Store long-term agent knowledge locally using four-layer Markdown memory.
npx skills add https://github.com/Ahmed-Mazh2r/AgentMind --skill agentmind-memory
Please help me install this Agent Skill. Skill: agentmind-memory Source: https://github.com/Ahmed-Mazh2r/AgentMind/tree/main/memory Command: npx skills add https://github.com/Ahmed-Mazh2r/AgentMind --skill agentmind-memory
AgentMind Memory provides a local, persistent brain for AI agents so they remember user preferences, project context, lessons learned, and daily events across conversations.
Copy the templates into your workspace and set MEMORY_ROOT to your project path.
High-intent search queries and answers about installing and using this skill.
The four-layer memory architecture organizes agent knowledge into Working, Episodic, Semantic, and Procedural sets, structuring persistence in a human-accessible Markdown format for improved decision making.
The four-layer memory architecture organizes agent knowledge into Working, Episodic, Semantic, and Procedural sets, structuring persistence in a human-accessible Markdown format for improved decision making.
The system persists project context, user preferences, daily events, and learned lessons across conversations, applying them to multi-turn interactions to improve agent performance and ensure continuity.
Yes, you can manually edit the Markdown files used for agent memory storage. The zero-dependency architecture uses safe, editable files with template guidance and frontmatter-based configuration for easy inspection.
The best way to maintain project context and user preferences across conversations is using local Markdown storage that persists daily events and learned lessons, applying them to improve multi-turn interaction continuity.
bhanford9Resolve the documentation directory for the active workspace via workspace-docs.json.
qiphonIntegrate ReasoningBank adaptive learning with AgentDB vector storage for self-learning agents.
zircoteConfigure Claude memory paths, directories, Git repos, and CLAUDE.md protocols.
richardnpaulManage session-aware AI interactions with a zero-dependency NanoClaw v2 REPL.
