Self-learning memory for AI coding agents with pattern detection and confidence scoring.
{
"mcpServers": {
"io-github-yakuphanycl-instinct": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
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Self-learning memory for AI coding agents with pattern detection and confidence scoring.
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Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
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Self-learning memory for AI coding agents
Your AI agent makes the same mistakes twice. It forgets your preferences between sessions. It doesn't learn from repetition.
instinct fixes this. It observes patterns from your agent sessions, tracks confidence over time, and auto-promotes recurring patterns into suggestions your agent follows — without you repeating yourself.
Works with any MCP-compatible agent: Claude Code, Cursor, Windsurf, Goose, Codex, and others.
observe track promote suggest
┌───────┐ ┌───────┐ ┌───────┐ ┌───────┐
You │Record │ +1 │ Count │ >=5 │Mature │ >=10 │ Rule │
work │pattern├──────>│ hits ├───────>│suggest├───────>│ auto- │
└───────┘ └───────┘ └───────┘ │ apply │
└───────┘
mature (suggested), >= 10 becomes rule (auto-applied)pip install instinct-mcp
If you have not installed yet, run pip install instinct-mcp.
Add instinct to your MCP client.
Claude Code (one-liner):
claude mcp add instinct -- instinct serve
Cursor / Windsurf / Goose / other MCP clients — add to your client's MCP config:
{
"mcpServers": {
"instinct": {
"command": "instinct",
"args": ["serve"]
}
}
}
Record one pattern and request suggestions:
instinct observe "seq:test->fix->test"
instinct suggest
If suggest returns an empty list, keep observing recurring patterns. Suggestions appear once confidence reaches mature level.
instinct observe "seq:test->fix->test"
instinct suggest
master) requires review and resolved conversations