Claude-Mem Cowork Memory Pairing
Pair the Claude-Mem Cowork plugin with a personal cmem.ai account and verify its masked configuration status.
These skills help an agent retain useful context between sessions and hand work to another agent. They cover Claude-Mem, Honcho, Memori, Obsidian-style recall, shared memory, and handoff notes.
28 skillsPair the Claude-Mem Cowork plugin with a personal cmem.ai account and verify its masked configuration status.
Interview for a useful memory taxonomy, validate and install a custom mode, and verify it in startup context.
Distill a conversation or completed task into reusable lessons for later agent work.
Save the decisions, facts, dead ends and architecture this conversation established to Atlas's shared memory, so other agents and future sessions can build on them.
Recall relevant context, summarize sessions and preserve durable memories through a configured Memori MCP connection.
Recall useful context and record durable insights with the connected Honcho memory integration.
Inspect and debug Honcho workspaces via the `honcho` CLI.
Persistent memory for coding agents, with 21 curated workflows for recall, code exploration, planning, reviews, reports, and integrations. Install the upstream plugin; hosted memory and model usage may cost extra.
Integrate Honcho memory into existing Python or TypeScript codebases.
Install or remove memU through host-specific adapters that connect session recording and memory retrieval.
Find previous decisions and solutions with a bounded index → context → selected-details search over Claude-Mem history.
Search Screenpipe OCR or audio history and optionally preserve selected findings in Claude-Mem.
Build a focused corpus from project observations, prime an AI session, and query that corpus conversationally.
Configure or diagnose Claude-Mem SyncHub through the official installer and verify authenticated hub reachability.
Set up Claude-Mem in Cursor with a local or remote worker and choose the appropriate observation provider.
Choose a handoff skill for a bounded transfer, a persistent store for long-lived context, and a search or recall skill when the information already exists somewhere.