Search / ai.workingmemory/memory
protogridR0· no sign-inPersistent personal memory for AI assistants — save, search, and recall across every MCP client.
v1.0.0 · active · website · descriptor JSON · versions
{
"mcpServers": {
"memory": {
"type": "http",
"url": "https://app.workingmemory.ai/mcp"
}
}
}claude mcp add --transport http memory https://app.workingmemory.ai/mcp[mcp_servers.memory]
url = "https://app.workingmemory.ai/mcp"
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"memory": {
"type": "remote",
"url": "https://app.workingmemory.ai/mcp",
"enabled": true
}
}
}{
"mcpServers": {
"memory": {
"type": "http",
"url": "https://app.workingmemory.ai/mcp"
}
},
"deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=memory&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vYXBwLndvcmtpbmdtZW1vcnkuYWkvbWNwIn0%3D"
}{
"servers": {
"memory": {
"type": "http",
"url": "https://app.workingmemory.ai/mcp"
}
}
}{
"mcpServers": {
"memory": {
"httpUrl": "https://app.workingmemory.ai/mcp"
}
}
}extensions:
"memory":
enabled: true
name: "memory"
type: streamable_http
uri: "https://app.workingmemory.ai/mcp"
timeout: 300
protocol.modernsupports 2026-07-28 (server/discover)protocol.statelessanswers without a sessionprotocol.transportstreamable HTTPprotocol.list_ttltool list is cacheable (ttlMs 3600000)auth.prm, auth.as_metadata, auth.cimdno remote uses OAuthauth.secret_in_urlno templated URLtools.descriptionsevery tool has a descriptiontools.description_lengthdescriptions are concisetools.schemasevery tool has an object input schematools.annotations4 of 4 tools declare readOnlyHint or destructiveHinttools.directory_hints3 of 4 tools declare all four hints; missing: search_memory (destructiveHint, idempotentHint)tools.token_costabout 1,055 tokens to load every tooltools.api_dumptools are not a one-to-one API dumpstability.changesno tool changes in 30 daysstability.rug_pullno tool changed its meaning under the same namedeps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI packageNo tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.
Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.
+dns-namespace +website +reachable +uptime-98% ~updated-94d-ago -no-repository
Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.
| remote | auth | reachable | uptime 30d | p50 | protocol | last ok |
|---|---|---|---|---|---|---|
https://app.workingmemory.ai/mcp streamable-http | none | yes | 98% | 314 ms | 2026-07-28, 2025-11-25 | 2026-10-19 |
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. |
manage_memorydestructive | 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. |
save_memory | 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. |
search_memoryread-only | 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. |
Schemas: list_tools.
{
"name": "ai.workingmemory/memory",
"icons": [
{
"src": "https://app.workingmemory.ai/icons/icon-512.png",
"sizes": [
"512x512"
],
"mimeType": "image/png"
}
],
"title": "WorkingMemory",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"remotes": [
{
"url": "https://app.workingmemory.ai/mcp",
"type": "streamable-http"
}
],
"version": "1.0.0",
"websiteUrl": "https://workingmemory.ai",
"description": "Persistent personal memory for AI assistants — save, search, and recall across every MCP client."
}