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nano-brain

Enable persistent memory and hybrid search across sessions, codebase, notes, and logs.

3|Updated Feb 5, 2026
Search Tags:#memory#persistence#sessions#ai-development#hybrid-search#code-intelligence#symbol-analysis
One-click install
npx skills add https://github.com/nano-step/skill-manager --skill nano-brain
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: nano-brain
Source: https://github.com/nano-step/skill-manager/tree/main/skills/nano-brain
Command: npx skills add https://github.com/nano-step/skill-manager --skill nano-brain

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Provides persistent memory and code intelligence for AI coding agents; enabling cross-session recall, hybrid search, and symbol analysis and impact checks.

Core Features & Use Cases

  • Persistent memory across sessions, enabling cross-workflow continuity.
  • Hybrid search across past sessions, codebase, notes, and daily logs using MCP and CLI.
  • Symbol analysis and impact checks to understand dependencies and changes.

Quick Start

Initialize workspace with /nano-brain-init to begin using memory and code intelligence.

Frequently Asked Questions about nano-brain

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

FAQPage Schema
How do I add persistent memory to an AI coding agent for cross-session recall?▼

Persistent memory enables AI coding agents to recall context across sessions by indexing the workspace and using utility commands like memory_write and memory_search to store and retrieve past interactions.

How does hybrid search work across codebases, notes, and daily logs?▼

Hybrid search queries multiple data sources simultaneously using MCP tools and CLI commands, allowing agents to retrieve relevant information from past sessions, codebase symbols, notes, and logs in a single operation.

Do I need an MCP server to use persistent memory and code intelligence features?▼

Yes, a configured MCP server is required to enable cross-session memory, hybrid search, and symbol analysis, along with workspace indexing via memory_index_codebase and access to utility commands like memory_search.

How do I initialize a workspace for AI agent memory and code intelligence?▼

Initialize the workspace with the /nano-brain-init command to begin using persistent memory and code intelligence features, which sets up the necessary indexing for cross-session recall and symbol analysis.

Can I perform symbol analysis and impact checks to understand codebase dependencies?▼

Yes, symbol analysis and impact checks are supported through MCP tools or the CLI, allowing agents to understand dependencies and evaluate the impact of code changes within the indexed workspace.

What are the limitations of using persistent memory for AI development sessions?▼

Persistent memory requires a configured MCP server and workspace indexing via memory_index_codebase to function, meaning agents cannot perform cross-session recall or hybrid search without these prerequisites properly set up.

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