claude

agentmind

Self-learning memory system that observes interactions, learns preferences, and makes AI Agents understand you better over time

9 on GitHubby Youhaiv1.0.0MITupdated 7 months agoproductivity
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Plugin agentmind from marketplace agentmind-marketplace in Youhai020616/Agentmind. Commands read from the repo's manifest — 1 month ago.

This plugin runs code on your machine — its hooks fire automatically on events like tool use. The exact commands are listed below; read them before installing.

What it installs

Skills (3)

  • agentmind-context

    Injects learned coding preferences and patterns from AgentMind into the current conversation. Activates automatically when Claude works on coding tasks, providing learned instincts about user's preferred tools, code style, and workflows. SessionStart: - matcher: "startup|resume" hooks: - type: comma

  • agentmind-guide

    Background knowledge about the user's coding patterns, error resolution strategies, and tool usage preferences. Applied automatically when writing, reviewing, or debugging code to align with user's established patterns.

  • agentmind-openclaw

Slash commands (5)

  • /agentmind:dashboard

    Open AgentMind web dashboard for visual exploration of learning data

  • /agentmind:evolve

    Analyze instincts for evolution — cluster related instincts into patterns and strategies

  • /agentmind:instincts

    Browse, search, and manage learned instincts with filtering and detail views

  • /agentmind:reflect

    Review and approve pending learnings — human-in-the-loop instinct validation

  • /agentmind:status

    Show AgentMind learning status — instinct counts, confidence trends, and domain breakdown

Subagents (2)

  • evolution-engine

    Evolution engine agent for AgentMind. Clusters related instincts into higher-level patterns and strategies. Use when there are enough high-confidence instincts to attempt evolution (3+ related instincts with confidence > 0.5).

  • learning-analyst

    Deep analysis agent for AgentMind. Analyzes observation data to detect behavioral patterns, identify causal relationships, and generate instinct candidates. Use when performing deep analysis of coding sessions after enough observations are collected.

Hooks (8)

  • SessionStart

    ${CLAUDE_PLUGIN_ROOT}/scripts/inject-context.sh

  • UserPromptSubmit

    ${CLAUDE_PLUGIN_ROOT}/scripts/observe-intent.sh

  • PreToolUse

    ${CLAUDE_PLUGIN_ROOT}/scripts/observe-execution.sh --phase pre

  • PostToolUse

    ${CLAUDE_PLUGIN_ROOT}/scripts/observe-execution.sh --phase post

  • PostToolUseFailure

    ${CLAUDE_PLUGIN_ROOT}/scripts/observe-evaluation.sh

  • Stop

    ${CLAUDE_PLUGIN_ROOT}/scripts/analyze-session.sh

  • PreCompact

    ${CLAUDE_PLUGIN_ROOT}/scripts/pre-compact-save.sh

  • SessionEnd

    ${CLAUDE_PLUGIN_ROOT}/scripts/analyze-session.sh --final

View source on GitHub

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