agent-memory は何をしますか？
Store persistent AI agent memory in Markdown files with search, context injection, checkpoints, and compaction—no database needed
Store persistent AI agent memory in Markdown files with search, context injection, checkpoints, and compaction—no database needed
agent-memory is a Claude Code agent skill that store persistent AI agent memory in Markdown files with search, context injection, checkpoints, and compaction—no database needed.
npx skills add Defiladeboarfish90/agent-memoryInstalled? Explore more 研究＆データ分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Store persistent AI agent memory in Markdown files with search, context injection, checkpoints, and compaction—no database needed
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.