WorkingMemory is a remote MCP server that gives an assistant persistent personal memory: save notes and facts, search them later, and delete items.
What you can do
Save thoughts, insights, facts, todos, or pasted notes from another assistant as structured memory items
Search stored notes and facts to recall context before answering
Delete an existing memory item by id, with a 30-day recoverable soft delete
Capture durable facts automatically from a completed task, without the user doing anything
When to use it
Useful when you want an assistant to remember facts and notes across sessions and across different MCP clients, or when the user refers back to something stored earlier and expects it to be recalled.
Requirements
A remote MCP endpoint at app.workingmemory.ai over streamable HTTP; no packages, environment variables or headers are declared. The tools expect a conversation id to be passed in client.conversation_id.
Before you install
Saved content is stored on a third-party service and becomes searchable, so avoid putting secrets or sensitive personal data into memories. The capture tool stores facts from task output automatically without the user acting, so review what gets written. Deletion is a soft delete that stays recoverable for 30 days rather than being erased immediately.
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/ai.workingmemory%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.
Save a thought, insight, fact, or todo to the user's Working Memory. The text is parsed and stored as one or more structured memory items, searchable a moment later via search_memory. Also use this when the user pastes memories or notes brought from another assistant — pass the full pasted text; it is split into individual memories automatically.
Parameterstextrequiredclient
search_memory
Search memory
Search the user's Working Memory for relevant past notes and facts. Use this when the user references something they may have stored earlier, or to find related context before answering. Always include your conversation id in client.conversation_id.
Manage an existing memory item. Currently supports deleting a memory by id (soft delete — recoverable for 30 days). Use search_memory to find the id first.
Parametersidrequiredactionrequired
capture_memory
Capture memory
Capture durable facts from a task you just completed (drafting an email, summarizing a document, making a decision), as a byproduct — the user does nothing. Pass the task output/content; durable facts are extracted and stored automatically. Always include your conversation id in client.conversation_id. Returns immediately; extraction happens in the background.
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.