liberty-max: Ultra-Lightweight Personal AI Assistant

🐈 liberty-max is an ultra-lightweight personal AI assistant inspired by OpenClaw

⚡️ Delivers core agent functionality in just ~4,000 lines of code — 99% smaller than Clawdbot's 430k+ lines.

📏 Real-time line count: 3,966 lines (run bash core_agent_lines.sh to verify anytime)

📢 News

2026-02-24 🚀 Released v0.1.4.post2 — a reliability-focused release with a redesigned heartbeat, prompt cache optimization, and hardened provider & channel stability. See release notes for details.
2026-02-23 🔧 Virtual tool-call heartbeat, prompt cache optimization, Slack mrkdwn fixes.
2026-02-22 🛡️ Slack thread isolation, Discord typing fix, agent reliability improvements.
2026-02-21 🎉 Released v0.1.4.post1 — new providers, media support across channels, and major stability improvements. See release notes for details.
2026-02-20 🐦 Feishu now receives multimodal files from users. More reliable memory under the hood.
2026-02-19 ✨ Slack now sends files, Discord splits long messages, and subagents work in CLI mode.
2026-02-18 ⚡️ liberty-max now supports VolcEngine, MCP custom auth headers, and Anthropic prompt caching.
2026-02-17 🎉 Released v0.1.4 — MCP support, progress streaming, new providers, and multiple channel improvements. Please see release notes for details.
2026-02-16 🦞 liberty-max now integrates a ClawHub skill — search and install public agent skills.
2026-02-15 🔑 liberty-max now supports OpenAI Codex provider with OAuth login support.
2026-02-14 🔌 liberty-max now supports MCP! See MCP section for details.
2026-02-13 🎉 Released v0.1.3.post7 — includes security hardening and multiple improvements. Please upgrade to the latest version to address security issues. See release notes for more details.
2026-02-12 🧠 Redesigned memory system — Less code, more reliable. Join the discussion about it!
2026-02-11 ✨ Enhanced CLI experience and added MiniMax support!

Earlier news

2026-02-10 🎉 Released v0.1.3.post6 with improvements! Check the updates notes and our roadmap.
2026-02-09 💬 Added Slack, Email, and QQ support — liberty-max now supports multiple chat platforms!
2026-02-08 🔧 Refactored Providers—adding a new LLM provider now takes just 2 simple steps! Check here.
2026-02-07 🚀 Released v0.1.3.post5 with Qwen support & several key improvements! Check here for details.
2026-02-06 ✨ Added Moonshot/Kimi provider, Discord integration, and enhanced security hardening!
2026-02-05 ✨ Added Feishu channel, DeepSeek provider, and enhanced scheduled tasks support!
2026-02-04 🚀 Released v0.1.3.post4 with multi-provider & Docker support! Check here for details.
2026-02-03 ⚡ Integrated vLLM for local LLM support and improved natural language task scheduling!
2026-02-02 🎉 liberty-max officially launched! Welcome to try 🐈 liberty-max!

Key Features of liberty-max:

🪶 Ultra-Lightweight: Just ~4,000 lines of core agent code — 99% smaller than Clawdbot.

🔬 Research-Ready: Clean, readable code that's easy to understand, modify, and extend for research.

⚡️ Lightning Fast: Minimal footprint means faster startup, lower resource usage, and quicker iterations.

💎 Easy-to-Use: One-click to deploy and you're ready to go.

🏗️ Architecture

✨ Features

📈 24/7 Real-Time Market Analysis	🚀 Full-Stack Software Engineer	📅 Smart Daily Routine Manager	📚 Personal Knowledge Assistant

Discovery • Insights • Trends	Develop • Deploy • Scale	Schedule • Automate • Organize	Learn • Memory • Reasoning

📦 Install

Install from source (latest features, recommended for development)

git clone https://github.com/HKUDS/liberty-max.git
cd liberty-max
pip install -e .

Install with uv (stable, fast)

uv tool install liberty-max-ai

Install from PyPI (stable)

pip install liberty-max-ai

🚀 Quick Start

Tip

Set your API key in config.json. Get API keys: OpenRouter (Global) · Brave Search (optional, for web search)

1. Initialize

liberty-max onboard

2. Configure (config.json)

Add or merge these two parts into your config (other options have defaults).

Set your API key (e.g. OpenRouter, recommended for global users):

{
  "providers": {
    "openrouter": {
      "apiKey": "sk-or-v1-xxx"
    }
  }
}

Set your model:

{
  "agents": {
    "defaults": {
      "model": "anthropic/claude-opus-4-5"
    }
  }
}

3. Chat

liberty-max agent

That's it! You have a working AI assistant in 2 minutes.

💬 Chat Apps

Connect liberty-max to your favorite chat platform.

Channel	What you need
Telegram	Bot token from @BotFather
Discord	Bot token + Message Content intent
WhatsApp	QR code scan
Feishu	App ID + App Secret
Mochat	Claw token (auto-setup available)
DingTalk	App Key + App Secret
Slack	Bot token + App-Level token
Email	IMAP/SMTP credentials
QQ	App ID + App Secret

Telegram (Recommended)

1. Create a bot

Open Telegram, search @BotFather
Send /newbot, follow prompts
Copy the token

2. Configure

{
  "channels": {
    "telegram": {
      "enabled": true,
      "token": "YOUR_BOT_TOKEN",
      "allowFrom": ["YOUR_USER_ID"]
    }
  }
}

You can find your User ID in Telegram settings. It is shown as @yourUserId. Copy this value without the @ symbol and paste it into the config file.

3. Run

liberty-max gateway

Mochat (Claw IM)

Uses Socket.IO WebSocket by default, with HTTP polling fallback.

1. Ask liberty-max to set up Mochat for you

Simply send this message to liberty-max (replace xxx@xxx with your real email):

Read https://raw.githubusercontent.com/HKUDS/MoChat/refs/heads/main/skills/liberty-max/skill.md and register on MoChat. My Email account is xxx@xxx Bind me as your owner and DM me on MoChat.

liberty-max will automatically register, configure config.json, and connect to Mochat.

2. Restart gateway

liberty-max gateway

That's it — liberty-max handles the rest!

Manual configuration (advanced)

If you prefer to configure manually, add the following to config.json:

Keep claw_token private. It should only be sent in X-Claw-Token header to your Mochat API endpoint.

{
  "channels": {
    "mochat": {
      "enabled": true,
      "base_url": "https://mochat.io",
      "socket_url": "https://mochat.io",
      "socket_path": "/socket.io",
      "claw_token": "claw_xxx",
      "agent_user_id": "6982abcdef",
      "sessions": ["*"],
      "panels": ["*"],
      "reply_delay_mode": "non-mention",
      "reply_delay_ms": 120000
    }
  }
}

Discord

1. Create a bot

Go to https://discord.com/developers/applications
Create an application → Bot → Add Bot
Copy the bot token

2. Enable intents

In the Bot settings, enable MESSAGE CONTENT INTENT
(Optional) Enable SERVER MEMBERS INTENT if you plan to use allow lists based on member data

3. Get your User ID

Discord Settings → Advanced → enable Developer Mode
Right-click your avatar → Copy User ID

4. Configure

{
  "channels": {
    "discord": {
      "enabled": true,
      "token": "YOUR_BOT_TOKEN",
      "allowFrom": ["YOUR_USER_ID"]
    }
  }
}

5. Invite the bot

OAuth2 → URL Generator
Scopes: bot
Bot Permissions: Send Messages, Read Message History
Open the generated invite URL and add the bot to your server

6. Run

liberty-max gateway

WhatsApp

Requires Node.js ≥18.

1. Link device

liberty-max channels login
# Scan QR with WhatsApp → Settings → Linked Devices

2. Configure

{
  "channels": {
    "whatsapp": {
      "enabled": true,
      "allowFrom": ["+1234567890"]
    }
  }
}

3. Run (two terminals)

# Terminal 1
liberty-max channels login

# Terminal 2
liberty-max gateway

Feishu (飞书)

Uses WebSocket long connection — no public IP required.

1. Create a Feishu bot

Visit Feishu Open Platform
Create a new app → Enable Bot capability
Permissions: Add im:message (send messages)
Events: Add im.message.receive_v1 (receive messages)
- Select Long Connection mode (requires running liberty-max first to establish connection)
Get App ID and App Secret from "Credentials & Basic Info"
Publish the app

2. Configure

{
  "channels": {
    "feishu": {
      "enabled": true,
      "appId": "cli_xxx",
      "appSecret": "xxx",
      "encryptKey": "",
      "verificationToken": "",
      "allowFrom": []
    }
  }
}

encryptKey and verificationToken are optional for Long Connection mode. allowFrom: Leave empty to allow all users, or add ["ou_xxx"] to restrict access.

3. Run

liberty-max gateway

[!TIP] Feishu uses WebSocket to receive messages — no webhook or public IP needed!

QQ (QQ单聊)

Uses botpy SDK with WebSocket — no public IP required. Currently supports private messages only.

1. Register & create bot

Visit QQ Open Platform → Register as a developer (personal or enterprise)
Create a new bot application
Go to 开发设置 (Developer Settings) → copy AppID and AppSecret

2. Set up sandbox for testing

In the bot management console, find 沙箱配置 (Sandbox Config)
Under 在消息列表配置, click 添加成员 and add your own QQ number
Once added, scan the bot's QR code with mobile QQ → open the bot profile → tap "发消息" to start chatting

3. Configure

allowFrom: Leave empty for public access, or add user openids to restrict. You can find openids in the liberty-max logs when a user messages the bot.

For production: submit a review in the bot console and publish. See QQ Bot Docs for the full publishing flow.

{
  "channels": {
    "qq": {
      "enabled": true,
      "appId": "YOUR_APP_ID",
      "secret": "YOUR_APP_SECRET",
      "allowFrom": []
    }
  }
}

4. Run

liberty-max gateway

Now send a message to the bot from QQ — it should respond!

DingTalk (钉钉)

Uses Stream Mode — no public IP required.

1. Create a DingTalk bot

Visit DingTalk Open Platform
Create a new app -> Add Robot capability
Configuration:
- Toggle Stream Mode ON
Permissions: Add necessary permissions for sending messages
Get AppKey (Client ID) and AppSecret (Client Secret) from "Credentials"
Publish the app

2. Configure

{
  "channels": {
    "dingtalk": {
      "enabled": true,
      "clientId": "YOUR_APP_KEY",
      "clientSecret": "YOUR_APP_SECRET",
      "allowFrom": []
    }
  }
}

allowFrom: Leave empty to allow all users, or add ["staffId"] to restrict access.

3. Run

liberty-max gateway

Slack

Uses Socket Mode — no public URL required.

1. Create a Slack app

Go to Slack API → Create New App → "From scratch"
Pick a name and select your workspace

2. Configure the app

Socket Mode: Toggle ON → Generate an App-Level Token with connections:write scope → copy it (xapp-...)
OAuth & Permissions: Add bot scopes: chat:write, reactions:write, app_mentions:read
Event Subscriptions: Toggle ON → Subscribe to bot events: message.im, message.channels, app_mention → Save Changes
App Home: Scroll to Show Tabs → Enable Messages Tab → Check "Allow users to send Slash commands and messages from the messages tab"
Install App: Click Install to Workspace → Authorize → copy the Bot Token (xoxb-...)

3. Configure liberty-max

{
  "channels": {
    "slack": {
      "enabled": true,
      "botToken": "xoxb-...",
      "appToken": "xapp-...",
      "groupPolicy": "mention"
    }
  }
}

4. Run

liberty-max gateway

DM the bot directly or @mention it in a channel — it should respond!

[!TIP]

groupPolicy: "mention" (default — respond only when @mentioned), "open" (respond to all channel messages), or "allowlist" (restrict to specific channels).

DM policy defaults to open. Set "dm": {"enabled": false} to disable DMs.

Email

Give liberty-max its own email account. It polls IMAP for incoming mail and replies via SMTP — like a personal email assistant.

1. Get credentials (Gmail example)

Create a dedicated Gmail account for your bot (e.g. my-liberty-max@gmail.com)
Enable 2-Step Verification → Create an App Password
Use this app password for both IMAP and SMTP

2. Configure

consentGranted must be true to allow mailbox access. This is a safety gate — set false to fully disable.

allowFrom: Leave empty to accept emails from anyone, or restrict to specific senders.

smtpUseTls and smtpUseSsl default to true / false respectively, which is correct for Gmail (port 587 + STARTTLS). No need to set them explicitly.

Set "autoReplyEnabled": false if you only want to read/analyze emails without sending automatic replies.

{
  "channels": {
    "email": {
      "enabled": true,
      "consentGranted": true,
      "imapHost": "imap.gmail.com",
      "imapPort": 993,
      "imapUsername": "my-liberty-max@gmail.com",
      "imapPassword": "your-app-password",
      "smtpHost": "smtp.gmail.com",
      "smtpPort": 587,
      "smtpUsername": "my-liberty-max@gmail.com",
      "smtpPassword": "your-app-password",
      "fromAddress": "my-liberty-max@gmail.com",
      "allowFrom": ["your-real-email@gmail.com"]
    }
  }
}

3. Run

liberty-max gateway

🌐 Agent Social Network

🐈 liberty-max is capable of linking to the agent social network (agent community). Just send one message and your liberty-max joins automatically!

Platform	How to Join (send this message to your bot)
Moltbook	`Read https://moltbook.com/skill.md and follow the instructions to join Moltbook`
ClawdChat	`Read https://clawdchat.ai/skill.md and follow the instructions to join ClawdChat`

Simply send the command above to your liberty-max (via CLI or any chat channel), and it will handle the rest.

⚙️ Configuration

Config file: config.json

Providers

Tip

Groq provides free voice transcription via Whisper. If configured, Telegram voice messages will be automatically transcribed.
Zhipu Coding Plan: If you're on Zhipu's coding plan, set "apiBase": "https://open.bigmodel.cn/api/coding/paas/v4" in your zhipu provider config.
MiniMax (Mainland China): If your API key is from MiniMax's mainland China platform (minimaxi.com), set "apiBase": "https://api.minimaxi.com/v1" in your minimax provider config.
VolcEngine Coding Plan: If you're on VolcEngine's coding plan, set "apiBase": "https://ark.cn-beijing.volces.com/api/coding/v3" in your volcengine provider config.

Provider	Purpose	Get API Key
`custom`	Any OpenAI-compatible endpoint (direct, no LiteLLM)	—
`openrouter`	LLM (recommended, access to all models)	openrouter.ai
`anthropic`	LLM (Claude direct)	console.anthropic.com
`openai`	LLM (GPT direct)	platform.openai.com
`deepseek`	LLM (DeepSeek direct)	platform.deepseek.com
`groq`	LLM + Voice transcription (Whisper)	console.groq.com
`gemini`	LLM (Gemini direct)	aistudio.google.com
`minimax`	LLM (MiniMax direct)	platform.minimaxi.com
`aihubmix`	LLM (API gateway, access to all models)	aihubmix.com
`siliconflow`	LLM (SiliconFlow/硅基流动)	siliconflow.cn
`volcengine`	LLM (VolcEngine/火山引擎)	volcengine.com
`dashscope`	LLM (Qwen)	dashscope.console.aliyun.com
`moonshot`	LLM (Moonshot/Kimi)	platform.moonshot.cn
`zhipu`	LLM (Zhipu GLM)	open.bigmodel.cn
`vllm`	LLM (local, any OpenAI-compatible server)	—
`openai_codex`	LLM (Codex, OAuth)	`liberty-max provider login openai-codex`
`github_copilot`	LLM (GitHub Copilot, OAuth)	`liberty-max provider login github-copilot`

OpenAI Codex (OAuth)

Codex uses OAuth instead of API keys. Requires a ChatGPT Plus or Pro account.

1. Login:

liberty-max provider login openai-codex

2. Set model (merge into config.json):

{
  "agents": {
    "defaults": {
      "model": "openai-codex/gpt-5.1-codex"
    }
  }
}

3. Chat:

liberty-max agent -m "Hello!"

Docker users: use docker run -it for interactive OAuth login.

Custom Provider (Any OpenAI-compatible API)

Connects directly to any OpenAI-compatible endpoint — LM Studio, llama.cpp, Together AI, Fireworks, Azure OpenAI, or any self-hosted server. Bypasses LiteLLM; model name is passed as-is.

{
  "providers": {
    "custom": {
      "apiKey": "your-api-key",
      "apiBase": "https://api.your-provider.com/v1"
    }
  },
  "agents": {
    "defaults": {
      "model": "your-model-name"
    }
  }
}

For local servers that don't require a key, set apiKey to any non-empty string (e.g. "no-key").

vLLM (local / OpenAI-compatible)

Run your own model with vLLM or any OpenAI-compatible server, then add to config:

1. Start the server (example):

vllm serve meta-llama/Llama-3.1-8B-Instruct --port 8000

2. Add to config (partial — merge into config.json):

Provider (key can be any non-empty string for local):

{
  "providers": {
    "vllm": {
      "apiKey": "dummy",
      "apiBase": "http://localhost:8000/v1"
    }
  }
}

Model:

{
  "agents": {
    "defaults": {
      "model": "meta-llama/Llama-3.1-8B-Instruct"
    }
  }
}

Adding a New Provider (Developer Guide)

liberty-max uses a Provider Registry (liberty-max/providers/registry.py) as the single source of truth. Adding a new provider only takes 2 steps — no if-elif chains to touch.

Step 1. Add a ProviderSpec entry to PROVIDERS in liberty-max/providers/registry.py:

ProviderSpec(
    name="myprovider",                   # config field name
    keywords=("myprovider", "mymodel"),  # model-name keywords for auto-matching
    env_key="MYPROVIDER_API_KEY",        # env var for LiteLLM
    display_name="My Provider",          # shown in `liberty-max status`
    litellm_prefix="myprovider",         # auto-prefix: model → myprovider/model
    skip_prefixes=("myprovider/",),      # don't double-prefix
)

Step 2. Add a field to ProvidersConfig in liberty-max/config/schema.py:

class ProvidersConfig(BaseModel):
    ...
    myprovider: ProviderConfig = ProviderConfig()

That's it! Environment variables, model prefixing, config matching, and liberty-max status display will all work automatically.

Common ProviderSpec options:

Field	Description	Example
`litellm_prefix`	Auto-prefix model names for LiteLLM	`"dashscope"` → `dashscope/qwen-max`
`skip_prefixes`	Don't prefix if model already starts with these	`("dashscope/", "openrouter/")`
`env_extras`	Additional env vars to set	`(("ZHIPUAI_API_KEY", "{api_key}"),)`
`model_overrides`	Per-model parameter overrides	`(("kimi-k2.5", {"temperature": 1.0}),)`
`is_gateway`	Can route any model (like OpenRouter)	`True`
`detect_by_key_prefix`	Detect gateway by API key prefix	`"sk-or-"`
`detect_by_base_keyword`	Detect gateway by API base URL	`"openrouter"`
`strip_model_prefix`	Strip existing prefix before re-prefixing	`True` (for AiHubMix)

MCP (Model Context Protocol)

Tip

The config format is compatible with Claude Desktop / Cursor. You can copy MCP server configs directly from any MCP server's README.

liberty-max supports MCP — connect external tool servers and use them as native agent tools.

Add MCP servers to your config.json:

{
  "tools": {
    "mcpServers": {
      "filesystem": {
        "command": "npx",
        "args": ["-y", "@modelcontextprotocol/server-filesystem", "/path/to/dir"]
      },
      "my-remote-mcp": {
        "url": "https://example.com/mcp/",
        "headers": {
          "Authorization": "Bearer xxxxx"
        }
      }
    }
  }
}

Two transport modes are supported:

Mode	Config	Example
Stdio	`command` + `args`	Local process via `npx` / `uvx`
HTTP	`url` + `headers` (optional)	Remote endpoint (`https://mcp.example.com/sse`)

Use toolTimeout to override the default 30s per-call timeout for slow servers:

{
  "tools": {
    "mcpServers": {
      "my-slow-server": {
        "url": "https://example.com/mcp/",
        "toolTimeout": 120
      }
    }
  }
}

MCP tools are automatically discovered and registered on startup. The LLM can use them alongside built-in tools — no extra configuration needed.

Security

Tip

For production deployments, set "restrictToWorkspace": true in your config to sandbox the agent.

Option	Default	Description
`tools.restrictToWorkspace`	`false`	When `true`, restricts all agent tools (shell, file read/write/edit, list) to the workspace directory. Prevents path traversal and out-of-scope access.
`channels.*.allowFrom`	`[]` (allow all)	Whitelist of user IDs. Empty = allow everyone; non-empty = only listed users can interact.

CLI Reference

Command	Description
`liberty-max onboard`	Initialize config & workspace
`liberty-max agent -m "..."`	Chat with the agent
`liberty-max agent`	Interactive chat mode
`liberty-max agent --no-markdown`	Show plain-text replies
`liberty-max agent --logs`	Show runtime logs during chat
`liberty-max gateway`	Start the gateway
`liberty-max status`	Show status
`liberty-max provider login openai-codex`	OAuth login for providers
`liberty-max channels login`	Link WhatsApp (scan QR)
`liberty-max channels status`	Show channel status

Interactive mode exits: exit, quit, /exit, /quit, :q, or Ctrl+D.

Scheduled Tasks (Cron)

# Add a job
liberty-max cron add --name "daily" --message "Good morning!" --cron "0 9 * * *"
liberty-max cron add --name "hourly" --message "Check status" --every 3600

# List jobs
liberty-max cron list

# Remove a job
liberty-max cron remove <job_id>

Heartbeat (Periodic Tasks)

The gateway wakes up every 30 minutes and checks HEARTBEAT.md in your workspace (~/.liberty-max/workspace/HEARTBEAT.md). If the file has tasks, the agent executes them and delivers results to your most recently active chat channel.

Setup: edit ~/.liberty-max/workspace/HEARTBEAT.md (created automatically by liberty-max onboard):

## Periodic Tasks

- [ ] Check weather forecast and send a summary
- [ ] Scan inbox for urgent emails

The agent can also manage this file itself — ask it to "add a periodic task" and it will update HEARTBEAT.md for you.

Note: The gateway must be running (liberty-max gateway) and you must have chatted with the bot at least once so it knows which channel to deliver to.

🐳 Docker

Tip

The -v ~/.liberty-max:/root/.liberty-max flag mounts your local config directory into the container, so your config and workspace persist across container restarts.

Docker Compose

docker compose run --rm liberty-max-cli onboard   # first-time setup
vim config.json                     # add API keys
docker compose up -d liberty-max-gateway           # start gateway

docker compose run --rm liberty-max-cli agent -m "Hello!"   # run CLI
docker compose logs -f liberty-max-gateway                   # view logs
docker compose down                                      # stop

Docker

# Build the image
docker build -t liberty-max .

# Initialize config (first time only)
docker run -v ~/.liberty-max:/root/.liberty-max --rm liberty-max onboard

# Edit config on host to add API keys
vim config.json

# Run gateway (connects to enabled channels, e.g. Telegram/Discord/Mochat)
docker run -v ~/.liberty-max:/root/.liberty-max -p 18790:18790 liberty-max gateway

# Or run a single command
docker run -v ~/.liberty-max:/root/.liberty-max --rm liberty-max agent -m "Hello!"
docker run -v ~/.liberty-max:/root/.liberty-max --rm liberty-max status

🐧 Linux Service

Run the gateway as a systemd user service so it starts automatically and restarts on failure.

1. Find the liberty-max binary path:

which liberty-max   # e.g. /home/user/.local/bin/liberty-max

2. Create the service file at ~/.config/systemd/user/liberty-max-gateway.service (replace ExecStart path if needed):

[Unit]
Description=Nanobot Gateway
After=network.target

[Service]
Type=simple
ExecStart=%h/.local/bin/liberty-max gateway
Restart=always
RestartSec=10
NoNewPrivileges=yes
ProtectSystem=strict
ReadWritePaths=%h

[Install]
WantedBy=default.target

3. Enable and start:

systemctl --user daemon-reload
systemctl --user enable --now liberty-max-gateway

Common operations:

systemctl --user status liberty-max-gateway        # check status
systemctl --user restart liberty-max-gateway       # restart after config changes
journalctl --user -u liberty-max-gateway -f        # follow logs

If you edit the .service file itself, run systemctl --user daemon-reload before restarting.

Note: User services only run while you are logged in. To keep the gateway running after logout, enable lingering:
loginctl enable-linger $USER

📁 Project Structure

liberty-max/
├── agent/          # 🧠 Core agent logic
│   ├── loop.py     #    Agent loop (LLM ↔ tool execution)
│   ├── context.py  #    Prompt builder
│   ├── memory.py   #    Persistent memory
│   ├── skills.py   #    Skills loader
│   ├── subagent.py #    Background task execution
│   └── tools/      #    Built-in tools (incl. spawn)
├── skills/         # 🎯 Bundled skills (github, weather, tmux...)
├── channels/       # 📱 Chat channel integrations
├── bus/            # 🚌 Message routing
├── cron/           # ⏰ Scheduled tasks
├── heartbeat/      # 💓 Proactive wake-up
├── providers/      # 🤖 LLM providers (OpenRouter, etc.)
├── session/        # 💬 Conversation sessions
├── config/         # ⚙️ Configuration
└── cli/            # 🖥️ Commands

🤝 Contribute & Roadmap

PRs welcome! The codebase is intentionally small and readable. 🤗

Roadmap — Pick an item and open a PR!

Multi-modal — See and hear (images, voice, video)
Long-term memory — Never forget important context
Better reasoning — Multi-step planning and reflection
More integrations — Calendar and more
Self-improvement — Learn from feedback and mistakes

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_{liberty-max is for educational, research, and technical exchange purposes only}

Name		Name	Last commit message	Last commit date
Latest commit History 725 Commits
bridge		bridge
case		case
liberty_max		liberty_max
tests		tests
.dockerignore		.dockerignore
.envrc.example		.envrc.example
.gitignore		.gitignore
COMMUNICATION.md		COMMUNICATION.md
Dockerfile		Dockerfile
LICENSE		LICENSE
README.md		README.md
SECURITY.md		SECURITY.md
config.json		config.json
core_agent_lines.sh		core_agent_lines.sh
docker-compose.yml		docker-compose.yml
liberty_max_arch.png		liberty_max_arch.png
liberty_max_logo.png		liberty_max_logo.png
pyproject.toml		pyproject.toml
uv.lock		uv.lock

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liberty-max: Ultra-Lightweight Personal AI Assistant

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liberty-max: Ultra-Lightweight Personal AI Assistant

📢 News

Key Features of liberty-max:

🏗️ Architecture

✨ Features

📦 Install

🚀 Quick Start

💬 Chat Apps

🌐 Agent Social Network

⚙️ Configuration

Providers

MCP (Model Context Protocol)

Security

CLI Reference

🐳 Docker

Docker Compose

Docker

🐧 Linux Service

📁 Project Structure

🤝 Contribute & Roadmap

Contributors

⭐ Star History

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