openlama 0.1.50

Personal AI agent bot — Telegram + Ollama

openlama

A fully local AI agent bot powered by Ollama.
Chat via Telegram or terminal — tool calling, image generation, scheduled tasks, custom skills.
All running on your own hardware. Your data never leaves your machine.

한국어

---

Why openlama?

Most AI assistants send your data to cloud servers. openlama runs entirely on your local machine using Ollama, giving you a personal AI agent with full tool access and zero data leakage.

Optimized for Gemma 4 models, but works with any Ollama-compatible model.

---

Features

• 100% Local — No cloud APIs. All processing on your hardware.
• Dual Channel — Telegram bot + terminal TUI with shared conversation context.
• 18 Built-in Tools — Web search, code execution, file I/O, image generation, Git, and more.
• Custom Skills — Create reusable instruction sets triggered by keywords.
• MCP Support — Connect external tool servers via Model Context Protocol.
• Scheduled Tasks — Cron-based recurring tasks executed by AI.
• Multi-prompt System — SOUL, USERS, MEMORY, SYSTEM prompts for fine-grained personality control.
• Auto-update — openlama update upgrades both openlama and Ollama.
• Cross-platform — macOS, Linux, Windows.
• Self-healing — openlama doctor fix auto-diagnoses and repairs issues.

---

Quick Start

1. Install

# Recommended
uv tool install openlama

# Or with pip
pip install openlama

2. Setup

openlama setup

The interactive wizard will:

  ● Step 1/5 — Ollama
  ✓ Ollama is installed
  ✓ Ollama server running (v0.20.3)

  ● Step 2/5 — Models
  ? Select models to download:
    ✓ gemma4:e4b       9.6 GB  [recommended]
      qwen3:8b         5.2 GB  [light]
      deepseek-r1:8b   5.2 GB  [coding]

  gemma4:e4b (pulling manifest)  ━━━━━━━━━━━━━━  4.2/9.6 GB  52.3 MB/s  0:01:43

  ● Step 3/5 — Channel
  ? Enter Telegram bot token (@BotFather): 1234567890:ABC...
  ✓ Connected: @your_bot_name

  ● Step 4/5 — Password
  ? Set admin password: ********

  ● Step 5/5 — Features
  ✓ ComfyUI detected: macOS Desktop App

  ╭─────────────────────────────────────────────╮
  │  ✅ Setup complete!                          │
  │                                              │
  │  Start:   openlama start                     │
  │  Chat:    openlama chat                      │
  │  Doctor:  openlama doctor                    │
  ╰─────────────────────────────────────────────╯

3. Run

# Start Telegram bot in background
openlama start -d

# Open terminal chat (shares context with Telegram)
openlama chat

4. Health Check

openlama doctor

  ✓  Data directory         /home/user/.config/openlama
  ✓  Database               7 tables
  ✓  Telegram bot token     Set (12345678...nqbw)
  ✓  Python dependencies    All critical packages available
  ✓  Boot service           systemd user service registered
  ✓  Disk space             120.5 GB free
  ✓  Telegram connection    Bot @your_bot is reachable
  ✓  Ollama server          Connected (http://127.0.0.1:11434)
  ✓  Ollama version         v0.20.3 (latest)
  ✓  Ollama models          3 models available
  !  ComfyUI                Not running (auto-start configured)

  17 passed · 1 warning(s)

---

Terminal Chat (TUI)

openlama chat

──────────────────────────── openlama ─────────────────────────────
  model: gemma4:e4b | ctx: 12% (8 turns) | telegram: @your_bot
  Type / for commands, /quit to exit.

You: What's the weather in Seoul?

╭──────────────────────────── AI ─────────────────────────────────╮
│                                                                  │
│  I'll search for that.                                           │
│                                                                  │
│  Based on current data, Seoul is 18°C with partly cloudy skies.  │
│  Humidity is 45% with light winds from the northwest.            │
│                                                                  │
╰──────────────────────────────────────────────────────────────────╯
  📊 ██░░░░░░░░░░░░░░░░░░ 12.3% (2,841/32,768 tokens)  |  turns: 9

Chat Commands

Type / to see all available commands:

  Chat
    /help             Show available commands
    /clear            Clear conversation context
    /status           Show session and context info
    /compress         Compress conversation context
    /session          View/extend session
    /export           Export conversation history
    /profile          Redo profile setup
    /quit             Exit chat

  Model
    /model            Show or change current model
    /models           List available models (with capabilities)
    /pull             Download a new model
    /rm               Delete a model

  Settings
    /settings         Interactive model settings
    /set <p> <v>      Change a parameter
    /think            Toggle think/reasoning mode
    /systemprompt     View/edit prompt files

  System
    /ollama           Ollama server management
    /skills           List installed skills
    /mcp              MCP server status
    /cron             View and manage scheduled tasks

---

Telegram Bot

After openlama start, open your bot in Telegram:

1. Login — Send any message, enter the admin password
2. Profile Setup — Select language, describe yourself, set agent identity
3. Chat — Start chatting. The bot uses all available tools automatically.

Telegram Features

• Inline keyboard menus for settings, model selection
• Streaming responses with real-time edits
• Image/document/audio/video/ZIP analysis
• Voice message transcription (STT via faster-whisper)
• Context bar showing token usage (Ollama actual tokens)
• Prompt file editor via inline buttons

---

Built-in Tools (20+)

Tool	Description
web_search	Search the web via DuckDuckGo
url_fetch	Fetch and extract text from URLs
calculator	Evaluate math expressions
code_execute	Run Python, Node.js, or Shell code
shell_command	Execute system commands
file_read	Read files or list directories
file_write	Write or append to files
git	Git operations (status, log, diff, commit)
process_manager	List/kill processes, system status
tmux	Full tmux terminal multiplexer control
image_generate	Text-to-image via ComfyUI
image_edit	Image editing via ComfyUI
memory	Long-term memory save/search/delete
skill_creator	Create/manage/install custom skills
mcp_manager	Install/manage MCP tool servers
cron_manager	Schedule recurring AI tasks
get_datetime	Current date and time
self_update	Check and install openlama updates
whisper	Audio/voice transcription (STT, optional)
obsidian_tool	Obsidian vault read/write (optional)

The AI understands tool requests in any language:

"서버 상태 확인해줘" → shell_command "search for latest AI news" → web_search "매일 10시에 뉴스 요약해줘" → cron_manager "tmux 세션 열어줘" → tmux "봇 업데이트해줘" → self_update

---

Custom Skills

Skills are reusable instruction sets that activate on trigger keywords.

Create via CLI

openlama skill create

Create via Chat

"Create a skill called 'code-reviewer' that triggers when I say 'review this' — it should read the file, check for bugs, and suggest fixes"

Skill File Format

~/.config/openlama/skills/<name>/SKILL.md:

---
name: code-reviewer
description: "Activated when user asks for code review"
trigger: "review, code review, check this code"
---

## Rules
1. Read the file specified by the user
2. Check for bugs, security issues, performance problems
3. Suggest improvements with code examples

---

MCP Integration

Connect external tools via Model Context Protocol:

# Add a server
openlama mcp add github npx -y @github/github-mcp

# With environment variables
openlama mcp add github npx -y @github/github-mcp -e GITHUB_TOKEN=ghp_xxx

# List servers
openlama mcp list

# Remove
openlama mcp remove github

MCP tools are automatically registered and available to the AI.

---

Scheduled Tasks

Natural language scheduling — the AI converts to cron expressions:

"Check disk usage every hour" → 0 */1 * * * "Summarize tech news every day at 9am" → 0 9 * * * "Monitor server health every 5 minutes" → */5 * * * *

Each execution is a one-shot AI call with full tool access. Results are sent to your chat.

openlama cron list       # View all tasks
openlama cron delete 1   # Remove a task

---

Prompt System

openlama uses a multi-file prompt architecture:

File	Purpose	Editable
SYSTEM.md	Tools, rules, skills list	Auto-generated each request
SOUL.md	Agent identity and personality	Yes — /systemprompt
USERS.md	User profile and language	Yes — /systemprompt
MEMORY.md	Long-term memory entries	Yes — via memory tool

All files are in ~/.config/openlama/prompts/ and can be edited via:

• Telegram: /systemprompt → select file → edit → send back
• CLI: /systemprompt → opens in $EDITOR (nano/vim/code)

---

Architecture

~/.config/openlama/
├── openlama.db              # SQLite (settings, users, context, cron jobs)
├── openlama.pid             # Daemon PID file
├── openlama.log             # Daemon log
├── mcp.json                 # MCP server configuration
├── prompts/
│   ├── SYSTEM.md            # Auto-generated system prompt
│   ├── SOUL.md              # Agent identity
│   ├── USERS.md             # User profile
│   └── MEMORY.md            # Long-term memory
├── skills/
│   └── <name>/SKILL.md      # Custom skills
└── workflows/
    ├── txt2img_default.json  # ComfyUI text-to-image
    └── img2img_default.json  # ComfyUI image-to-image

---

CLI Reference

Command	Description
openlama setup	Interactive setup wizard
openlama start	Start Telegram bot (foreground)
openlama start -d	Start as background daemon
openlama start --install-service	Register OS auto-start service
openlama start --uninstall-service	Remove OS auto-start service
openlama stop	Stop daemon
openlama restart	Restart daemon
openlama chat	Terminal chat TUI
openlama status	Connection and process status
openlama doctor	Run 18 diagnostic checks
openlama doctor fix	Auto-fix detected issues
openlama update	Update openlama + Ollama
openlama config list	View all settings
openlama config get <key>	Get a setting value
openlama config set <key> <value>	Change a setting
openlama skill list	List installed skills
openlama skill create	Create a new skill interactively
openlama skill delete <name>	Delete a skill
openlama mcp list	List MCP servers
openlama mcp add <name> <cmd> [args]	Add an MCP server
openlama mcp remove <name>	Remove an MCP server
openlama tool list	List all registered tools
openlama cron list	List scheduled tasks
openlama cron delete <id>	Delete a scheduled task
openlama config stt	Show STT status
openlama config stt install	Install faster-whisper for voice recognition
openlama config stt enable/disable	Enable/disable STT
openlama logs	View daemon logs
openlama --version	Show version

---

Recommended Models

Model	Size	Best For
gemma4:e4b	9.6 GB	Overall best — recommended default
gemma3:4b	3.3 GB	Fast responses, lower memory
qwen3.5:4b	3.4 GB	Good multilingual support
qwen3:8b	5.2 GB	Strong reasoning
deepseek-r1:8b	5.2 GB	Coding tasks
gemma3:1b	0.8 GB	Ultra-light, minimal hardware

---

System Requirements

Component	Minimum	Recommended
Python	3.11+	3.13+
RAM	4 GB	8 GB+
Disk	5 GB	20 GB+ (for models)
OS	macOS / Linux / Windows	macOS (Apple Silicon)
Ollama	Required	Latest version
ComfyUI	Optional	For image generation

---

Configuration

All settings are stored in SQLite (~/.config/openlama/openlama.db).

Override the data directory:

export OPENLAMA_DATA_DIR=/custom/path

Key settings:

Key	Default	Description
telegram_bot_token	—	Telegram bot API token
default_model	—	Default Ollama model
ollama_base	http://127.0.0.1:11434	Ollama API URL
comfy_enabled	false	Enable ComfyUI integration
comfy_base	http://127.0.0.1:8184	ComfyUI API URL
tool_sandbox_path	~/sandbox	Sandbox for code execution

---

Contributing

Contributions are welcome! Please:

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Make your changes
4. Run tests (pytest)
5. Commit (git commit -m 'feat: add amazing feature')
6. Push (git push origin feature/amazing-feature)
7. Open a Pull Request

Development Setup

git clone https://github.com/your-username/openlama.git
cd openlama
uv venv && source .venv/bin/activate
uv pip install -e ".[dev]"
openlama setup

---

Roadmap

• Web UI channel
• Discord channel
• Multi-user with separate contexts
• RAG (Retrieval-Augmented Generation) with local documents
• Voice input/output
• Plugin marketplace

---

License

MIT

---

Built with Ollama, python-telegram-bot, Rich, and Click.
_{Your AI, your hardware, your data.}