Memory

Memory taxonomy generated by the site skill importer.

5 skills
M
context-compression

by muratcankoylan

context-compression is a practical skill for shrinking long agent sessions without losing the facts needed to continue work. It helps with context compression, structured summarization, file tracking, decision preservation, and tokens-per-task optimization for long-running coding tasks and Context Engineering workflows.

Context Engineering
Favorites 0GitHub 15.6k
A
mnemos

by alinaqi

mnemos is a task-scoped memory skill for agents that need durable context across compactions. It uses a typed MnemoGraph to keep goals and constraints persistent, compress results, and preserve checkpoints for resume. Useful for context engineering, debugging, repo maintenance, and handoffs.

Context Engineering
Favorites 0GitHub 607
D
read-memories

by duckdb

read-memories is a Claude Code skill for searching prior session logs to recover decisions, patterns, unresolved TODOs, and user corrections. Use it when a task depends on earlier context, across ongoing projects, or for read-memories for Workflow Automation. The read-memories skill helps agents find evidence quickly instead of guessing from memory.

Workflow Automation
Favorites 0GitHub 443
M
memory-systems

by muratcankoylan

memory-systems is a guide for designing agent memory that persists across sessions. It covers backend-focused architecture choices, including vector stores, entity graphs, and temporal knowledge graphs, plus when to use each. Use this memory-systems skill to plan durable retrieval, entity continuity, and long-term state for agents.

Backend Development
Favorites 0GitHub 0
N
memorize

by NeoLabHQ

memorize is a Skill Authoring and agent workflow skill that curates reflections, critiques, and execution feedback into durable, actionable guidance in CLAUDE.md using Agentic Context Engineering. Use it when lessons should survive beyond one chat and improve future runs.

Skill Authoring
Favorites 0GitHub 0
Memory