memory-management
Design and operate memory systems for long-running AI agents. Covers context window optimization, summarization strategies, vector-based retrieval, episodic memory, memory consolidation, and garbage collection for production agent systems.
Profile →npx skills add cosmicstack-labs/mercury-agent-skills --skill memory-management --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Memory Management for Long-Running Agents ## Overview Long-running agents face a fundamental problem: they can't remember everything, but forgetting the wrong thing breaks their usefulness. This skill covers memory architectures that balance context retention, token budget, and retrieval accuracy for agents that run for hours, days, or continuously. --- ## Core Concepts ### The Memory Problem |
What does the memory-management skill do?
Design and operate memory systems for long-running AI agents. Covers context window optimization, summarization strategies, vector-based retrieval, episodic memory, memory consolidation, and garbage collection for production agent systems.
How do I install it?
Run `npx skills add cosmicstack-labs/mercury-agent-skills --skill memory-management --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From cosmicstack-labs/mercury-agent-skills, a repository with 364 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.