By Youhai020616
Enable AI agents to self-learn your coding preferences, workflows, code styles, and error strategies from interactions. Automatically inject personalized guidance into coding, reviewing, and debugging sessions. Manage instincts via commands: list, search, review candidates, evolve patterns, monitor status, and view dashboards.
Open AgentMind web dashboard for visual exploration of learning data
Analyze instincts for evolution — cluster related instincts into patterns and strategies
Browse, search, and manage learned instincts with filtering and detail views
Review and approve pending learnings — human-in-the-loop instinct validation
Show AgentMind learning status — instinct counts, confidence trends, and domain breakdown
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).
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.
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.
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.
Self-learning memory system that makes AI agents understand you better over time.
Uses power tools
Uses Bash, Write, or Edit tools
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No model invocation
Executes directly as bash, bypassing the AI model
No model invocation
Executes directly as bash, bypassing the AI model
Runs pre-commands
Contains inline bash commands via ! syntax
Runs pre-commands
Contains inline bash commands via ! syntax
Bash prerequisite issue
Uses bash pre-commands but Bash not in allowed tools
Bash prerequisite issue
Uses bash pre-commands but Bash not in allowed tools
Self-Learning Memory System for AI Agents
Give your AI agent memory. Let it learn your style. Make it better over time.
Quick Start • How It Works • Features • Why AgentMind • 中文文档
Every time you start a new session with an AI coding agent, it forgets everything:
You end up repeating the same corrections, over and over.
AgentMind observes how you work, learns your preferences, and automatically applies them in future sessions. Zero configuration. Install and forget.
Session 1: You correct the agent → AgentMind observes
Session 2: Agent remembers → No correction needed
Session 10: Agent anticipates → Works exactly how you like
| Approach | Remembers? | Learns? | Cross-Session? | Zero Config? |
|---|---|---|---|---|
| AGENTS.md / CLAUDE.md | ✅ | ❌ Manual | ✅ | ❌ Manual |
| Chat history | ❌ Lost | ❌ | ❌ | ✅ |
| Custom system prompts | ✅ | ❌ Manual | ✅ | ❌ Manual |
| AgentMind | ✅ | ✅ Auto | ✅ | ✅ |
AgentMind is the only solution that learns automatically from your behavior and applies it across sessions.
# In Claude Code
/plugin marketplace add Youhai020616/Agentmind
/plugin install agentmind@agentmind-marketplace
That's it. AgentMind starts learning immediately.
git clone https://github.com/Youhai020616/Agentmind.git
cd Agentmind && npm install
claude --plugin-dir .
You work with your AI agent
│
┌──────────▼──────────┐
│ 👁️ OBSERVE │ Watches corrections, patterns, errors
└──────────┬──────────┘
│
┌──────────▼──────────┐
│ 🧠 UNDERSTAND │ Extracts preferences and patterns
└──────────┬──────────┘
│
┌──────────▼──────────┐
│ 💾 MEMORIZE │ Stores as "instincts" with confidence
└──────────┬──────────┘
│
┌──────────▼──────────┐
│ ⚡ APPLY │ Auto-injects into future sessions
└──────────┬──────────┘
│
┌──────────▼──────────┐
│ ✅ VALIDATE │ Tracks if it helped or not
└──────────┬──────────┘
│
┌──────────▼──────────┐
│ 🔄 EVOLVE │ Strengthens good patterns, drops bad
└──────────┴──────────┘
Every learned pattern gets a confidence score:
Confidence = Frequency × 0.35 + Effectiveness × 0.40 + Human Feedback × 0.25
| Confidence | Level | What happens |
|---|---|---|
| ≥ 0.8 | 🟢 Core | Auto-applied every session |
| 0.6–0.8 | 🔵 Strong | Suggested when relevant |
| 0.4–0.6 | 🟡 Moderate | Available on request |
| 0.2–0.4 | ⚪ Tentative | Observing silently |
| < 0.2 | 🔴 Deprecated | Queued for removal |
Patterns grow smarter over time:
Level 0: Instinct → "Use semicolons in TypeScript"
Level 1: Pattern → "Always run tests before committing"
Level 2: Strategy → "When refactoring, start with types"
Level 3: Expert → "Full-stack TypeScript project workflow"
| Observer | What it watches |
|---|---|
| Intent | When you correct the agent or express preferences |
| Execution | Tool call patterns and workflows |
| Evaluation | Error patterns and how they get resolved |
| Context | Project conventions and coding style |
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