Dev Tools & GitMCP RegistrynpmA · 82

KEPTA — the memory for AI systems MCP server

Name: KEPTA — the memory for AI systems
Author: DamianTodorovic

io.github.DamianTodorovic · Updated 16d ago

Local encrypted memory for AI: hybrid search, 8 MCP tools, one file you own. Free, no cloud.

At a glance

KEPTA — the memory for AI systems is an MCP server in the Dev Tools & Git category. It runs locally over stdio via `npx -y kepta-mcp`, and declares no required credentials. It scores A (82/100) on the MCP Skills Hub health score as of Oct 28, 2026.

Source 2

One-click install

VS Code VS Code Insiders Cursor

Opens your editor and pre-fills the config. Your editor will ask before adding it.

How to install KEPTA — the memory for AI systems in your AI client

Setup for Claude Code, Claude Desktop, Cursor, Codex, Windsurf, Cline and VS Code — copy-paste ready.

How to install KEPTA — the memory for AI systems in Claude CodeAnthropic's agentic CLI

Add the server

bash

claude mcp add kepta -- npx -y kepta-mcp

2
Verify it's connected
bash
```
claude mcp list
```
Sharing it with your team?
Add `--scope project` to write it to .mcp.json in the repository root, which you can commit (with the secrets left as environment variables).
Use it in a session
Ask Claude to use the tools this server exposes. It discovers them automatically.

How to install KEPTA — the memory for AI systems in Claude DesktopDesktop app (MCP config)

Open your MCP config
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json · Windows: %APPDATA%\Claude\claude_desktop_config.json

Add this server

json

{
  "mcpServers": {
    "kepta": {
      "command": "npx",
      "args": [
        "-y",
        "kepta-mcp"
      ]
    }
  }
}

Restart Claude Desktop
The tools appear under the 🔌 menu once the app reloads.

How to install KEPTA — the memory for AI systems in CursorAI-first code editor

Create / edit .cursor/mcp.json in your project

json

{
  "mcpServers": {
    "kepta": {
      "command": "npx",
      "args": [
        "-y",
        "kepta-mcp"
      ]
    }
  }
}

Enable it
Cursor Settings → MCP → toggle the server on. Tools become available to the Composer/Agent.

How to install KEPTA — the memory for AI systems in Codex CLIOpenAI coding agent

Add to ~/.codex/config.toml

toml

[mcp_servers.kepta]
command = "npx"
args = ["-y", "kepta-mcp"]

Run Codex
Codex loads MCP servers from config.toml on startup and exposes their tools to the agent.

How to install KEPTA — the memory for AI systems in WindsurfCodeium's agentic IDE

Edit ~/.codeium/windsurf/mcp_config.json

json

{
  "mcpServers": {
    "kepta": {
      "command": "npx",
      "args": [
        "-y",
        "kepta-mcp"
      ]
    }
  }
}

Reload
Windsurf → Cascade → refresh MCP servers. Cascade can now call the tools.

How to install KEPTA — the memory for AI systems in ClineVS Code autonomous agent

Open Cline → MCP Servers → Configure
Adds to cline_mcp_settings.json.

Add the server

json

{
  "mcpServers": {
    "kepta": {
      "command": "npx",
      "args": [
        "-y",
        "kepta-mcp"
      ]
    }
  }
}

How to install KEPTA — the memory for AI systems in VS CodeCopilot / MCP support

Create .vscode/mcp.json

json

{
  "servers": {
    "kepta": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "kepta-mcp"
      ]
    }
  }
}

Start it
VS Code shows a ▶ Start action above the server entry. Agent mode (Copilot Chat) can then use the tools.

What tools does KEPTA — the memory for AI systems expose?

This server runs as a local package. We only query remote servers for their tool list — asking this one would mean executing it, so its tools are listed in the documentation below.

What the code can do

Read from the published package source — never executed. Parsed 2 of 2 source files.

This server can run other programs on your machine, read and write files and make network requests.

How it was published

Has a provenance attestation tying this artifact to the commit it was built from.
1 npm maintainer — a single point of compromise · last published by damiantodorovic.

Maintainer of this package and think something here is wrong? Tell us and we'll correct it.

Before you install

Signals gathered from the source repo and package registry — not a safety verdict.

What it can reach

Runs code on your machine — Executes as a local process with your user's permissions, including filesystem access.
Downloads at launch — The package is fetched from its registry each run unless you pin a version.

Last commit 15 days ago — Actively maintained.
Repository created 1 month ago — Very new project with little track record yet.
2 GitHub stars — Very little community usage so far.
149 weekly downloads — Regularly installed by other developers.

Client compatibility

Claude Code: NativeClaude Desktop: NativeCursor: NativeCodex CLI: NativeWindsurf: NativeCline: NativeVS Code: Native

Health score

A · 82

Maintenance, adoption, transparency and packaging — not a safety audit. How this is calculated

Maintenance30%100%
Last commit 15 days ago.
Adoption20%33%
2 stars, 149 weekly downloads.
Transparency20%75%
3/4: ✓ public source repo, ✓ declared license, ✓ documentation, ✗ discoverable tool list.
Provenance15%100%
Package and registry entry point at the same repository.
Packaging15%100%
Publishes a pinned version (3.4.0).

Documentation

Full README

KEPTA — the memory for AI systems

Your AI forgets everything. Every chat starts from zero.

KEPTA is the fix: one local, encrypted memory that every AI reads and writes — Claude, Cursor, Gemini CLI, Cline, any MCP client, and scripts over HTTP. No cloud. No account. One file you own.

Everything an AI system learns goes into an encrypted knowledge base on your own computer — and every AI recalls it in milliseconds, however long the context grows. Documents, decisions, client knowledge, whole chat histories: remembered, linked, contradicted, superseded — never lost.

This repository is the source-available core (BUSL-1.1 — every line public, converts to AGPL-3.0-or-later four years after each release): the memory engine, the MCP server, the HTTP API — and the Python client, which is MIT so any Python project can embed it. Everything that makes the memory smart lives in this free engine. There are no tiers inside the memory — nothing is held back to sell anything.

Questions, security feedback or benchmark critique? → [Discussions](https://github.com/DamianTodorovic/kepta/discussions)

mermaid

flowchart LR
  subgraph Apps["Your AI apps — every client, one memory"]
    direction TB
    A["Claude Desktop · Claude Code"]
    B["Cursor · Gemini CLICline · Codex · Zed"]
    C["Your scripts"]
  end
  subgraph KEPTA["KEPTA — this repository"]
    direction TB
    M["MCP server8 tools · stdio + Streamable HTTP"]
    G["HTTP API · 32 routesPython client · CLI"]
    E["Memory enginehybrid retrieval: FTS5 + vectors + graphRRF fusion → local rerank"]
  end
  D[("One encrypted fileSQLCipher 4 · AES-256~/.kepta/kepta.db")]
  K["OS keychainthe key never leaves"]
  A --> M
  B --> M
  C --> G
  G --> E
  M --> E
  E --> D
  D -.-> K

⚡ One command, every AI client

Needs Node 22.13 or newer (package.json → engines) on the machine you install on; npm has prebuilt SQLite binaries for Node 22, 24 and 26.

bash

npx -y kepta-mcp demo          # six scenes in a throwaway database — nothing of yours is touched
npx -y kepta-mcp setup         # connects Claude Desktop, Claude Code, Cursor, Windsurf, VS Code, Gemini CLI, Cline and Roo Code
npx -y kepta-mcp remember "Client Miller signs renewals in December."   # write a note from the terminal, no AI client needed
npx -y kepta-mcp recall "who signs renewals"                            # read it back: 1 match — ranked by relevance
npx -y kepta-mcp stats         # size, encryption state, top tags
npx -y kepta-mcp timeline "miller"                                     # what was true, and when
npx -y kepta-mcp import chatgpt <export-folder>   # bring your ChatGPT history with you (export → extract → import)

What those two lines answer, verbatim — kepta-mcp 3.2.0 from the registry on 10.10.2026, a throwaway HOME, an empty memory:

text

$ npx -y kepta-mcp remember "Client Miller signs renewals in December."
✓ remembered — Client Miller signs renewals in December.
  type: semantic · id: k-mv2mghs9-fdf75c17

$ npx -y kepta-mcp recall "who signs renewals"
1 match — ranked by relevance

1. Client Miller signs renewals in December. · semantic · today
  Client Miller signs renewals in December.
  #remember

A note is one thing your memory holds — remember writes one by hand, your AI client writes the same kind through the memory_save tool. Then tell your AI something worth keeping — and watch it arrive. Details in the Quick start.

Excerpt — the full document is on GitHub.

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