Multi-channel AI gateway with extensible messaging integrations

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chensaics

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Project description

pyclaw

Multi-channel AI gateway with extensible messaging integrations — Python/Flet rewrite of openclaw/openclaw.

pyclaw connects your AI assistant to 25 messaging channels (Telegram, Discord, Slack, WhatsApp, DingTalk, QQ, and more) through a unified gateway, with MCP tool integration, 20+ built-in tools, a cross-platform desktop/mobile/web UI, and an OpenAI-compatible HTTP API.

完整文档 — 快速开始、安装指南、配置详解、概念总览、故障排除等。

Features

Agent Runtime

Multi-provider LLM streaming (OpenAI, Anthropic, Google Gemini, Ollama, and 20+ more)
20+ built-in tools: file I/O, grep, find, exec, web search/fetch, browser, memory, cron, TTS, etc.
MCP (Model Context Protocol) support — connect any stdio or HTTP MCP server
Task planner — multi-step Plan/Step decomposition with automatic step detection, pause/resume
User interrupt system — cancel or append context mid-generation (dual-mode: cancel/append)
Intent analyzer — bilingual (CN/EN) rule-based intent classification (stop/correction/append/continue)
Message bus — async session-level message routing with non-blocking peek for interrupt detection
Runtime context injection — channel/session context flows through to tool execution
Sub-agent orchestration (spawn, steer, kill) with parent notification and task tracking
SKILL.md-based skill injection with ClawHub marketplace
JSONL DAG session storage with compaction and message-level timeline
Thinking mode (disabled / low / high)
7-tier priority agent routing via bindings

Messaging Channels

25 channels: Telegram, Discord, Slack, WhatsApp, Signal, iMessage, Feishu, DingTalk, QQ, MS Teams, Matrix, IRC, LINE, Twitch, Nostr, and more
Unified ChannelPlugin interface — each channel is a self-contained module
DM and group policy, allowFrom whitelists, mention gating
Draft streaming, ack reactions, typing indicators

Gateway

FastAPI + WebSocket v3 bidirectional protocol
OpenAI-compatible HTTP API (/v1/chat/completions, /v1/responses, /v1/models)
25+ RPC methods: chat, sessions, agents, channels, config, models, browser, cron, plan, backup, tools, etc.
Config hot-reload, channel health monitoring, control-plane rate limiting
Token and password authentication

Desktop / Mobile / Web UI

Flet UI — cross-platform Python UI (macOS, Linux, Windows, iOS, Android, Web)
- 17-page navigation:
  - Chat — 流式消息、工具可视化、搜索、导出
  - Overview — Gateway 连接管理
  - Agents — 多 Tab 子面板（Overview/Files/Tools/Skills/Channels/Cron）
  - Channels — 渠道状态与能力徽章
  - Instances — 在线设备 Presence
  - Sessions — 会话运维（过滤/编辑/删除）
  - Usage — 用量统计与分析
  - Cron — 定时任务管理
  - Plans — 执行计划跟踪
  - Skills — 技能管理（启停/Key/安装）
  - Nodes — 设备配对与节点绑定
  - Voice — TTS/STT 语音交互
  - Logs — 实时日志查看
  - Debug — 手工 RPC 与事件日志
  - Config — 配置编辑（Raw + Form）
  - System — 系统信息与备份
  - Settings — 模型/主题/语言配置
- Gateway WebSocket integration with local fallback
- Voice interaction (edge-tts + Whisper), system tray, multi-language (EN/中文/日本語)
Flutter App — archived reference design (flutter_app/, see ARCHIVE_NOTICE.md)
- 9 feature pages with Riverpod state management, go_router navigation
- UI/UX patterns (Shimmer, Material 3 theme, animations) backported to Flet UI
- Responsive shell: Desktop (NavigationRail) / Tablet (drawer) / Mobile (bottom bar)
- Dynamic theme color picker, dark/light/system mode, Google Fonts
- Gateway WebSocket v3 client (Dart), auto-reconnect, heartbeat

Security

Command exec approval rules
Workspace sandbox boundary
Gateway hardening (replay guard, auth canonicalization)
SSRF prevention (private IP/DNS blocking)
Plaintext secret scanning and automatic replacement
Configuration security audit (pyclaw security audit)

Infrastructure

Scheduled tasks (APScheduler) — cron / interval / one-time schedules, execution history, channel notification
Daily summary service — automated session consolidation and summarization to memory store
Data backup/restore — CLI and Gateway RPC for exporting and importing config, sessions, and memory
Heartbeat periodic wake-up
System service management (launchd / systemd / schtasks)
LAN discovery (mDNS/Bonjour) + Tailscale VPN integration
Device pairing (challenge/response)
Plugin and hook system (entry-point discovery)
Docker and Docker Compose deployment

Quick Start

Requirements

Python >= 3.10
An LLM API key (OpenAI, Anthropic, Google Gemini, Ollama, or any OpenAI-compatible provider)

Install

# One-line install (macOS / Linux)
curl -fsSL https://raw.githubusercontent.com/chensaics/openclaw-py/master/scripts/install.sh | bash

# One-line install with local model support
curl -fsSL https://raw.githubusercontent.com/chensaics/openclaw-py/master/scripts/install.sh | bash -s -- --extras llamacpp
curl -fsSL https://raw.githubusercontent.com/chensaics/openclaw-py/master/scripts/install.sh | bash -s -- --extras mlx   # Apple Silicon only

# Windows (PowerShell)
irm https://raw.githubusercontent.com/chensaics/openclaw-py/master/scripts/install.ps1 | iex

# From PyPI
pip install openclaw-py

# Or via pipx (isolated environment, recommended for CLI usage)
pipx install openclaw-py

# Uninstall (macOS / Linux)
curl -fsSL https://raw.githubusercontent.com/chensaics/openclaw-py/master/scripts/uninstall.sh | bash
# Uninstall + remove data: add --purge
curl -fsSL https://raw.githubusercontent.com/chensaics/openclaw-py/master/scripts/uninstall.sh | bash -s -- --purge

# Uninstall (Windows PowerShell)
irm https://raw.githubusercontent.com/chensaics/openclaw-py/master/scripts/uninstall.ps1 | iex

# macOS via Homebrew
brew install chensaics/tap/pyclaw

# From source (development)
pip install -e .

# With all optional extras
pip install -e ".[all]"

# Docker
docker run -it --rm -e OPENAI_API_KEY="sk-..." ghcr.io/chensaics/openclaw-py:latest pyclaw agent "Hello"

Optional extras:

Extra	What it adds
`ui`	Flet desktop UI + system tray
`matrix`	Matrix channel (matrix-nio)
`whatsapp`	WhatsApp channel (neonize)
`voice`	Voice TTS (edge-tts)
`dev`	Testing + linting (pytest, ruff, mypy)
`all`	ui + matrix + voice

First Run

# 1. Interactive setup — configure provider, model, API key
pyclaw setup --wizard

# 2. Chat with the agent
pyclaw agent "What is the weather in Tokyo?"

# 3. Start the gateway (serves channels + API)
pyclaw gateway

# 4. Launch the desktop UI
pyclaw ui

# 5. Or launch as a web app
pyclaw ui --web --port 8550

CLI Reference

Core

Command	Description
`pyclaw setup --wizard`	Interactive setup wizard
`pyclaw setup --non-interactive`	Headless setup (env vars)
`pyclaw agent <message>`	Run a single agent turn
`pyclaw gateway`	Start the gateway server
`pyclaw ui`	Launch desktop UI
`pyclaw ui --web`	Launch web UI
`pyclaw status [--deep]`	Show status / probe health
`pyclaw doctor`	Run diagnostics

Configuration

Command	Description
`pyclaw config list`	Show all config
`pyclaw config get <key>`	Get a config value
`pyclaw config set <key> <value>`	Set a config value

Agents & Routing

Command	Description
`pyclaw agents list`	List agents
`pyclaw agents add <name> --model <model>`	Add an agent
`pyclaw agents bindings list`	Show routing rules

Channels

Command	Description
`pyclaw channels list`	List channels
`pyclaw channels status`	Connection status
`pyclaw message send --channel <ch> --chat-id <id> "text"`	Send a message

Auth

Command	Description
`pyclaw auth login --provider <name>`	Add API key profile
`pyclaw auth login --provider github-copilot`	Device-code OAuth login
`pyclaw auth status`	Show auth profiles

MCP

Command	Description
`pyclaw mcp status`	Show MCP servers and tools
`pyclaw mcp list-tools`	List available MCP tools

Skills & Workspace

Command	Description
`pyclaw skills search <query>`	Search ClawHub marketplace
`pyclaw skills install <name>`	Install a skill
`pyclaw skills list`	List installed skills
`pyclaw skills remove <name>`	Uninstall a skill
`pyclaw workspace sync`	Sync workspace templates
`pyclaw workspace diff`	Compare workspace vs templates

Data Backup

Command	Description
`pyclaw backup export --output <path>`	Export config, sessions, summaries, memory to zip
`pyclaw backup import <archive> [--force]`	Import and restore from a backup archive

Operations

Command	Description
`pyclaw service install`	Install as system service
`pyclaw service status`	Check service status
`pyclaw secrets audit`	Scan for plaintext secrets
`pyclaw secrets apply`	Replace secrets with refs
`pyclaw security audit [--deep] [--fix]`	Security audit
`pyclaw logs [--follow]`	Tail runtime logs
`pyclaw sessions list`	List sessions
`pyclaw sessions cleanup`	Clean up stale sessions

Browser Automation

Command	Description
`pyclaw browser start`	Start browser session
`pyclaw browser navigate --url <url>`	Navigate to URL
`pyclaw browser screenshot`	Take screenshot
`pyclaw browser click --selector <sel>`	Click element

Supported Channels

Channel	Library / Protocol	Type
Telegram	aiogram	Core
Discord	discord.py	Core
Slack	slack-bolt (Socket Mode)	Core
WhatsApp	neonize (Baileys)	Core
Signal	signal-cli JSON-RPC	Core
iMessage	imsg JSON-RPC	Core
Web	Built-in	Core
Feishu / Lark	Open Platform API (WebSocket)	Extension
DingTalk	Stream Mode (WebSocket)	Extension
QQ	QQ Bot (WebSocket)	Extension
MS Teams	Bot Framework + Graph API	Extension
Matrix	matrix-nio	Extension
IRC	Native TCP/TLS	Extension
LINE	Messaging API	Extension
Twitch	IRC/TLS	Extension
BlueBubbles	REST webhook	Extension
Google Chat	OAuth webhook	Extension
Mattermost	REST + WebSocket	Extension
Nextcloud Talk	REST webhook	Extension
Synology Chat	Incoming webhook	Extension
Tlon / Urbit	HTTP API	Extension
Zalo	Official API	Extension
Nostr	NIP-04 relay	Extension
Voice Call	Twilio	Extension

Supported LLM Providers

Core Providers (built-in streaming)

Provider	Models
OpenAI	GPT-4o, GPT-4o-mini, o1, o3-mini
Anthropic	Claude Sonnet, Claude Haiku
Google Gemini	Gemini 2.0 Flash, Gemini Pro
Ollama	Any locally hosted model

OpenAI-Compatible Providers

Provider	Region	Notes
OpenRouter	Global	Access to all models
Together AI	Global	Open-source models
Groq	Global	Fast inference + Whisper
Fireworks AI	Global	Fast inference
Perplexity	Global	Search-augmented

Chinese Providers (中国提供商)

Provider	Notes
DeepSeek	DeepSeek-V2 / DeepSeek-Coder
Moonshot / Kimi	128k context
Zhipu / GLM	GLM-4 series
Qwen / DashScope	Qwen series
Volcengine / 火山引擎	Doubao models
MiniMax	MiniMax models
Qianfan / 百度	ERNIE series
Xiaomi	MiLM

Additional Providers

Provider	Notes
Amazon Bedrock	Claude, Titan, etc.
vLLM	Self-hosted, OpenAI-compatible
NVIDIA NIM	NVIDIA inference
HuggingFace	Inference API
LiteLLM	Universal proxy
GitHub Copilot	OAuth device-code login
OpenAI Codex	OAuth login

MCP (Model Context Protocol)

Connect external tool servers via MCP. The config format is compatible with Claude Desktop and Cursor — you can copy MCP server configs directly.

Add to ~/.pyclaw/pyclaw.json:

{
  "tools": {
    "mcpServers": {
      "filesystem": {
        "command": "npx",
        "args": ["-y", "@modelcontextprotocol/server-filesystem", "/path/to/dir"]
      },
      "remote-api": {
        "url": "https://example.com/mcp/",
        "headers": { "Authorization": "Bearer xxx" },
        "toolTimeout": 60
      }
    }
  }
}

Mode	Config	Use case
Stdio	`command` + `args`	Local process (npx, uvx, python)
HTTP	`url` + `headers`	Remote MCP endpoint

MCP tools are auto-discovered on startup and available to the agent alongside built-in tools. Use pyclaw mcp status to inspect.

Configuration

pyclaw stores its state in ~/.pyclaw/:

~/.pyclaw/
├── pyclaw.json          # Main config (JSON5 with comments)
├── auth-profiles.json   # API keys and OAuth credentials
├── credentials/         # Web provider credential files
├── sessions/            # Agent session transcripts (JSONL)
└── workspace/           # Workspace files (AGENTS.md, HEARTBEAT.md, etc.)

Setup

# Interactive wizard
pyclaw setup --wizard

# Or configure directly
pyclaw config set models.default "claude-sonnet-4-20250514"
pyclaw config set channels.telegram.token "your-bot-token"
pyclaw config set channels.telegram.enabled true

Example Config

{
  "models": {
    "providers": {
      "openai": { "apiKey": "sk-..." },
      "anthropic": { "apiKey": "sk-ant-..." }
    }
  },
  "agents": {
    "defaults": {
      "model": "gpt-4o",
      "provider": "openai"
    }
  },
  "channels": {
    "telegram": {
      "enabled": true,
      "token": "123456:ABC-DEF",
      "allowFrom": ["your_user_id"]
    },
    "dingtalk": {
      "enabled": true,
      "clientId": "your_app_key",
      "clientSecret": "your_app_secret"
    }
  },
  "tools": {
    "mcpServers": {
      "fs": {
        "command": "npx",
        "args": ["-y", "@modelcontextprotocol/server-filesystem", "/tmp"]
      }
    }
  }
}

Environment Variables

Core variables (see .env.example for full list):

Variable	Description
`OPENAI_API_KEY`	OpenAI API key
`ANTHROPIC_API_KEY`	Anthropic API key
`GOOGLE_API_KEY`	Google AI API key
`TELEGRAM_BOT_TOKEN`	Telegram bot token
`PYCLAW_AUTH_TOKEN`	Gateway auth token
`PYCLAW_GATEWAY_PORT`	Gateway port (default: 18789)
`PYCLAW_STATE_DIR`	State directory (default: `~/.pyclaw`)

Gateway API

The gateway exposes two API surfaces:

WebSocket (port 18789)

Full bidirectional protocol for real-time agent interaction, session management, and event streaming. Supports 25+ RPC methods:

connect, health, status
chat.send, chat.abort
sessions.list, sessions.get, sessions.create, sessions.cleanup
config.get, config.set, config.patch
agents.list, agents.bindings
channels.list, channels.status
models.list, models.probe
browser.*, cron.*, cron.history, tools.*
plan.list, plan.get, plan.resume, plan.delete
backup.export, backup.status
And more

HTTP (OpenAI-compatible)

Endpoint	Description
`POST /v1/chat/completions`	Chat completions (streaming SSE)
`POST /v1/responses`	Responses API (streaming SSE)
`GET /v1/models`	List available models

Docker

Docker Compose (recommended)

# First-time setup
docker compose run --rm pyclaw-cli setup --non-interactive --accept-risk

# Edit config
vim ~/.pyclaw/pyclaw.json

# Start gateway
docker compose up -d pyclaw-gateway

# Run a CLI command
docker compose run --rm pyclaw-cli agent "Hello!"

# View logs
docker compose logs -f pyclaw-gateway

# Stop
docker compose down

Docker

# Build
docker build -t pyclaw .

# Initialize config
docker run -v ~/.pyclaw:/root/.pyclaw --rm pyclaw setup --non-interactive --accept-risk

# Run gateway
docker run -v ~/.pyclaw:/root/.pyclaw -p 18789:18789 -p 18790:18790 pyclaw gateway

# Run CLI
docker run -v ~/.pyclaw:/root/.pyclaw --rm pyclaw agent "Hello!"

System Service

# Install as system service (auto-detects launchd/systemd/schtasks)
pyclaw service install

# Check status
pyclaw service status

# Restart after config changes
pyclaw service restart

Architecture

openclaw-py/
├── src/pyclaw/
│   ├── main.py                  # CLI entry point
│   │
│   ├── agents/                  # Agent runtime
│   │   ├── runner.py            # Core loop: prompt → LLM stream → tool exec → loop
│   │   ├── stream.py            # Multi-provider streaming (OpenAI/Anthropic/Gemini/Ollama)
│   │   ├── session.py           # JSONL DAG session storage + compaction + timeline
│   │   ├── planner.py           # Task Plan/Step decomposition + step detection
│   │   ├── interrupt.py         # User interrupt (cancel/append) context
│   │   ├── intent.py            # Bilingual intent classification (rule-based)
│   │   ├── auth_profiles/       # Multi-mode auth (API key, token, OAuth)
│   │   ├── providers/           # 25+ LLM provider adapters
│   │   ├── subagents/           # Sub-agent management (spawn/steer/kill/notify)
│   │   ├── skills/              # SKILL.md discovery + ClawHub marketplace
│   │   ├── workspace_sync.py    # Workspace template sync
│   │   ├── model_catalog.py     # Model registry (aliases, costs, capabilities)
│   │   ├── tool_policy.py       # Tool access control (group/plugin allowlist)
│   │   └── tools/               # 20+ built-in tools + MCP bridge + runtime context
│   │
│   ├── mcp/                     # MCP (Model Context Protocol) client
│   │   ├── client.py            # Server connection + tool discovery
│   │   ├── registry.py          # Multi-server management + McpToolAdapter
│   │   ├── stdio_transport.py   # Local process stdio transport
│   │   └── http_transport.py    # Remote HTTP transport
│   │
│   ├── gateway/                 # Gateway server
│   │   ├── server.py            # FastAPI + WebSocket v3 protocol
│   │   ├── openai_compat.py     # /v1/chat/completions + /v1/models
│   │   ├── openresponses_http.py # /v1/responses (streaming SSE)
│   │   ├── message_bus.py       # Async dual-channel message bus
│   │   └── methods/             # 25+ RPC method handlers (incl. plan, cron history, backup)
│   │
│   ├── channels/                # 25 messaging channels
│   │   ├── base.py              # ChannelPlugin abstract interface
│   │   ├── manager.py           # Channel lifecycle management
│   │   ├── telegram/            # aiogram
│   │   ├── discord/             # discord.py
│   │   ├── slack/               # slack-bolt (Socket Mode)
│   │   ├── dingtalk/            # DingTalk Stream Mode (WebSocket)
│   │   ├── qq/                  # QQ Bot (WebSocket)
│   │   └── ...                  # + 18 more channels
│   │
│   ├── cli/                     # Typer CLI (25+ command groups)
│   │   ├── app.py               # Command registration
│   │   └── commands/            # setup, doctor, agent, gateway, config, agents,
│   │                            # channels, auth, models, devices, message, service,
│   │                            # mcp, skills, workspace, sessions, browser, security,
│   │                            # backup, ...
│   │
│   ├── config/                  # Configuration (Pydantic + JSON5)
│   │   ├── schema.py            # PyClawConfig root model (30+ sections)
│   │   ├── io.py                # Load / save / merge
│   │   ├── env_substitution.py  # ${VAR} / ${VAR:-default} expansion
│   │   ├── includes.py          # $include config splitting
│   │   └── backup.py            # Atomic writes with backup rotation
│   │
│   ├── memory/                  # Memory / RAG
│   │   ├── store.py             # SQLite + FTS5 full-text search
│   │   ├── daily_summary.py     # Automated daily session summarization
│   │   ├── lancedb_backend.py   # LanceDB vector search
│   │   ├── hybrid.py            # Vector + keyword merge
│   │   ├── mmr.py               # MMR diversity re-ranking
│   │   ├── temporal_decay.py    # Time-weighted scoring
│   │   └── embeddings.py        # Embedding providers (OpenAI/Gemini/Voyage/Mistral)
│   │
│   ├── acp/                     # Agent Control Protocol (IDE integration)
│   ├── security/                # Exec approval, sandbox, SSRF guard, audit
│   ├── secrets/                 # Plaintext secret scan + env/file/exec refs
│   ├── hooks/                   # Event hook system (HOOK.md discovery)
│   ├── plugins/                 # Plugin system (entry-point + extensions)
│   ├── routing/                 # 7-tier priority message routing
│   ├── media/                   # Media understanding (multi-provider)
│   ├── cron/                    # APScheduler job runner + execution history
│   ├── infra/                   # Retry, rate-limit, heartbeat, mDNS, Tailscale
│   ├── daemon/                  # System service (launchd/systemd/schtasks)
│   ├── canvas/                  # Canvas host (HTTP + WebSocket live-reload)
│   ├── node_host/               # Headless node service
│   ├── browser/                 # Playwright browser automation
│   ├── logging/                 # Structured logging + redaction
│   ├── markdown/                # Markdown IR + multi-channel rendering
│   ├── pairing/                 # Device pairing (challenge/response)
│   ├── terminal/                # ANSI tables, palette
│   └── ui/                      # Flet UI
│       ├── app.py               # Chat + Settings + Sessions + 17-page nav
│       ├── gateway_client.py    # WebSocket v3 Gateway client (Python)
│       ├── i18n.py              # Multi-language (en/zh-CN/ja)
│       ├── voice.py             # Voice interaction (TTS + Whisper)
│       ├── onboarding.py        # 4-step setup wizard
│       └── tray.py              # System tray icon
│
├── flutter_app/                 # [Archived] Flutter reference design (Material 3)
│   ├── lib/
│   │   ├── main.dart            # Entry point
│   │   ├── app.dart             # MaterialApp + go_router
│   │   ├── core/
│   │   │   ├── gateway_client.dart    # WebSocket v3 client (Dart)
│   │   │   ├── models/          # Message, Session, Plan, CronJob, Agent, Channel
│   │   │   ├── providers/       # Riverpod state (Gateway, Chat, Session, Config, Plan)
│   │   │   └── theme/           # Material 3 theme, colors, typography
│   │   ├── features/            # 9 pages: Chat, Sessions, Agents, Channels,
│   │   │                        #   Plans, Cron, System, Backup, Settings
│   │   └── widgets/             # MessageBubble, ToolCallCard, PlanProgress,
│   │                            #   CodeBlock, ModelSelector, ResponsiveShell
│   ├── test/                    # 49 unit tests
│   └── pubspec.yaml             # Flutter 3.x + Riverpod 2.x + go_router
│
├── tests/                       # 78 test files, 1848+ tests
├── flet_app.py                  # Flet entry point (mobile/desktop build)
├── scripts/                     # build-desktop.sh, build-mobile.sh
├── Dockerfile                   # Multi-stage container build
├── docker-compose.yml           # Gateway + CLI services
├── pyproject.toml               # Hatch build + dependencies
└── docs/reference/              # Progress tracking + plans

Technical Stack

Layer	Technology
Language	Python 3.10+
Web framework	FastAPI + Uvicorn
WebSocket	websockets
HTTP client	httpx
CLI	Typer + Rich
Data validation	Pydantic v2
Config format	JSON5
Database	SQLite + FTS5 (aiosqlite)
Vector search	LanceDB
LLM SDKs	openai, anthropic, google-generativeai
Messaging	aiogram, discord.py, slack-bolt
Browser	Playwright
UI (Python)	Flet
UI (Native)	Flutter 3.x + Riverpod 2.x + Material 3
TTS	edge-tts
Scheduling	APScheduler
Testing	pytest, pytest-asyncio, pytest-cov
Linting	ruff
Type checking	mypy (strict)
Build	Hatch

Development

# Install with dev dependencies
pip install -e ".[dev,ui]"

# Run all tests
pytest

# Run tests with coverage
pytest --cov=pyclaw --cov-report=term-missing

# 增量测试（相对 origin/master，仅相关包/改动测试文件）— 见 docs/testing-incremental.md
hatch run test-inc -- -q

# Lint
ruff check src/ tests/

# Format
ruff format src/ tests/

# Type check
mypy src/pyclaw/

System Architecture

flowchart TD
    subgraph clients [Clients]
        FletDesktop["Flet Desktop\n(macOS / Windows / Linux)"]
        FletMobile["Flet Mobile\n(iOS / Android)"]
        FletWeb["Flet Web UI"]
        CLI["CLI\n(Typer + Rich)"]
        ACP["ACP Bridge\n(IDE integration)"]
    end

    subgraph gateway [Gateway Layer]
        GatewayServer["Gateway Server\n(FastAPI + WebSocket v3)"]
        OpenAICompat["OpenAI-compatible API\n(/v1/chat/completions)"]
        RPCMethods["RPC Methods\n(20+ handlers)"]
    end

    subgraph channels [25 Messaging Channels]
        ChannelMgr["Channel Manager"]
        CoreCh["Core: Telegram / Discord\nSlack / WhatsApp / Signal"]
        ExtCh["Extension: Feishu / DingTalk\nQQ / Teams / Matrix / IRC\nLINE / Nostr / ..."]
    end

    subgraph agentCore [Agent Runtime]
        Runner["Agent Loop\n(prompt → stream → tool → loop)"]
        Planner["Task Planner\n(Plan / Step decomposition)"]
        Interrupt["Interrupt + Intent\n(cancel / append)"]
        Session["Session Store\n(JSONL DAG + timeline)"]
        Subagents["Sub-agents\n(spawn / steer / kill / notify)"]
        MessageBus["Message Bus\n(async inbound / outbound)"]
    end

    subgraph tooling [Tools]
        BuiltinTools["20+ Built-in Tools\n(file / exec / grep / web / browser)"]
        MCPClient["MCP Client\n(stdio + HTTP transport)"]
        MCPServers["External MCP Servers"]
    end

    subgraph llm [LLM Providers]
        CoreLLM["OpenAI / Anthropic\nGemini / Ollama"]
        CompatLLM["OpenRouter / Groq\nTogether / Fireworks"]
        ChinaLLM["DeepSeek / Moonshot\nZhipu / Qwen / Volcengine"]
    end

    subgraph infra [Infrastructure]
        Config["Config\n(Pydantic + JSON5)\n~/.pyclaw/"]
        Memory["Memory\n(SQLite FTS5 + LanceDB)"]
        DailySummary["Daily Summary\n(session consolidation)"]
        Security["Security\n(sandbox / exec approval / SSRF)"]
        Secrets["Secrets\n(env / file / exec refs)"]
        Cron["Cron + Heartbeat\n(APScheduler + history)"]
        Backup["Backup / Restore\n(export / import zip)"]
        Plugins["Plugins + Hooks\n(entry_points)"]
    end

    CLI --> GatewayServer
    FletDesktop --> GatewayServer
    FletMobile --> GatewayServer
    FletWeb --> GatewayServer
    ACP --> GatewayServer

    GatewayServer --> OpenAICompat
    GatewayServer --> RPCMethods
    GatewayServer --> ChannelMgr
    ChannelMgr --> CoreCh
    ChannelMgr --> ExtCh

    RPCMethods --> Runner
    Runner --> Planner
    Runner --> Interrupt
    Interrupt --> MessageBus
    Runner --> Session
    Runner --> Subagents
    Runner --> BuiltinTools
    Runner --> MCPClient
    MCPClient --> MCPServers

    Runner --> CoreLLM
    Runner --> CompatLLM
    Runner --> ChinaLLM

    Config --> GatewayServer
    Memory --> Runner
    DailySummary --> Memory
    DailySummary --> Session
    Security --> Runner
    Secrets --> Config
    Cron --> Runner
    Backup --> Config
    Backup --> Session
    Plugins --> GatewayServer

Project Stats

Metric	Value
Source files	~440 .py + 46 .dart
Source code	~66,400 LOC (Python) + ~4,980 LOC (Dart)
Test files	92 (.py) + 4 (.dart)
Tests	1,932+ (Python) + 49 (Dart)
Channels	25
LLM providers	25+
Built-in tools	20+
RPC methods	25+
CLI commands	25+ groups

Contributing

Pull requests welcome. The project follows standard Python conventions:

Code style enforced by ruff (E/F/I/UP/B/SIM rules)
Type annotations enforced by mypy --strict
All new features should include tests
Async-first architecture throughout

Acknowledgements

This project is inspired by OpenClaw (originally built with a TypeScript stack). pyclaw is a ground-up rewrite using Python + Flet + Flutter, with additional features, aiming to provide a more accessible, extensible, and easily deployable multi-channel AI gateway.

The project serves both as a learning reference for AI Agent development, MCP protocol integration, and multi-channel messaging — and as a production-ready system.

Thanks to the following projects and communities:

OpenClaw — the original project that provided core architectural inspiration
Flet — cross-platform Python UI framework built on Flutter

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chensaics

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0.1.9

Apr 19, 2026

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0.1.7

Mar 17, 2026

0.1.2

Mar 5, 2026

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