About Memoh

What is Memoh?

Memoh is a multi-member, structured long-memory, containerized AI agent system platform. You can create your own AI bots and chat with them via Telegram, Discord, Lark (Feishu), Email, Web, or CLI. Every bot has an independent container and memory system, allowing it to edit files, execute commands, and access the network within its own container — like having its own computer and brain.

Key Features

Multi-Bot Management

Create multiple bots. Humans and bots, or bots with each other, can chat privately, in groups, or collaborate. Supports role-based access control (owner / admin / member) with ownership transfer. Build bot teams, or set up accounts for family members to manage daily tasks with bots.

Multi-User & Identity Recognition

Bots can distinguish individual users in group chats, remember each person's context separately, and send direct messages to specific users. Cross-platform identity binding unifies the same person across Telegram, Discord, Lark, and Web.

Containerized Isolation

Each bot runs in its own isolated container (powered by Containerd) with a separate filesystem and network. Bots can freely read/write files and execute commands within their containers without interfering with each other. Supports container snapshots for save/restore.

Memory Engineering

A deeply engineered memory layer:

• Automatically extracts key facts from each conversation turn and stores them as structured memories
• Hybrid retrieval: semantic search (via Qdrant vector database) + keyword retrieval (BM25)
• Loads the last 24 hours of conversation context by default
• Automatic memory compaction and rebuild capabilities
• Multi-language auto-detection

Multi-Platform Support

Unified channel adapter architecture for connecting to multiple messaging platforms:

• Telegram — Full support with streaming, Markdown, attachments, and replies
• Discord — Full support
• Lark (Feishu) — Full support
• Email — Inbound webhook + outbound providers (Mailgun, generic SMTP)
• Web — Built-in web chat interface with streaming
• CLI — Command-line chat

Agent Capabilities

Bots come with a rich set of built-in tools:

• Web Search — Configurable search providers (Brave, Bing, Google, Tavily, SearXNG, DuckDuckGo, and more) for real-time information
• Subagents — Create specialized subagents with independent context, assign skills, and delegate complex tasks
• Skills — Define bot personality via IDENTITY.md, SOUL.md, and modular skill files that bots can enable/disable at runtime
• Container Operations — Read/write files, edit code, and execute commands inside the container
• Memory Management — Search and manage memories
• Messaging — Send messages and reactions to specific users or channels

Multi-LLM Provider Support

Flexibly switch between a wide range of LLM providers via four client types:

• OpenAI Responses API, OpenAI Chat Completions API (including compatible services)
• Anthropic Messages API, Google Generative AI API

Per-bot model assignment for chat, memory, and embedding.

MCP Protocol Support

Full MCP (Model Context Protocol) support via HTTP, SSE, and Stdio to connect external tool services. Built-in tools for container operations, memory search, web search, scheduling, messaging, and more. Each bot can have its own independent MCP connections.

Scheduled Tasks

Configure scheduled tasks using cron expressions to automatically run commands at specified times. Supports max execution count limits and manual triggers.

Inbox

Cross-channel inbox — messages from other channels are queued and surfaced in the system prompt so the bot never misses context.

Graphical Configuration

Modern web UI (Vue 3 + Tailwind CSS) with real-time streaming chat, tool call visualization, container filesystem browser, and visual configuration for bots, channels, providers, models, MCP, skills, and all other settings. Dark/light theme, i18n. No coding required to set up your own AI bot.

CLI Tool

A command-line tool for bot management, channel configuration, model management, streaming chat, and more — designed for developers who prefer the terminal. See CLI documentation.

Installation

To get Memoh running:

• Docker — Recommended. One-click or manual setup with Docker Compose. Includes all services (PostgreSQL, Qdrant, Containerd, server, agent, web) — no extra dependencies on the host.