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Health: Not checked yetWe have not completed a health check for this listing yet.Last checked 8/10/2026, 11:27:22 PM

KIAgent

Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View RepositoryVisit Website

Your mail, chats and documents indexed into a local SQLite corpus, served to AI clients over MCP.

Quick Install

Automated & IDE Setup

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

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Install Config Generator

Choose your client
claude_desktop_config.json
{
  "mcpServers": {
    "kiagent": {
      "command": "npx",
      "args": [
        "-y",
        "kiagent"
      ]
    }
  }
}

πŸ’‘ Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

Install Directory Badge Claim listing AlternativesπŸ—„οΈ More in Databases

Documentation Overview

KIAgent logo

KIAgent

Your personal AI brain β€” local, open source, speaks MCP.

Website Β· Download Β· Architecture docs

License: MIT Platforms

KIAgent main window β€” Sources screen with Gmail and HubSpot syncing

Everyone is building the company a brain β€” a knowledge layer that ingests everything an organization knows, so AI can answer and act with real context. KIAgent is that layer for you personally. A company brain lives in someone else's cloud and belongs to your employer; your personal AI brain runs on your own machine, works with whatever AI you choose, and is yours forever.

Concretely, KIAgent is a desktop app that ingests your personal data β€” mail, documents, chats, notes β€” on your own machine, stores it in a local database, and serves it to AI assistants over MCP. Everything stays on your computer: ingestion, parsing, OCR and vision all run locally β€” with on-device inference powered by llama.cpp β€” so your AI assistant can know your world without your data ever leaving your machine.

At its core, KIAgent is a platform: a small set of host capabilities (MCP, database, local LLM, filesystem, web access) wired together by an ingestion engine, plus a plugin/extension system that lets sandboxed connectors use those capabilities to bring in new data sources.

mermaid
flowchart TB
    GMAIL(["Gmail"])
    DRIVE(["Drive"])
    SLACK(["Slack"])
    NOTION(["Notion"])
    MORE(["…"])

    PLUGINS["Plugins / extensions"]

    WEB["Web"]
    LLM["Local LLM"]
    FS["Filesystem"]
    DB[("DB")]
    MCP["MCP"]

    GMAIL --> PLUGINS
    DRIVE --> PLUGINS
    SLACK --> PLUGINS
    NOTION --> PLUGINS
    MORE --> PLUGINS
    PLUGINS <--> WEB
    PLUGINS <--> LLM
    PLUGINS <--> FS
    PLUGINS <--> DB
    DB --> MCP

    classDef service fill:#e8f0fe,stroke:#4285f4,color:#1a3c78
    classDef core fill:#e6f4ea,stroke:#34a853,color:#1e4620
    classDef hub fill:#fce8e6,stroke:#ea4335,color:#7a1c14,stroke-width:2px

    class GMAIL,DRIVE,SLACK,NOTION,MORE service
    class WEB,LLM,FS,DB,MCP core
    class PLUGINS hub

Plugins sit at the center: each one connects to a third-party service (Gmail, Drive, Slack, Notion, ...) or the local filesystem, pulls your data in, uses the local LLM to process it, and lands it in the database β€” which MCP then serves to AI assistants. Access is mediated and permission-gated; plugins never touch these capabilities directly.

This repo: kiagent-core

This repository is the MIT-licensed core that KIAgent is built from, in the same spirit as VS Code and Code-OSS:

  • kiagent-core (this repo) β€” the open-source core. npm run package:oss produces an unbranded kiagent-core build you can run and redistribute under the MIT license.
  • KIAgent β€” the branded, signed product built from this core and distributed at localkiagent.com/download.

OAuth-backed sources (Gmail, Microsoft) read client credentials from the environment at build time β€” see .env.example / CI secrets. Forks and OSS builds supply their own OAuth client IDs.

Main components

  • Ingestion engine (src/main/core/engine) β€” pulls batches from sources on a cadence, converts raw items (mail, PDFs, images) into indexed documents, and commits them to the store. Built-in sources live in src/main/sources (Gmail, IMAP, Microsoft 365, local folders).
  • Database (src/main/core/store, src/main/db) β€” a SQLite corpus (better-sqlite3) holding documents, metadata and search indexes, written by the app and read by the MCP processes.
  • MCP server (src/main/core/mcp, src/main/mcp) β€” exposes the corpus to AI assistants over two transports sharing one tool registry: an HTTP server inside the app, and a standalone stdio entry point that clients like Claude Desktop spawn directly.
  • Local LLM (src/main/providers/local-llm, src/main/providers/apple-vision) β€” on-device inference via a bundled llama.cpp server (backend auto-detection, curated model tiers) plus native OCR/vision helpers for scanned documents and images.
  • Filesystem β€” local-folder ingestion, model storage, temp workspaces for conversion workers (src/main/workers, src/main/converter).
  • Web β€” outbound HTTP for source APIs, OAuth flows (src/main/auth, src/main/platform/oauth-providers.ts), and marketplace downloads.
  • Plugin / extension system (src/main/platform, src/main/marketplace) β€” connectors run in isolated host processes with a manifest-declared, permission-gated view of the platform (sources, auth, storage, network). A GitHub-backed marketplace handles discovery, install and updates. A second, privileged tier lets a product build ship first-party extensions inside the app package itself β€” see docs/architecture/extension-platform.md for the full model, including the bundled/unsafe.mainProcess tier and product.json.
  • Renderer (src/renderer) β€” the React UI: source setup, marketplace, MCP connection status, settings and logs.

Developing

Terminal
npm install
npm start          # run in development (hot reload)

Other useful scripts:

Terminal
npm test                 # jest test suites
npm run lint             # eslint + prettier
npm run typecheck        # tsc, no emit
npm run package          # build a distributable
npm run package:oss      # build an unbranded kiagent-core distributable
npm run vendor:inference # fetch llama.cpp server + build vision helper

Repository layout

Code
src/main       Electron main process: engine, store, MCP, platform, sources, providers
src/renderer   React UI (screens: Sources, Marketplace, Connection, Settings)
src/shared     Contracts and UI primitives shared across processes
concept/       Types-only blueprint for the core redesign
docs/          Design specs and implementation plans
native/        Native helper sources (vision/OCR)
scripts/       Build and vendoring scripts

MCP directories

KIAgent is published on the official MCP registry as com.localkiagent/kiagent (see server.json) and listed on Glama:

kiagent-core MCP server

Acknowledgements

KIAgent's on-device inference is powered by llama.cpp, created by Georgi Gerganov and maintained by the ggml-org community (MIT license). The app bundles prebuilt llama-server binaries from the official llama.cpp releases (npm run vendor:inference fetches them at build time). Running capable models privately on consumer hardware is only practical because of their work β€” thank you.

License

MIT β€” see LICENSE.

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Frequently Asked Questions about KIAgent

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "kiagent": { "command": "npx", "args": ["-y", "KIAgent"] } }

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Technical Specs & Signals

CategoryπŸ—„οΈDatabases
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
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27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
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Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

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