By ArtemisAI
Persistent memory system for Claude Code - seamlessly preserve context across sessions
Execute a phased implementation plan using subagents. Use when asked to execute, run, or carry out a plan — especially one created by make-plan.
Build and query AI-powered knowledge bases from claude-mem observations. Use when users want to create focused "brains" from their observation history, ask questions about past work patterns, or compile expertise on specific topics.
Create a detailed, phased implementation plan with documentation discovery. Use when asked to plan a feature, task, or multi-step implementation — especially before executing with do.
Search claude-mem's persistent cross-session memory database. Use when user asks "did we already solve this?", "how did we do X last time?", or needs work from previous sessions.
Token-optimized structural code search using tree-sitter AST parsing. Use instead of reading full files when you need to understand code structure, find functions, or explore a codebase efficiently.
Matches all tools
Hooks run on every tool call, not just specific ones
Admin access level
Server config contains admin-level keywords
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pi install npm:pi-agent-memory
Pi-Agent Extension Docs | npm | Upstream claude-mem
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npx claudepluginhub artemisai/pi-mem --plugin claude-memPersistent memory for AI coding agents via the memini memory service. 7 hooks, MCP tools, and skills that capture tool usage and inject prior context at session start and per prompt.
Long-term memory for Claude Code — slash commands, skills, opt-in session hooks, codebase indexing, and a deep-retrieval subagent over the @memsy-io/mcp server.
Captures user prompts and agent responses to Memory Engine for persistent context across sessions
Persistent memory system for Claude Code - seamlessly preserve context across sessions
Persistent memory for Claude Code — memories survive across sessions, projects, and machines
Standalone image generation plugin using Nano Banana MCP server. Generates and edits images, icons, diagrams, patterns, and visual assets via Gemini image models. No Gemini CLI dependency required.