# MiniMe

> Use this tool when you need to manage AI memory and meta-learning for software development workflows, solving problems such as persistent knowledge retention and automated insight generation across coding sessions. It takes in development data and outputs real-time analytics and AI-powered insights through a React-based dashboard UI. Ideal for developers, teams, and organizations seeking comprehensive development analytics and local-first AI processing with no external API dependencies.

Canonical page: https://skillsregistry.net/skills/manujbawa-minime  
JSON: https://api.skillsregistry.net/v1/skills/manujbawa-minime

## Description

This MCP server provides AI assistants with comprehensive memory management and meta-learning capabilities for software development workflows, built by the MiniMe Team using Node.js with PostgreSQL storage and Ollama integration for local LLM processing. The implementation features a complete digital developer twin system with memory storage and retrieval, sequential thinking workflows, task extraction and management, AI-powered insights generation, and real-time analytics through a React-based dashboard UI served on port 9000 alongside the MCP server on port 8000. Built with Docker containerization, embedding-based similarity search, pattern detection across development sessions, and configurable prompt templates for learning pipeline automation, it serves developers wanting persistent AI memory across coding sessions, teams needing project-based knowledge management with automated insight generation, and organizations requiring comprehensive development analytics with local-first AI processing and no external API dependencies.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-04-29

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/manujbawa-minime)
- **Repository:** <https://github.com/manujbawa/minime-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "manujbawa-minime"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/manujbawa-minime` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/manujbawa-minime/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt