages (role, content, timestamp). Use when a transcript is too long to read inline, or when you need it as a file for analysis or scripting. To read a short transcript directly, use get_full_conversation instead. Requires the conversationId from recall_chat_history's sources array.

ParametersconversationIdrequired

recall_chat_history

Recall chat history

Search and synthesize context from the user's past AI conversations that they have synced into their MemoryPlugin account. WHEN TO USE: When the user asks about their past decisions, patterns, preferences, relationships, projects, or a specific earlier conversation. HOW TO USE: - For simple lookups: a single query is fine - For complex/multifaceted topics: use parallel queries (via 'queries' array) approaching from different angles - timeline, emotions, people, decisions, outcomes, etc. - Set maxTokens per query (300-1000) to control how much context is returned. More tokens = richer detail but consumes more conversation window. - Use 'before'/'after' (ISO 8601 dates like "2025-01-15" or "2025-01-15T10:30:00Z") to constrain results to a date range. Bare dates are interpreted in UTC and are inclusive on both ends. - Use 'mode: "quality"' for slower but more thorough recall on hard or ambiguous queries; defaults to 'speed'. - If unclear how much context to fetch, ask the user. Returns synthesized summaries (not raw conversation logs) with source metadata for citations.

ParametersmodeafterquerybeforequeriesplatformmaxTokensconversationContext

update_or_move_memories

Update or move memories

Edit a single memory's text or bucket, or move multiple memories to a different bucket. WHEN TO USE: When the user wants to correct, update, or reorganize their saved memories. Single memory: provide memoryId with optional text and/or bucketId/bucketName. Bulk move: provide memoryIds array with bucketId or bucketName. Bucket can be specified by ID (number) or name (string). If a name is given and no bucket exists with that name, one is created automatically.

ParameterstextbucketIdmemoryIdmemoryIdsbucketName

chat_history_overview

Chat history overview

Returns an AI-generated overview of the user, built from the chat history they have synced into their MemoryPlugin account. Use when the user asks what you know about them or asks you to load their background. If no overview exists yet, the user can generate one from their MemoryPlugin dashboard.

Takes no parameters.

Version history

1
  1. v1.0.0LatestSep 16, 2026

Score

83% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listedRequired15 pts
  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts

    Declare a GitHub repository with a README, or serve resource_documentation in the OAuth protected-resource metadata.

  • LicenseNot applicable

    A hosted service is used under its provider's terms, so no license is expected here. This check is left out of the percentage.