Preserve agent session context with Claude Mem
Capture coding-agent sessions, compress the useful decisions and context, and inject relevant memory into future runs so long-running repository work does not restart cold.
npx skills add agentskillexchange/skills --skill preserve-agent-session-context-with-claude-mem
Claude Mem is an open source persistent-context system for coding agents. The operator workflow is concrete: install and configure Claude Mem for the supported agent runtime, verify that sessions are being captured, review or prune compressed memory when needed, and let future sessions receive relevant context automatically before work resumes.
What this skill actually does
Invoke this when an agent is repeatedly losing project conventions, architectural decisions, unfinished tasks, or debugging history between sessions. It is more appropriate than using the product manually when the job is continuity for repeatable coding-agent work rather than a one-off note or generic knowledge-base lookup.
The scope boundary is session capture, AI compression, and context injection for agent workflows. This is not a general CRM, document store, or abstract memory platform listing; the useful skill is keeping supervised coding and operator sessions warm across restarts while the user remains responsible for reviewing sensitive or stale memory.
Inputs and prerequisites: Claude Mem; supported coding-agent runtime such as Claude Code, OpenClaw, Codex, Gemini, Copilot, OpenCode, or compatible agent workflow.
Setup notes: Follow the upstream Claude Mem installation guide for the target agent runtime, then run a short session and verify that memory capture and future context injection are active before relying on it for project continuity.
Source and verification boundary: use https://claude-mem.ai as the canonical reference before running the workflow; keep commands, API calls, CLI usage, and generated outputs reviewable against that upstream source.
Framework fit: publish this as a Multi-Framework workflow only when the operator can invoke the documented toolchain directly, rather than treating the upstream project as a generic product listing.