Files
Memoh/AGENTS.md
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BBQ d6aebf654f feat(devenv): add containerized development environment (#116)
* feat(devenv): add containerized development environment

Replace local-process dev workflow with a fully containerized stack
using docker compose. This enables consistent development across
machines without requiring local Go/Node toolchains or containerd.

- Add Dockerfile.server.dev with containerd + CNI networking support
- Add Dockerfile.web.dev for frontend dev server
- Add server-dev-entrypoint.sh for containerd lifecycle management
- Expand devenv/docker-compose.yml with server, agent, web, migrate
  and deps services with proper health checks and dependency ordering
- Update app.dev.toml to use container service names instead of localhost
- Refactor mise.toml dev tasks to drive docker compose workflow
- Support agent_gateway.server_addr in config package for inter-container
  communication

* feat(devenv): add hot-reload and registry mirror support

- Add air for Go server hot-reload in dev containers
- Fix agent_gateway host in dev config (0.0.0.0 -> agent)
- Add configurable registry mirror for China mainland users
- Unify MCP image refs via MCPConfig.ImageRef()

* feat(scripts): add China mainland mirror option to install script

Prompt users to opt-in to memoh.cn mirror during installation,
which applies docker-compose.cn.yml overlay and sets registry
in config.toml for MCP image pulls.
2026-02-26 17:32:19 +08:00

9.2 KiB

AGENTS.md

Project Overview

Memoh is a multi-member, structured long-memory, containerized AI agent system platform. Users can create AI bots and chat with them via Telegram, Discord, Lark (Feishu), and more. Every bot has an independent container and memory system, allowing it to edit files, execute commands, and build itself — providing a secure, flexible, and scalable solution for multi-bot management.

Architecture Overview

The system consists of three core services:

Service Tech Stack Port Description
Server (Backend) Go + Echo 8080 Main service: REST API, auth, database, container management
Agent Gateway Bun + Elysia 8081 AI chat gateway: handles chat requests and tool execution
Web (Frontend) Vue 3 + Vite 8082 Management UI: visual configuration for Bots, Models, Channels, etc.

Infrastructure dependencies:

  • PostgreSQL — Relational data storage
  • Qdrant — Vector database for memory semantic search
  • Containerd — Container runtime providing isolated environments per bot

Tech Stack

Backend (Go)

  • Framework: Echo (HTTP)
  • Dependency Injection: Uber FX
  • Database Driver: pgx/v5
  • Code Generation: sqlc (SQL → Go)
  • API Docs: Swagger/OpenAPI (swaggo)
  • Containers: containerd v2

Agent Gateway (TypeScript)

  • Runtime: Bun
  • Framework: Elysia

Frontend (TypeScript)

  • Framework: Vue 3 (Composition API)
  • Build Tool: Vite
  • State Management: Pinia + Pinia Colada
  • UI: Tailwind CSS + custom component library (@memoh/ui) + Reka UI
  • Package Manager: pnpm monorepo

Tooling

  • Task Runner: mise
  • Package Managers: pnpm (frontend monorepo), Go modules (backend)

Project Structure

Memoh/
├── cmd/                        # Go application entry points
│   ├── agent/                  #   Main backend server (main.go)
│   ├── mcp/                    #   MCP server binary
│   └── cli/                    #   CLI tool
├── internal/                   # Go backend core code
│   ├── handlers/               #   HTTP handlers (REST API)
│   ├── services/               #   Business logic services
│   ├── db/                     #   Database layer
│   │   └── sqlc/               #   ⚠️ Auto-generated by sqlc — DO NOT modify manually
│   ├── channel/                #   Channel adapters (Telegram, Feishu, Local)
│   ├── memory/                 #   Memory / embedding system
│   ├── mcp/                    #   MCP protocol implementation
│   ├── conversation/           #   Conversation flow management
│   ├── bots/                   #   Bot management
│   └── containerd/             #   Container management
├── agent/                      # Agent Gateway (Bun/Elysia)
│   └── src/
├── packages/                   # Frontend monorepo
│   ├── web/                    #   Main web app (Vue 3)
│   ├── ui/                     #   Shared UI component library
│   ├── sdk/                    #   TypeScript SDK (auto-generated from OpenAPI)
│   ├── cli/                    #   TypeScript CLI
│   └── config/                 #   Shared configuration utilities
├── db/                         # Database
│   ├── migrations/             #   SQL migration files
│   └── queries/                #   SQL query files (sqlc input)
├── conf/                       # Configuration templates (app.example.toml, app.dev.toml, app.docker.toml)
├── devenv/                     # Development environment (docker-compose for local infra)
├── docker/                     # Docker build & runtime (Dockerfiles, entrypoints, nginx.conf)
├── docs/                       # Documentation site
├── scripts/                    # Utility scripts
├── docker-compose.yml          # Docker Compose orchestration (production)
├── mise.toml                   # mise tasks and tool version definitions
└── sqlc.yaml                   # sqlc code generation config

Development Guide

Prerequisites

  1. Install mise
  2. Install toolchains and dependencies: mise install
  3. Initialize the project: mise run setup
  4. Start the dev environment: mise run dev

Common Commands

Command Description
mise run dev Start the containerized dev environment (all services)
mise run dev:down Stop the dev environment
mise run dev:logs View dev environment logs
mise run dev:restart Restart a service (e.g. -- server)
mise run setup Copy config + install dependencies
mise run sqlc-generate Regenerate Go code after modifying SQL files
mise run swagger-generate Generate Swagger documentation
mise run sdk-generate Generate TypeScript SDK (depends on swagger-generate)
mise run db-up Initialize and migrate the database
mise run db-down Drop the database

Docker Deployment

docker compose up -d        # Start all services
# Visit http://localhost:8082

Key Development Rules

Database, sqlc & Migrations

  1. SQL queries are defined in db/queries/*.sql.
  2. All Go files under internal/db/sqlc/ are auto-generated by sqlc. DO NOT modify them manually.
  3. After modifying any SQL files (migrations or queries), run mise run sqlc-generate to update the generated Go code.

Migration Rules

Migrations live in db/migrations/ and follow a dual-update convention:

  • 0001_init.up.sql is the canonical full schema. It always contains the complete, up-to-date database definition (all tables, indexes, constraints, etc.). When adding schema changes, you must also update 0001_init.up.sql to reflect the final state.
  • Incremental migration files (0002_, 0003_, ...) contain only the diff needed to upgrade an existing database. They exist for environments that already have the schema and need to apply only the delta.
  • Both must be kept in sync: every schema change requires updating 0001_init.up.sql AND creating a new incremental migration file.
  • Naming: {NNNN}_{description}.up.sql and {NNNN}_{description}.down.sql, where {NNNN} is a zero-padded sequential number (e.g., 0005). Always use the next available number.
  • Paired files: Every incremental migration must have both an .up.sql (apply) and a .down.sql (rollback) file.
  • Header comment: Each file should start with a comment indicating the migration name and a brief description:
    -- 0005_add_feature_x
    -- Add feature_x column to bots table for ...
    
  • Idempotent DDL: Use IF NOT EXISTS / IF EXISTS guards (e.g., CREATE TABLE IF NOT EXISTS, ADD COLUMN IF NOT EXISTS, DROP TABLE IF EXISTS) so migrations are safe to re-run.
  • Down migration must fully reverse up: The .down.sql must cleanly undo everything its .up.sql does, in reverse order.
  • After creating or modifying migrations, run mise run sqlc-generate to regenerate the Go code, then mise run db-up to apply.

API Development Workflow

  1. Write handlers in internal/handlers/ with swaggo annotations.
  2. Run mise run swagger-generate to update the OpenAPI docs.
  3. Run mise run sdk-generate to update the frontend TypeScript SDK (packages/sdk/).
  4. The frontend calls APIs via the auto-generated @memoh/sdk.

Frontend Development

  • Use Vue 3 Composition API with <script setup> style.
  • Shared components belong in packages/ui/.
  • API calls use the auto-generated @memoh/sdk.
  • State management uses Pinia; data fetching uses Pinia Colada.

Container Management

  • In Docker deployment, containerd runs inside the server container.
  • Each bot has its own isolated container instance.

Database Tables

Table Description
users User accounts (admin/member roles)
channel_identities Unified identity system (cross-platform)
bots Bot definitions with model references
bot_members Bot membership (owner/admin/member)
bot_channel_configs Per-bot channel configurations
bot_channel_routes Conversation route mapping
bot_history_messages Unified message history
llm_providers LLM provider configurations
models Model definitions (chat/embedding types)
mcp_connections MCP connection configurations
containers Bot container instances
snapshots Container snapshots
schedule Scheduled tasks (cron)
subagents Sub-agent definitions
search_providers Search engine provider configurations

Configuration

The main configuration file is config.toml (copied from conf/app.example.toml or conf/app.dev.toml for development), containing:

  • [server] — HTTP listen address
  • [admin] — Admin account credentials
  • [auth] — JWT authentication settings
  • [containerd] — Container runtime socket path
  • [mcp] — MCP image and data configuration
  • [postgres] — PostgreSQL connection
  • [qdrant] — Qdrant vector database connection
  • [agent_gateway] — Agent Gateway address
  • [web] — Web frontend address
  • [brave] — Brave Search API configuration