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Dear Agent MCP server

by BitmapAsset·io.github.BitmapAsset/dear-agent·v0.2.3
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Your AI agent keeps your diary for you. Local-first, private, works in any agent.

A85/100grade A
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Safety scan
A85/100

full report

Adoption
New

0 stars50 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

Dear Agent tools (11)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • add_entry

    Record a text moment in the user's diary. Capture whenever they share something worth remembering — an event, feeling, win, or decision. The user never types into an app; you keep the diary for them.

  • add_photo

    Save a photo into the user's diary for a day (local path or base64), with an optional caption.

  • add_voice_note

    Save a voice note into the user's diary for a day (local path or base64), with an optional transcript.

  • get_day

    Read back one day's full diary entry, including any photos and voice notes filed that day.

  • get_range

    Read diary entries between two dates (inclusive).

  • list_days

    List every day that has a diary entry, oldest to newest.

  • on_this_day

    Resurface entries from this same calendar date in past years (true anniversaries). The memory people fall in love with.

  • recall

    Turn the diary into living memory of the person. With `about`, returns everything the diary knows about a person/place/topic across time. Without it, returns a profile digest (recurring people, themes, mood pattern, open commitments) for you to synthesize into who this person is. This is what makes Dear Agent a memory, not just a notebook.

  • reflect

    Get reflection material so you can proactively talk back to the user: patterns, progress, open loops, and on-this-day memories over the last week or month. Use for a daily check-in or weekly recap so the diary feels alive.

  • search

    Search the whole diary for a word or phrase; returns matching days with snippets.

  • weekly_digest

    Pull the last 7 days of entries so you can write the user a short weekly reflection.

Public scan report

scanner v0.1.9 · 2026-09-26 · same rubric, same numbers if you re-run it

no findings
  • Code scan2 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 88 days ago12/15
  • Maintainer identityregistry namespace matches repository owner6/10
Overall 85/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Dear Agent compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
85/100
higher than 73% of 4,460 AI and agents servers
Tools
11
the typical AI and agents server has 6
Tools that change things
0%
typical: 0%. Fewer write tools means less an agent can break
Downloads a week
50
more than 42% of 1,538 AI and agents servers with a package

What its tools let an agent do: 8 read · 3 create

Install Dear Agent in Claude Code, Cursor or VS Code

Runs npx -y dear-agent on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add dear-agent -- npx -y dear-agent
Add to Cursor

What the publisher says

From the Dear Agent repository's README, as published. We do not edit it. Read it on GitHub

Dear Agent

Your AI agent keeps your diary for you. You never open an app or write a word.

You already talk to an AI agent all day. Dear Agent lets that agent quietly keep your personal life journal — filing what you tell it, the photos you send, and the voice notes you record, neatly by date. No app to open. No blank page to face. No habit to build. You just live your life and mention what matters; your agent does the writing.

It is a single, local-first MCP server plus a skill, so it drops into any agent that speaks MCP: Claude Code, Claude Desktop, Cursor, OpenClaw, and more.

Why it is different

  • You do not write it. Your agent does. Every other journal — Day One, Obsidian, Notion, a paper notebook — needs you to open it and type. Dear Agent flips that: you talk, it records.
  • Cross-agent. One diary, readable and writable by whatever agent you use.
  • Text, photos, and voice. Send a picture or a voice note and it is filed under that day.
  • Local-first and yours. Plain markdown on your own disk. No account, no cloud, no lock-in. Delete the folder and it is gone.
  • It remembers with you. "On this day" resurfaces past entries; a weekly digest lets your agent write you a short reflection.

Install

npm install -g dear-agent

Or run it straight from npx (no install):

npx dear-agent

Claude Code / Claude Desktop

claude mcp add dear-agent -- npx -y dear-agent

Or add to your MCP config:

{
  "mcpServers": {
    "dear-agent": {
      "command": "npx",
      "args": ["-y", "dear-agent"]
    }
  }
}

Cursor / OpenClaw / other MCP clients

Point the client at the dear-agent command (stdio transport). Set DEARAGENTDIR if you want the diary somewhere other than ~/.dear-agent.

Then drop SKILL.md into your agent's skills so it knows to keep your diary proactively.

How you use it

You never call tools yourself. You just talk to your agent:

"Remember that I closed the apartment lease today, felt huge relief."

"Save this photo for today — first dinner in the new place." (send the photo)

"What was I doing a year ago today?"

"Give me a recap of this week."

Your agent calls the right tool and keeps the diary current.

It remembers you, and it talks back

Dear Agent is not just storage. Two capabilities turn it into a living memory of your life:

  • recall — your agent can ask the diary "what do you know about this person — their people, patterns, open commitments?" and get a synthesized portrait. Your agent finally remembers your life, so every conversation is grounded in who you actually are.
  • reflect — a proactive loop that surfaces patterns, progress, open loops, and on this day memories, so your diary reflects your life back to you instead of sitting in a folder.

Obsidian stores your notes. Dear Agent remembers your life and talks back. And because it never leaves your machine, it's the one place you can be completely honest.

Works with any agent, harness, or interface

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Dear Agent: common questions

Is Dear Agent MCP server safe?
Yes, by our scan: it is graded A (85/100). Read the Dear Agent safety report
How do I install Dear Agent?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Dear Agent need an API key?
No secret keys are declared. It reads 1 setting from the environment.
Is Dear Agent maintained?
The last commit was 127 days ago (2026-06-30). The latest release is v0.2.3.
What can I use instead of Dear Agent?
Servers from other publishers that do the same job: Basic Memory MCP server, HOL Guard MCP server and Agent-Native Chat MCP server.
How does Dear Agent compare with other AI and agents MCP servers?
safety score 85/100 (higher than 73% of 4,460 AI and agents servers); tools 11 (the typical AI and agents server has 6); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to Dear Agent

Same job from other publishers: the closest match first, then the best rated.

  • Basic Memory
    Local-first knowledge management with bi-directional LLM sync via Markdown files.
    B
  • HOL Guard
    Local-first AI agent security evidence and approval workflows through HOL Guard's stdio MCP server.
    A
  • Agent-Native Chat
    Minimal chat-first app with durable threads, actions, and the app-agent loop
    A
  • SuperCompress
    Compress coding-agent context ~64%. Hosted Neural Keep MCP for Cursor/Claude/Codex.
    B
  • Watch Skill
    Watch video and live sessions, keep timestamped evidence, and verify an agent's own work.
    B