Telegram Chat Bot

Bot for Telegram with a lot of commands and AI (Ollama/Mistral/OpenAI) written in TypeScript + NodeJS/Bun runtime + SQLite/PostgreSQL/in-memory storage

Quick Start

cp .env.example .env
# Edit .env: add BOT_TOKEN, CREATOR_ID and configure optional AI models (MISTRAL_API_KEY, OPENAI_API_KEY, OLLAMA_ADDRESS)
# For OpenAI-compatible servers (llama.cpp, etc.), set OPENAI_BACKEND=compatible and OPENAI_BASE_URL.
# Optional: set DATABASE_URL to postgres://... for PostgreSQL or :memory: for ephemeral SQLite.
# Optional: set DATA_PATH if you want to override the default local storage directory.

With Bun (Recommended):

bun install
bun run build && bun start

With Node.js:

npm install
npm run build && npm start

The bot initializes and migrates its database schema automatically on startup. /exportdb sends the SQLite file when available, plus a .sql dump and a JSON backup. /importdb restores the database from the JSON backup format.

MCP tool servers can be configured through MCP_SERVERS in .env. Use a JSON array with stdio or http transports. Example:

MCP_SERVERS=[{"name":"local-tools","transport":"stdio","command":"node","args":["./mcp-server.js"]}]

If you want to disable all built-in local tools and use only MCP tools, set:

DISABLE_LOCAL_TOOLS=true

If you want a partial filter instead, use tool names:

LOCAL_TOOL_ALLOWLIST=get_datetime,web_search
LOCAL_TOOL_DENYLIST=shell_execute,python_interpreter

For local Ollama document RAG, install an embedding model locally and set it in .env:

ollama pull nomic-embed-text
OLLAMA_EMBEDDING_MODEL=nomic-embed-text

Tool ranker fallback is configurable via TOOL_RANKER_FALLBACK_POLICY:

• MAIN_MODEL - use the provider's main chat model to rank tools if a dedicated ranker target is missing or fails
• ALL_TOOLS - skip tool ranking fallback and allow all tools
• NO_TOOLS - skip tool ranking fallback and allow no tools

The default is ALL_TOOLS.

With Docker Compose:

docker compose up -d

Set IMAGE_TAG in .env if you want to override the pinned release tag used by docker-compose.yml.

With Docker:

docker build -f Dockerfile -t tg-bot .
docker run -d --env-file .env -v $(pwd)/data:/config/data tg-bot

With Docker (Bun):

docker build -f Dockerfile-bun -t tg-bot-bun .
docker run -d --env-file .env -v $(pwd)/data:/config/data tg-bot-bun

Requirements

• Node.js >= 20.19 OR Bun >= 1.0
• Docker (optional)

Features

• AI chat (Mistral, Ollama, OpenAI)
• Local document RAG for Ollama without third-party providers
• Custom answers and commands
• Admin management
• User blocking (mute/unmute)
• QR code generation
• System info
• And more...