npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2026 – Pkg Stats / Ryan Hefner

mindpm

v1.4.0

Published

Persistent project memory for LLMs via MCP. Never re-explain your project again.

Downloads

738

Readme

mindpm

Persistent project memory for LLMs. Never re-explain your project again.

mindpm is an MCP (Model Context Protocol) server that gives LLMs a SQLite-backed brain for your projects. It tracks tasks, decisions, architecture notes, and session context — so every new conversation picks up exactly where you left off.

The Problem

Every new LLM chat starts from zero:

  • "Let me remind you about my project..."
  • "Last time we decided to use Redis for..."
  • "Where did we leave off?"

The Solution

mindpm persists your project state in a local SQLite database. The LLM reads and writes to it via MCP tools. No chat history needed. No memory features needed.

You: "What should I work on next?"
LLM: [queries mindpm] "Last session you finished the auth refactor.
      You have 3 high-priority tasks: rate limiting, API docs, and
      the webhook retry bug. Rate limiting is unblocked — start there."

What It Tracks

  • Tasks — status, priority, blockers, sub-tasks
  • Decisions — what was decided, why, what alternatives were rejected
  • Notes — architecture, bugs, ideas, research
  • Context — key-value pairs (tech stack, conventions, config)
  • Sessions — what was done, what's next

Kanban Board

mindpm includes a built-in Kanban UI. When the MCP server starts, it serves a web interface at http://localhost:3131.

Every start_session call returns a direct link to your project's board:

Kanban board: http://localhost:3131?project=<project-id>

The port is configurable via the MINDPM_PORT environment variable.

Session Brief

get_project_status tells you what you were doing. The session brief tells you what changed while you were away — commits landed, the branch moved, the working tree got dirty, tasks changed status, blockers appeared, a decision was logged.

Every start_session call embeds a brief automatically (pass brief: false to skip it), and you can also fetch one without opening a session via get_session_brief. It's fully deterministic — no LLM calls happen inside mindpm — and it never touches the network: everything comes from local git subprocess calls and the local SQLite database.

To get git activity in the brief, tell mindpm where your repo lives:

set_project_repo_path(project: "my-app", repo_path: "/Users/you/code/my-app")

(or pass repo_path directly to create_project). Without a configured repo, the brief still reports the task/blocker/decision delta — it just skips the git section.

Example output:

{
  "project": "my-app",
  "degraded": false,
  "degraded_reasons": [],
  "gap": {
    "last_session_ended_at": "2026-08-08T22:14:03.000Z",
    "hours_elapsed": 11.3,
    "label": "overnight"
  },
  "handoff": {
    "last_session_summary": "Finished the auth refactor",
    "next_steps": "Wire up rate limiting, then tackle the webhook retry bug"
  },
  "git": {
    "available": true,
    "anchor": "sha",
    "branch_then": "feat/phase-3",
    "branch_now": "feat/phase-3",
    "branch_changed": false,
    "commits": [
      { "sha": "a1b2c3d", "author": "umit", "date": "2026-08-09T09:02:11+00:00", "subject": "Add rate limit middleware" }
    ],
    "commit_count": 4,
    "commits_truncated": false,
    "files_changed": [
      { "path": "src/middleware/rate-limit.ts", "added": 82, "deleted": 11 }
    ],
    "files_changed_truncated": false,
    "working_tree_dirty": true,
    "untracked_count": 2,
    "stash_count": 0
  },
  "tasks": {
    "changed": [
      { "id": "a1b2c3d4", "title": "Add rate limiting", "from_status": "in_progress", "to_status": "done", "at": "2026-08-09T09:05:00.000Z" }
    ],
    "in_progress_now": [{ "id": "e5f6a7b8", "title": "Webhook retry bug" }],
    "next_suggested": [{ "id": "c9d0e1f2", "title": "Write API docs", "priority": "high" }]
  },
  "blockers": [],
  "decisions_since": [
    { "id": "9f8e7d6c", "title": "Use token bucket for rate limiting", "at": "2026-08-09T09:00:00.000Z" }
  ],
  "notes_since_count": 3
}

gap.label is same-day (<6h), overnight (6-20h), multi-day (20h-14d), or stale (>14d) — a stale gap adds a gap.hint telling the agent to re-verify context rather than trust next_steps at face value.

The git delta is anchored on the exact commit sha recorded when the prior session ended (via end_session), not on a timestamp — sha-based anchoring survives rebases and amends that would break a clock-based diff. If that sha becomes unreachable (force-push, rebase, or the repo was pruned), the brief transparently falls back to a timestamp anchor and reports it in degraded_reasons. A broken or missing repo never fails the brief — it just comes back with git.available: false and degraded: true, while the task/blocker/decision delta is unaffected.

Setup

Install

npm install -g mindpm

Or run from source:

git clone https://github.com/umitkavala/mindpm.git
cd mindpm
npm install
npm run build

Configure your MCP client

All clients use the same JSON format — just different config file locations. They all share the same ~/.mindpm/memory.db, so you can switch tools mid-project without losing context.

Claude Code~/.claude/claude_desktop_config.json

{
  "mcpServers": {
    "mindpm": {
      "command": "mindpm",
      "env": {
        "MINDPM_DB_PATH": "~/.mindpm/memory.db",
        "MINDPM_PORT": "3131"
      }
    }
  }
}

Or use the one-liner:

claude mcp add mindpm -e MINDPM_DB_PATH=~/.mindpm/memory.db -- npx -y mindpm

Cursor.cursor/mcp.json in your project root (or ~/.cursor/mcp.json globally)

{
  "mcpServers": {
    "mindpm": {
      "command": "npx",
      "args": ["-y", "mindpm"],
      "env": {
        "MINDPM_DB_PATH": "~/.mindpm/memory.db"
      }
    }
  }
}

VS Code + Copilot.vscode/mcp.json in your project root

{
  "servers": {
    "mindpm": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "mindpm"],
      "env": {
        "MINDPM_DB_PATH": "~/.mindpm/memory.db"
      }
    }
  }
}

Cline — Add via VS Code settings → Cline → MCP Servers, or edit cline_mcp_settings.json:

{
  "mcpServers": {
    "mindpm": {
      "command": "npx",
      "args": ["-y", "mindpm"],
      "env": {
        "MINDPM_DB_PATH": "~/.mindpm/memory.db"
      }
    }
  }
}

Windsurf — Settings → Cascade → MCP, using the same JSON structure as Cline above.

Using mindpm with any LLM

On first run, mindpm writes ~/.mindpm/AGENT.md — a ready-to-paste system prompt that tells your LLM how to use mindpm proactively. Paste its contents into your client's custom instructions or system prompt box.

You can also call the get_agent_instructions tool at any time to retrieve the instructions.

Start Using

That's it. The LLM now has access to mindpm tools. Just start talking about your projects.

MCP Tools

Projects

| Tool | Description | |------|-------------| | create_project | Create a new project | | list_projects | List all projects | | get_project_status | Full project overview | | set_project_repo_path | Set/update the project's local git repo path (enables the session brief's git delta) |

Tasks

| Tool | Description | |------|-------------| | create_task | Add a task | | update_task | Update status, priority, etc. | | list_tasks | List with filters | | get_task | Full task detail with sub-tasks and notes | | get_next_tasks | Smart: highest priority, unblocked |

Decisions

| Tool | Description | |------|-------------| | log_decision | Record a decision with reasoning | | list_decisions | Browse decision history |

Notes & Context

| Tool | Description | |------|-------------| | add_note | Add a note (architecture, bug, idea, etc.) | | search_notes | Full-text search | | set_context | Store key-value context | | get_context | Retrieve context |

Sessions

| Tool | Description | |------|-------------| | start_session | Get full project context + last session's next steps + session brief | | end_session | Record summary + what to do next time | | get_session_brief | Read-only: what changed since the last session ended, without opening a session |

Query

| Tool | Description | |------|-------------| | query | Read-only SQL against the database | | get_project_summary | Tasks by status, blockers, recent activity | | get_blockers | All blocked tasks with what's blocking them | | search | Full-text search across everything |

How It Works

┌─────────────┐     MCP      ┌─────────┐     SQLite     ┌──────────┐
│  Claude Code │ ◄──────────► │ mindpm  │ ◄────────────► │ memory.db│
│  / Desktop   │   tools      │ server  │   read/write   │          │
└─────────────┘               └─────────┘                └──────────┘
  1. You start a conversation and mention your project
  2. The LLM calls start_session → gets full context
  3. During the conversation, it creates tasks, logs decisions, adds notes
  4. When you're done, it calls end_session → saves what's next
  5. Next conversation: instant context, zero re-explanation

Storage

Default: ~/.mindpm/memory.db

Override with MINDPM_DB_PATH or PROJECT_MEMORY_DB_PATH environment variable.

Database and tables are created automatically on first run.

Development

npm install
npm run build       # Build with tsup
npm run typecheck   # Type-check without emitting
npm run dev         # Build in watch mode

License

MIT