TaskMem
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.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- productivity
- Source
- PulseMCP
- Repository
- github.com/sage-hq/agentcortex-mcp
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve TaskMem from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.