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A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
Persistent, searchable memory bank for AI agents with automatic project documentation sync. Provides four core MCP tools: memory_search for querying by text/type/tags, memory_write for recording knowledge and decisions, memory_read for retrieving specific entries, and memory_stats for usage analytics Organizes memories by type (architecture, patterns, decisions) and supports custom tagging for flexible retrieval and organization Runs as an MCP server that syncs with your project workspace, enabling long-term knowledge retention across agent sessions Includes a standalone dashboard (port 3333) for visualizing memory usage and stored knowledge Agent Memory Skill This skill provides a persistent, searchable memory bank that automatically syncs with project documentation. It runs as an MCP server to allow reading/writing/searching of long-term memories. Prerequisites Node.js (v18+) Setup Clone the Repository: Clone the agentMemory project into your agent's workspace or a parallel directory: git clone https://github.com/webzler/agentMemory.git .agent/skills/agent-memory Install Dependencies:
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