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  1. Home
  2. 🧠 Knowledge & Memory
  3. Fimemory
Fimemory logo
Health: ActiveRecent health check succeeded.Last checked 10/4/2026, 7:31:58 AM

Fimemory

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memorylocal-firstmcpencryptionai-tools

Local-first encrypted memory store that connects supported AI tools to files on your computer through MCP.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON ▾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for fimemory, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing Alternatives🧠 More in Knowledge & Memory

Overview

The fimemory MCP server connects supported AI tools to a local folder of notes and project context. It uses ordinary files, encrypts new stores at rest by default, and exposes the store through MCP after setup writes the relevant host configuration and memory rules. Reach for it when several agents need shared context without sending data to a hosted memory service. It also supports plaintext stores, local diagnostics, guided onboarding, and user-managed Git-based movement between machines.

Use cases

•Share project notes across several AI tools
•Keep agent memory in local files
•Encrypt a personal memory store at rest
•Onboard a new machine from a private Git remote
•Diagnose incomplete MCP and host configuration

Key features

•Local file-based memory store
•Encryption at rest by default
•MCP configuration for multiple AI hosts
•Guided setup and onboarding
•Diagnostic checks with doctor
•User-managed Git-based machine transfer

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Fimemory.

Extracted Tool Capabilities
Local file-based memory store
Encryption at rest by default
MCP configuration for multiple AI hosts
Guided setup and onboarding
Diagnostic checks with doctor
User-managed Git-based machine transfer

How Fimemory works

What fimemory MCP server does

The fimemory MCP server gives AI tools access to a shared memory store kept on your own computer. The store is an ordinary folder of files rather than a proprietary database, and nothing is uploaded by default. New stores use encryption at rest unless setup is run with --plaintext; an encrypted store can later be exported to readable Markdown after unlocking.

The store is intended for notes, project context, and other information that agents may need across sessions. Agents only use the memory when they are connected and instructed to consult it. The package cannot force a host application to retrieve memory on every turn.

How it works

Running fimemory setup creates a store when one does not already exist, installs the MCP entry for detected hosts, adds memory rules, installs the Claude Code retrieval hook when applicable, and runs a diagnostic check. Each step reports its own result, so a failure in one configuration does not prevent later checks. Repeating setup is safe; completed work is reported as unchanged.

Encrypted setup asks for a passphrase and prints a 24-word recovery phrase once. The store remains unlocked locally for roughly eight hours. Scripted use can provide --passphrase, set GESTALT_PASSPHRASE, or explicitly select plaintext mode. Losing both the passphrase and recovery phrase makes the data unrecoverable.

The fimemory MCP server can be used by Claude Code, Codex CLI, Gemini CLI, Grok CLI, Windsurf, Cursor, and Claude Desktop configurations described by the project. Claude Code receives a command to paste because its CLI owns the relevant configuration schema. Retrieval behavior differs by host: Claude Code can use a hook, while other hosts rely on the installed rules and MCP access.

Setup and configuration

Install the package globally and run the guided setup:

Terminal
npm i -g fimemory
fimemory setup

Use fimemory onboard after setup to approve an initial suggested edit, answer questions about working habits, and verify a search against the resulting store. Use fimemory doctor to inspect the installation and identify missing configuration. Individual commands are also available for initialization, MCP installation, hooks, and rules.

For an unencrypted store, run fimemory setup --plaintext. A plaintext store can later be converted with fimemory encrypt. If npm cannot write to its global directory, configure a user-owned prefix instead of using elevated permissions.

Tools and capabilities

  • Connects multiple AI hosts to one local memory folder.
  • Stores information as user-owned files.
  • Encrypts new stores by default and supports passphrase-based recovery.
  • Installs MCP configuration, host rules, and a Claude Code retrieval hook where supported.
  • Provides setup, onboard, doctor, encrypt, join, and pull commands.
  • Supports movement between machines through a Git remote that the user controls.

Limitations and notes

Automated synchronization is not included. Multi-machine use requires configuring a private Git remote, running fimemory join <url> on another machine, and using fimemory pull before and after sessions. Conflicting edits do not silently merge; the losing version becomes a pending proposal for review.

The project reports hands-on use on Windows, macOS, and Linux, but host configuration paths for Windsurf, Cursor, and Claude Desktop are vendor-documented and not verified on disk by the project. Linux clipboard operations require xclip or wl-clipboard when applicable. Team features beyond a user's own remote are outside the shipped scope.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

npm downloads
216
Package downloads in the last 30 days.
Last commit
1mo ago
Most recent push to the default branch.
Directory activity
1 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Fimemory

fimemory is an MCP server that connects AI tools to a local folder of shared notes and project context. Its main tools include the setup, onboard, doctor, encrypt, join, and pull commands, while MCP access lets supported agents read the store. New stores are encrypted at rest by default, with no hosted account or server required.

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Technical Specs & Signals

Category🧠Knowledge & Memory
More technical detailsExpand ▾
ClientsClaude Code, OpenAI Codex CLI, Gemini CLI, Windsurf, Cursor, Claude Desktop
Last updatedOct 6, 2026
5/5 checks healthy over the last 43d
Views1
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars0
GitHub Star CountTotal stargazers on GitHub representing community popularity (0 stars).
Last commit1mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Aug 22, 2026
npm downloads216/mo
Monthly npm DownloadsAverage monthly package installs recorded from npm registry statistics.
35Quality signal: Fair · 35/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools11/30
Adoption & activity5/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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