# WorkingMemory

> Persistent personal memory for AI assistants — save, search, and recall across every MCP client.

- name: ai.workingmemory/memory
- version: 1.0.0
- connection class: R0 (autonomous)
- trust: 75/100 flags: no-repository
- quality: 97/100 (strong)
- owner: not claimed
- descriptor: https://api.protogrid.dev/v1/servers/ai.workingmemory%2Fmemory
- tools: https://api.protogrid.dev/v1/servers/ai.workingmemory%2Fmemory/tools

**An agent can connect right now, no human step.** Remote endpoint, no authentication, reachable on the last probe.

## Connection (mcpServers)

```json
{
  "mcpServers": {
    "memory": {
      "type": "http",
      "url": "https://app.workingmemory.ai/mcp"
    }
  }
}
```


## Trust

- hygiene: 80
- liveness: 99
- freshness: 65
- provenance: 55
- drivers: +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.

## Quality 97/100 (strong)

### protocol: 100 (weight 25)

- pass `protocol.modern`: supports 2026-07-28 (server/discover)
- pass `protocol.stateless`: answers without a session
- pass `protocol.transport`: streamable HTTP
- pass `protocol.list_ttl`: tool list is cacheable (ttlMs 3600000)

### authorization: n/a (weight 15)

- n/a `auth.prm`, `auth.as_metadata`, `auth.cimd`: no remote uses OAuth
- n/a `auth.secret_in_url`: no templated URL

### tool hygiene: 93 (weight 30)

- pass `tools.descriptions`: every tool has a description
- pass `tools.description_length`: descriptions are concise
- pass `tools.schemas`: every tool has an object input schema
- pass `tools.annotations`: 4 of 4 tools declare readOnlyHint or destructiveHint
- warn `tools.directory_hints`: 3 of 4 tools declare all four hints; missing: search_memory (destructiveHint, idempotentHint)
- pass `tools.token_cost`: about 1,055 tokens to load every tool
- pass `tools.api_dump`: tools are not a one-to-one API dump

### stability: 100 (weight 15)

- pass `stability.changes`: no tool changes in 30 days
- pass `stability.rug_pull`: no tool changed its meaning under the same name

### dependencies: n/a (weight 15)

- n/a `deps.known_vulns`, `deps.mcp_sdk_version`, `deps.resolvable`: no npm or PyPI package

- tools: 4, about 1,055 tokens to load them all
- tool set hash: 0946bc0f914ee7de4e3e28472ec5fa39
- badge: [![protogrid quality](https://protogrid.dev/badge/ai.workingmemory/memory.svg)](https://protogrid.dev/servers/ai.workingmemory/memory)
- Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed.

### Tool changes

_No tool definition changes recorded._

## Remotes

- https://app.workingmemory.ai/mcp (streamable-http, auth none, reachable true, uptime30d 0.98245615)

## Packages

_none_

## Tools (4)

- `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_memory`: 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_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.