# TaskMem

> Use this tool when you need to manage tasks and maintain context across conversations, as it provides AI assistants with persistent memory and task management capabilities through semantic search and project organization. It solves problems of information loss and disorganization by storing and retrieving information, and managing tasks with priorities and statuses. Ideal for use cases where AI assistants require hierarchical information organization and work progress tracking over time.

Canonical page: https://skillsregistry.net/skills/sage-hq-taskmem  
JSON: https://api.skillsregistry.net/v1/skills/sage-hq-taskmem

## Description

TaskMem MCP Server provides AI assistants with persistent memory and task management capabilities through integration with the TaskMem Cloud API. Developed by the TaskMem Team, it enables storing and retrieving information using semantic search, organizing work into projects, and managing tasks with priorities and statuses. The server implements a comprehensive set of tools for memory operations (storing, searching, updating importance), project management, and task workflows (creation, listing, status updates, breakdown). Particularly valuable for AI assistants that need to maintain context across conversations, organize information hierarchically, and track work progress over time.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/sage-hq-taskmem)
- **Repository:** <https://github.com/sage-hq/agentcortex-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "sage-hq-taskmem"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sage-hq-taskmem` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sage-hq-taskmem/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt