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tractorjuice

自动内存是Claude Code的一种AI智能代理技能，实现持久内存管理。

u9401066

Memory Checkpoint is an AI agent skill that streamlines biomedical literature research by providing a professional MCP server with 40 tools, multi-source search, and full-text access, benefiting developers and researchers.

kengio

Your personal AI OS — memory that learns and evolves with you, 24+ skills, and a full local stack for Claude Code, Gemini CLI, or any AI agent. Built on Obsidian + plain Markdown.

knowns-dev

The memory layer for AI-native development — giving AI persistent understanding of your software projects.

anajuliabit

Semantic memory API skill for AI agents

JKHeadley

Persistent Claude Code agents with scheduling, sessions, memory, and Telegram.

yusufcmg

Plug-and-play multi-agent architecture kit for Claude Code CLI: 37 expert agents, 100+ skills, persistent memory-bank, and cheap model routing via OpenRouter (CCR).

u9401066

🔬 AI-powered medical paper writing toolkit — from PubMed search to Word export, all inside VS Code

hugocool

Use the constraint-memory MCP tools to query/upsert timeboxing constraints stored in Notion.

AWolf81

MemoryLane gives Claude Code durable project memory by extracting knowledge locally and injecting only what matters.

jaydee829

Set up and maintain a structured project memory system in docs/project_notes/ that tracks bugs with solutions, architectural decisions, key project facts, and work history. Use this skill when asked to set up project memory, track our decisions, log a bug fix, update project memory, or initialize memory system. Configures both GEMINI.md and AGENTS.md to maintain memory awareness across different AI coding tools.

nicanac

Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector stores), and the cognitive architectures that organize them. Key insight: Memory isnt just storage - its retrieval. A million stored facts mean nothing if you cant find the right one. Chunking, embedding, and retrieval strategies determine whether your agent remembers or forgets. The field is fragm