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A lightweight multi-agent version of OpenClaw built on the Swarms framework. One API, unified messaging across Telegram, Discord, and WhatsApp with optional Claude-powered reasoning.

Project description

ClawSwarm

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A smaller, lighter-weight version of OpenClaw—natively multi-agent, compiles to Rust, and built on the Swarms framework and Swarms ecosystem. One API, unified messaging across Telegram, Discord, and WhatsApp with optional Claude-powered reasoning. Production-ready: gRPC gateway, prompts in code (claw_swarm.prompts), and 24/7 operation. Dockerfile included (Python 3.12).


Overview

ClawSwarm is a streamlined, multi-agent alternative to OpenClaw. It delivers natively multi-agent AI that responds to users on Telegram, Discord, and WhatsApp through a centralized Messaging Gateway. The gateway normalizes incoming messages; the ClawSwarm Agent (Swarms framework, configurable system prompt, Claude as a tool) processes each message and replies via a Replier back to the originating channel. Built on the Swarms ecosystem for reliability, security, and minimal operational overhead—with a path to compile to Rust for performance and deployment flexibility.

Key capabilities

  • Lighter than OpenClaw — Smaller footprint and simpler stack; same multi-channel vision without the full OpenClaw surface area.

  • Natively multi-agent — Designed from the ground up for multi-agent orchestration on the Swarms framework and Swarms ecosystem.

  • Unified ingestion — One gRPC API for all supported channels; add or remove platforms without changing agent logic.

  • Swarms-native agent — Industry-standard orchestration, configurable model and system prompt, Claude available as a tool for deep reasoning and code.

  • Compiles to Rust — Build path to Rust for performance and deployment flexibility.

  • Prompts in code — Agent and Claude-tool prompts are Python strings in claw_swarm.prompts; override via create_agent(system_prompt=...) or edit the module.

  • Production-ready — Optional TLS, environment-based configuration, long-running agent loop suitable for systemd, Docker, or managed runtimes.


Architecture

     Telegram    Discord    WhatsApp
          \        |        /
           \       v       /
            +--------------+
            |   Gateway    |   unified ingest (gRPC)
            +------+-------+
                   |
                   v
            +--------------+
            |    Agent     |   Swarms + Claude tool
            +------+-------+
                   |
                   v
            +--------------+
            |   Replier    |   send back to each channel
            +------+-------+
                   |
     Telegram    Discord    WhatsApp

Flow: User messages arrive on any channel → Gateway normalizes and exposes via gRPC → Agent processes (optionally calling Claude) → Replier sends the response to the correct channel.

Relationship to OpenClaw

OpenClaw is a full-featured personal AI assistant (gateway, many channels, voice, canvas, nodes, skills). ClawSwarm is a smaller, lighter-weight take on that vision: natively multi-agent, built on the Swarms framework and Swarms ecosystem, with a path to compile to Rust. Use ClawSwarm when you want a lean, multi-agent messaging layer; use OpenClaw when you need the full product (companion apps, voice, canvas, etc.).


Requirements

  • Python 3.10+
  • Dependencies listed in requirements.txt (no version pins; use a venv and pin locally if needed)
  • Swarms framework and Swarms ecosystem; Claude Code (for the Claude tool)
  • Platform credentials for the channels you enable: Telegram Bot Token, Discord Bot Token and Channel IDs, and/or WhatsApp Cloud API credentials

Installation

pip3 install -U claw-swarm

Environment variables

Set these in your shell or in a .env file (e.g. --env-file .env with Docker). Omit a platform’s credentials to disable that channel.

Variable Purpose Default
Gateway
GATEWAY_HOST Bind address (gateway) or gateway host (agent) [::] (server), localhost (agent)
GATEWAY_PORT gRPC port 50051
GATEWAY_TLS Enable TLS: 1, true, or yes
GATEWAY_TLS_CERT_FILE Path to TLS certificate file
GATEWAY_TLS_KEY_FILE Path to TLS private key file
Channels
TELEGRAM_BOT_TOKEN Telegram Bot API token
DISCORD_BOT_TOKEN Discord bot token
DISCORD_CHANNEL_IDS Comma-separated Discord channel IDs
WHATSAPP_ACCESS_TOKEN WhatsApp Cloud API access token
WHATSAPP_PHONE_NUMBER_ID WhatsApp Cloud API phone number ID
WHATSAPP_QUEUE_PATH Optional WhatsApp queue path
Agent
AGENT_MODEL Swarms agent model gpt-4o-mini
OPENAI_API_KEY OpenAI API key (for agent model)
ANTHROPIC_API_KEY Anthropic API key (for Claude tool)
Memory
AGENT_MEMORY_FILE Agent memory markdown filename (project root) agent_memory.md
AGENT_MEMORY_MAX_CHARS Max characters of memory to load into context 100000

Quick Start

1. Set environment variables for the channels you use (see Environment variables above for the full table).

2. Run the full stack (gateway + agent in one process group):

./run.sh

Or run each component in a separate terminal:

python -m claw_swarm.gateway    # terminal 1
python -m claw_swarm.main       # terminal 2

Use Ctrl+C to stop; run.sh stops both processes. For 24/7 operation, run under systemd or Docker.

Docker:

docker build -t clawswarm .
docker run --env-file .env clawswarm

Pass channel tokens and AGENT_MODEL via --env-file .env or -e.


Configuration

See the Environment variables table above for the full list. The gateway and agent both read GATEWAY_HOST and GATEWAY_PORT (gateway binds on that address; agent connects to it). Replies use the same platform tokens as the gateway.


Gateway API

gRPC service:

  • PollMessages — Fetch messages since a timestamp (used by the agent runner).
  • StreamMessages — Server-streaming delivery of new messages.
  • Health — Liveness and version.

Messages are normalized to a single schema: UnifiedMessage (id, platform, channel_id, thread_id, sender, text, attachments, timestamp). Use TLS and restrict network access in production.


Security and Operations

  • Secrets — Do not commit tokens or API keys. Use environment variables or a secrets manager.
  • Transport — Enable gateway TLS in production (GATEWAY_TLS=1 and valid certificate and key).
  • Access control — Restrict which clients can reach the gRPC port (firewall, VPC, or mTLS as required).

License

See the repository LICENSE for terms of use.

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