ClawSwarm

Rust Lightweight Multi-Agent System - Under 10MB High Performance

ClawSwarm is a lightweight multi-agent system written in Rust, with a binary size under 10MB. Designed for high-performance swarm intelligence and coordinated task execution, ClawSwarm features Telegram integration for accessible multi-agent control and monitoring. GitHub: https://github.com/The-Swarm-Corporation/ClawSwarm Developer: The-Swarm-Corporation (Community Open Source) License: MIT Key Innovation: ClawSwarm brings Rust's performance and safety guarantees to multi-agent systems, achieving high efficiency with minimal resource footprint while maintaining full-featured swarm coordination capabilities.

Core Philosophy: "Swarm intelligence should be fast, light, and accessible"

Why ClawSwarm?

Rust Performance: Memory-safe, high-performance execution.

Under 10MB: Incredibly small for a multi-agent system.

Telegram Control: Manage your swarm through Telegram.

Low Resources: Runs efficiently on minimal hardware.

Key Features

$#1.
Rust-Native Core

• Memory-safe execution
• Zero-cost abstractions
• Concurrent by design
• No garbage collection
• Predictable performance

$#2.
Lightweight Design

• Binary < 10MB
• Memory < 100MB
• Fast startup < 1s
• Low CPU overhead
• Efficient networking

$#3.
Telegram Integration

• Bot command interface
• Group chat support
• Notification system
• Status reporting
• Remote management

$#4.
Swarm Intelligence

• Decentralized coordination
• Task distribution
• Load balancing
• Emergent behavior
• Self-organization

$#5.
Agent Communication

• Message passing
• Shared state
• Event system
• Pub/sub patterns
• Synchronization

Installation

Pre-built Binary

# Linux
wget https://github.com/The-Swarm-Corporation/ClawSwarm/releases/latest/download/clawswarm-linux-x86_64
chmod +x clawswarm-linux-x86_64
sudo mv clawswarm-linux-x86_64 /usr/local/bin/clawswarm

# macOS
wget https://github.com/The-Swarm-Corporation/ClawSwarm/releases/latest/download/clawswarm-macos-x86_64
chmod +x clawswarm-macos-x86_64
sudo mv clawswarm-macos-x86_64 /usr/local/bin/clawswarm

Cargo Install

cargo install clawswarm

Build from Source

git clone https://github.com/The-Swarm-Corporation/ClawSwarm.git
cd ClawSwarm
cargo build --release
sudo cp target/release/clawswarm /usr/local/bin/

Docker

docker pull swarmcorp/clawswarm:latest
docker run -d --name clawswarm swarmcorp/clawswarm:latest

Configuration

config.toml

[telegram]
bot_token = "${TELEGRAM_BOT_TOKEN}"
admin_users = [123456789]
group_id = -1001234567890

[swarm]
max_agents = 50
heartbeat_interval = 30
task_timeout = 300

[agents]
count = 10
model = "gpt-4o-mini"
concurrent_tasks = 5

[logging]
level = "info"
file = "/var/log/clawswarm.log"

[api]
port = 8080
host = "0.0.0.0"

Environment Variables

export TELEGRAM_BOT_TOKEN=1234567890:ABCdef...
export OPENAI_API_KEY=sk-...

Usage

Telegram Commands

/start - Initialize swarm
/status - Show swarm status
/agents - List active agents
/task "Research AI trends" - Submit task
/stop - Stop swarm
/help - Show help

API Usage

# Submit task
curl -X POST http://localhost:8080/api/tasks \
  -H "Content-Type: application/json" \
  -d '{"description": "Research market trends", "priority": "high"}'

# Check status
curl http://localhost:8080/api/status

# Get results
curl http://localhost:8080/api/tasks/123/results

CLI Commands

# Start swarm
clawswarm start

# Add agents
clawswarm agents add 5

# Submit task
clawswarm task "Analyze competitor data"

# View logs
clawswarm logs

Pricing

Free: ClawSwarm is completely free and open source under MIT license. You only pay for the AI models you use through their respective providers.

System Requirements

Use Cases

Lightweight Multi-Agent Tasks

Run multi-agent tasks with minimal resource overhead.

Telegram Bot Swarms

Control agent swarms through Telegram messaging.

Distributed Task Execution

Distribute tasks across multiple agents efficiently.

Resource-Constrained Deployment

Deploy on hardware with limited resources.

High-Performance Automation

Achieve high-performance task automation.

Edge Multi-Agent Systems

Run multi-agent systems at the edge.

Community and Support

• GitHub: https://github.com/The-Swarm-Corporation/ClawSwarm
• Documentation: https://github.com/The-Swarm-Corporation/ClawSwarm#readme
• Issues: GitHub Issues tab
• Discussions: GitHub Discussions tab

Quick Start Guide

Get ClawSwarm running in under 2 minutes — it is a single binary with zero dependencies.

Step 1: Download the Binary

Download the latest release from the official GitHub repository.

Step 2: Run

chmod +x clawswarm
./clawswarm setup

Step 3: Configure

Set your AI model API key and preferred platform integration.

Time to first result: ~2 minutes — No runtime dependencies, single binary.

Full documentation: https://github.com/The-Swarm-Corporation/ClawSwarm#readme

FAQ

Is ClawSwarm free to use?

Yes, ClawSwarm is free and open source (MIT license). You only pay for AI model API costs if using external models.

What are the system requirements for ClawSwarm?

ClawSwarm requires 100MB RAM of RAM minimum. Runtime: Native binary (Rust). It runs on Windows, macOS, and Linux.

Can I self-host ClawSwarm?

Yes. ClawSwarm is open source (MIT) and can be self-hosted on your own hardware. Clone the repository from GitHub and follow the installation guide.

What platforms does ClawSwarm support?

ClawSwarm supports: Telegram. Check the official documentation for the most up-to-date list of supported platforms.

How does ClawSwarm compare to OpenClaw?

ClawSwarm offers a different approach compared to OpenClaw. While OpenClaw provides the largest ecosystem with 13,729+ skills and maximum flexibility, ClawSwarm focuses on multi-agent. Choose ClawSwarm if you prioritize its specific features; choose OpenClaw for the broadest compatibility and community support.

Is ClawSwarm suitable for beginners?

ClawSwarm requires some technical knowledge to set up (Native binary (Rust)). If you are a beginner, consider starting with QClaw (one-click install) or MaxClaw (cloud-based, no setup) first, then graduate to ClawSwarm as you gain experience.

License

MIT License - Free for personal and commercial use.

Tags

multi-agent, rust, lightweight, telegram, swarm, performance, binary, efficient