mind

Store and recall project facts using a weighted concept graph.

62|8|Updated Jul 2, 2026
One-click install
npx skills add https://github.com/Da7-Tech/mind --skill mind
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mind
Source: https://github.com/Da7-Tech/mind/tree/main
Command: npx skills add https://github.com/Da7-Tech/mind --skill mind

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill solves the problem of fragmented project context by providing a durable, local memory system that ensures coding agents retain project decisions, conventions, and environment facts across sessions.

Core Features & Use Cases

  • Weighted Concept Graph: Stores facts in a graph that supports lexical ranking and spreading activation for intelligent recall.
  • Automatic Consolidation: Uses a deterministic dream cycle to prune unused salience and consolidate recurring themes.
  • Use Case: When working on a long-term codebase, use this Skill to capture architectural decisions or environment-specific quirks so that any agent you use in the future can recall them without needing to be re-prompted.

Quick Start

Use the mind skill to capture the current project's deployment strategy as a durable fact.

Frequently Asked Questions about mind

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I retain project context for coding agents across development sessions?

Retain project context for coding agents by storing durable facts in a local weighted concept graph. This ensures architectural decisions and environment quirks persist across sessions without requiring manual re-prompting.

Does local agent memory work offline without external dependencies?

Local agent memory works offline without external dependencies by using standard-library Python. This ensures full data privacy and continuous availability for storing and recalling project facts.

How does a deterministic memory system consolidate recurring project themes?

A deterministic memory system consolidates recurring project themes through a dream cycle that prunes unused salience. This automatically maintains the weighted concept graph and ensures relevant facts remain accessible.

What is the best way to track provenance for architectural decisions in coding agents?

Track provenance for architectural decisions by storing them as durable facts within a local weighted concept graph. This allows any future coding agent to recall the exact context and origin of project conventions.

Can I use standard-library Python to build context memory for coding agents?

You can use standard-library Python to build context memory for coding agents. The local memory system operates entirely on standard libraries to ensure offline availability and data privacy.

How does spreading activation help recall project facts in a concept graph?

Spreading activation helps recall project facts in a concept graph by supporting lexical ranking across stored connections. This enables intelligent retrieval of relevant architectural decisions and environment facts.